PRICAI 2025: PACIFIC RIM INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 2025

A
Abbas, Sherif Abdulkader Tawfik	Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI)
Abdulla, Waleed	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Adam, Rani	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Ahmadian, Sepideh	Prompt Attacks and Safeguards in Large Language Models: A Survey
Ai, Fudie	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Ai, Guanqun	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
Aickelin, Uwe	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Akama, Reina	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Akbas, Esra	Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights
Aktas, Mehmet Emin	Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights
Alhadidi, Dima	Prompt Attacks and Safeguards in Large Language Models: A Survey
Alvarez-Estevez, Diego	Quantum Fuzzy Inference Systems: Implementation and a Case Study on Sleep Apnea Detection
Aly, Amir	Evaluating Semantic Representations in Multimodal Word Grounding
An, Ning	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
An, Yuhe	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Anthony, Patricia	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Ao, Tu	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Azough, Ahmed	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Azzakhini, Mohammed	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
B
Bahri, Maroua	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
Bai, Jiapeng	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Bai, Quan	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Bai, Ruibin	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Bai, Xiaofei	A Transfer Learning Approach for Fault Diagnosis Based on Frequency-augmented Contrastive Learning
Bai, Yu	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Bao, Junpeng	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching
Bathelet, Guillaume	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Beacham, Nigel	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
Beckedahl, Derrick	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Bei, Chao	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Benecki, Pawel	Metric learning for multi-image super-resolution
Bernardi, Mario Luca	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Bettelli, Manuele	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Bhardwaj, Divya	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Bi, Ying	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Bian, Kun	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Bifet, Albert	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Bifet, Albert	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
Birjais, Roshan	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Björklund, Johanna	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Blyudova, Vasilisa	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Bosman, Peter	Evolutionary Intelligence: From DNA to Deployment
Brandt, Patrick	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Bryan, Karin	Keynote Talk
Bu, Can	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Bu, Chenyang	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Bubendorfer, Kris	Harmonising Community Science Datasets to Model HPAI in Birds in the Subantarctic
Buermann, Jan	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Bui, Nam Khac-Hoai	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Bui, Tien-Tung	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
C
Cai, Lihua	Text2Omni: A Text-only Training Strategy for MLLMs
Cai, Ruichu	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Cai, Ruichu	Balanced Learning for Incremental Multi-view Clustering
Cai, Tao	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Cai, Zhen	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Cai, Zhiwei	RAGCD: Relation-Aware Graph for Cognitive Diagnosis CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Cangelosi, Angelo	Evaluating Semantic Representations in Multimodal Word Grounding
Cao, Guanqun	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Cao, Jianlong	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Cao, Siyuan	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Cao, Yongxiang	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Cao, Yukun	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Cassales, Guilherme Weigert	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Catchpoole, Daniel	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Chai, Enhui	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Chakraborty, Sankardeep	Optimizing Qubit Mapping via Spectral Ordering of Input Graphs for QAOA Max-Cut Circuit
Chang, Fengjie	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Chaput, Romain	Automated Design of Neural Networks for River Flow Prediction using Weather Data
Chareyron, Gaël	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Charters, Stuart	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Cheke, Lucy G.	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Chen, Changjun	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Chen, Chaozong	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Chen, Chen	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Chen, Dihu	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Chen, Dongliang	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Chen, Feiyu	Contrastive Graph Clustering with Structure-Aware Enhancement
Chen, Feng	Balanced Learning for Incremental Multi-view Clustering
Chen, Gang	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
Chen, Guang-Yong	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Chen, Guoting	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Chen, Haotian	Test-Time Recommendation for Safe Medication Combination
Chen, Haoyuan	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Chen, Hetao	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Chen, Jiangtao	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Chen, Jie	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Chen, Jing	Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Chen, Ling	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Chen, Ling	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Chen, Mark	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Chen, Niansheng	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Chen, Peidong	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Chen, Peng	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Chen, Qishen	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Chen, Shufeng	Interpreting Safety: A LLM and STPA Approach
Chen, Siyue	Text2Omni: A Text-only Training Strategy for MLLMs
Chen, Tinghua	Watermarking Counterfactual Explanations
Chen, Wei	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Chen, Wei	Balanced Learning for Incremental Multi-view Clustering
Chen, Wentao	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Chen, Xiaojun	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Chen, Xinyang	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Chen, Xue	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Chen, Xuhang	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Chen, Yanping	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Chen, Yating	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Chen, Yezeng	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Chen, Yifei	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Chen, Yong	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Chen, Zhenqin	CASD: An Accelerated Sampling Framework for ECG Denoising
Cheng, Huazhe	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Cheng, Shih-Fen	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Cheng, Shuang	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Cheng, Songlin	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Cheng, Zixian	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Chennuo, Hu	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Cheung, Yiu-Ming	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Chiera, Belinda	GRACE: A Grover-Enhanced Actor-Critic Framework for Complex Robotic Manipulation
Choi, Key-Sun	Introduction to Hidden-Rad Tasks [Panel discussion] Hidden-Rad Community Vision: Causal Explanation and Trustworthy AI
Chongstitvatana, Prabhas	Benchmarking Under Fragility in a Shifting Quantum Landscape
Chopin, Josh	GRACE: A Grover-Enhanced Actor-Critic Framework for Complex Robotic Manipulation
Choudhury, Firdaus Ahmed	Watermarking Counterfactual Explanations
Chua, Tat-Seng	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Cimitile, Marta	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Colonna, Juan Gabriel	Dual-branch Mamba based multi-label Anuran species classification
Cui, Lizhen	Test-Time Recommendation for Safe Medication Combination EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Cui, Tianxiang	Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Cui, Xiaole	AgentFactory: Towards Automated Agentic System Design and Optimization
Cyrus-Lai, Wilson	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
D
D'Orazio, Vito	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Dai, Hao	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Dai, Weichen	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Dai, Zijie	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Daling, Wang	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Darlan, Daison	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
De Clerck, Bart	A Comparative Study of Variational and Vector Encoders in Graph User Matching
Deep, Kusum	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Demidovskij, Alexander	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Demir, Kaan	A Consistent Lebesgue Measure for Multi-label Learning
Denaro, Francesco	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Deng, Feng	AI4SED Workshop Opening AI4SED Poster Session
Deng, Hongtao	AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Deng, Jiawen	BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Deng, Songhang	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Deng, Yifan	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Devraj,	Optimizing Qubit Mapping via Spectral Ordering of Input Graphs for QAOA Max-Cut Circuit
Dhami, Devendra Singh	Industrial-Scale Autonomous eXplainable Iterative Learning
Di, Yifan	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Dilkes, Jim	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Ding, Chunhui	Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Ding, Jinliang	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Ding, Shiyao	Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Ding, Yepeng	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Dinh, Phuong	Subset Selection for Stratified Sampling in Online Controlled Experiments
Dinneen, Michael J.	Quantum Annealing for Computing Bandwidth: QUBO Formulations and Solution Strategies
Dobbie, Gillian	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Dong, Dong	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Dong, Wanli	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Dorador, Albert	TRUST: Transparent, Robust and Ultra-Sparse Trees
Dräger, Simon	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
Du, Bingting	LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization
Du, Jinda	Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
Du, Wenlong	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Du, Yan	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Dwivedi, Anany	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Dyczkowski, Krzysztof	Player position classification with fuzzy clustering
F
Fan, Chenyou	Enhancing Classroom Engagement with AI: Real-Time Speech-Slide Alignment and Attention Monitoring
Fan, Guangyu	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Fan, Jiahao	Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Fan, Jingwen	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
Fan, Peiyu	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Fan, Peng	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Fang, Jingzhi	A Logic for Ramsey’s Measurement of Credence
Fang, Meng	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Fang, Wei	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Fang, Xiu	PGMN: Subgraph Partition-Based Graph Matching Neural Network A Neural Subgraph Counting Method based on Matching Matrix
Fang, Yan	Patching LLMs Efficiently for Edge Devices
Feng, Ji	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Feng, Zhuoying	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Frolova, Olga	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Fu, Jia	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
Fu, Yingyi	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
G
Gan, Min	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Gao, Lingzhi	CDFG:Enhancing Chain-of-Thought Distillation with Feedback
Gao, Mingkai	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Gao, Sunwei	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning
Gao, Wang	AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Gao, Xiaoying	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Gao, Zhen	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Gao, Ziyuan	StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
Garlan, David	Uncertainty Estimation by Human Perception versus Neural Models
Gegov, Alexander	Explainable Artificial Intelligence for Intrusion Detection in Connected Vehicles
Geng, Guotong	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Geng, Wenwen	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Ghanavati, Mandana	[Keynote Talk]: Spatio Temporal AI for Environmental Hazards and Early Warning
Golzarijalal, Mohammad	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Gomes, Heitor Murilo	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Gomes, Heitor Murilo	Tutorial: Adaptive Machine Learning
Gong, Chunlin	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
Gong, Xin	AI Agent-Driven Workflow Optimization in Building Engineering Management: From Task Perception, Data Integration to Decision Support
Gong, Zehao	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Gordon, Keith	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation
Gou, Jian	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Goyal, Poonam	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Graf, Erich	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Green, Richard	Solving occlusion for complete plant models with accurate 3D metrics
Grzelak, Bartłomiej	Player position classification with fuzzy clustering
Gu, Haoyi	PCGS: Pose Conditioned Generative Steganography
Gu, Junquan	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Gu, Qingqing	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Gu, Tiquan	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Gu, Wen	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Gu, Yuzhu	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Guan, Pengwei	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Guo, Chao	From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression
Guo, Feng	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Guo, Hangzhi	Watermarking Counterfactual Explanations
Guo, Mengtao	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Guo, Qian	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Guo, Qinyu	Quantum Annealing for Computing Bandwidth: QUBO Formulations and Solution Strategies
Guo, Rongzuo	Evolutionary Weight Pruning: A PSO-Based Approach
Guo, Ruiqiang	SAPR: Structure-Aware Pre-reading and Re-reading Network for Handwritten Mathematical Expression Recognition
Guo, Wenzheng	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Guo, Xiaoling	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Guo, Xueliang	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Guo, Yifu	Text2Omni: A Text-only Training Strategy for MLLMs
Guo, Yiming	OfficeMind: Dynamic Agent Collaboration in Multi-Agent Systems for Office Resource Management
Guo, Zhaoru	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Guo, Zhihao	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Górecki, Tomasz	Player position classification with fuzzy clustering
H
Hahm, Young-Gyun	[Keynote] LLM for Hidden causality discovery in radiology report and financial report
Hamitouche, Monsef	Towards a Quantum Resolution of the Knapsack Problem
Han, Mingze	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Han, Neng	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Han, Siyuan	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Han, Xiaoyu	Test-Time Recommendation for Safe Medication Combination
Han, Yamin	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Han, Yue	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Hao, Junfeng	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
Hao, Yihang	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Hao, Zhifeng	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Hao, Zhifeng	Balanced Learning for Incremental Multi-view Clustering
Haqbeen, Jawad	Welcome and Opening Statements
Haqbeen, Jawad	Post-2021 Afghanistan-inflected issues pertaining to the imagination and implementation of online education for girls’ learning
Hartmann, Sven	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
Hasegawa, Shinobu	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
He, Chunhong	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
He, Wei	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
He, Weiwei	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions
He, Xinwei	RAGCD: Relation-Aware Graph for Cognitive Diagnosis CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
He, Yiming	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection
He, Yongcheng	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Heidari, Mitra	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Heidari, Shahrokh	Towards Feature-Aware Seafloor Sediment Habitat Mapping via Zero-Shot Retrieval
Hendawy, Mennatullah	Negotiating with AI in Africa: Testing a Stakeholder-Driven Platform for Ethical Consensus-Building in Phosphate Mining
Herries, Jon	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Heurtel, Geoffroy	ReDo-Net: Reconstruction of Depth under Occlusion for 2D and 3D shape analysis of fruits and vegetables
Hnaien, Faicel	Towards a Quantum Resolution of the Knapsack Problem
Ho, Chun Fai	Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety
Holst, Christoph-Alexander	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Hong, Yunpeng	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Hongkai, Wang	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Hosseini, Mohammadsaleh	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Hou, Feng	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Hou, Hongyu	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Hou, Jian	Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
Hou, Li	A Knowledge-Guided Multi-Task Learning Method for Drill Cuttings Analysis
Hou, Yaqing	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Hou, Zhengxu	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Hou, Ziyi	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Hu, Gang	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Hu, Jie	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Hu, Jikai	ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
Hu, Kuang	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Hu, Minghao	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Hu, Minhan	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity
Hu, Ruimin	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Hu, Shichao	DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification
Hu, Tao	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Hu, Xiaobo	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Hu, Yahang	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Hu, Yaoyao	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Hu, Yazhou	Meta Learning-enhanced Iterative Learning Control for Tracking
Hu, Yue	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Hu, Yupeng	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Hu, Zheng	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Hu, Ziyang	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion
Huang, Anqi	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
Huang, Degen	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Huang, Haoxiang	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Huang, Jun	Evolutionary Weight Pruning: A PSO-Based Approach
Huang, Junhao	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation Automated Design of Neural Networks for River Flow Prediction using Weather Data
Huang, Kaiyu	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Huang, Luobin	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Huang, Renjie	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Huang, Ruiqi	MS‑MLI：A Multi‑Source Mud‑Logging Interpretation Model for Intelligent Oil–Gas–Water Layer Recognition
Huang, Ruizhang	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Huang, Runshan	Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving
Huang, Xiaowei	Interpreting Safety: A LLM and STPA Approach
Huang, Ye	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Huang, Yifeng	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching
Huang, Yongming	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Huang, Yujing	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Huang, Yuwen	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Huang, Yuzhe	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Huang, Zhen	Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Huang, Zhicong	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Huang, Zhijie	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Hunter, Aaron	Belief Change with Full Memory and Trust
I
Ichiyanagi, Taketsuna	Answer Generation for Large-Scale Official Trial Tests in Japanese University Entrance Exams Using RAG
Ignatiev, Yury	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Ikeda, Kazushi	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Ishibuchi, Hisao	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Ishigaki, Tatsuya	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Islam, Tanvir	TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
Ito, Takayuki	Societal Implementation of D-Agree: An Online Discussion Platform with AI Facilitation Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Izumitani, Tomonori	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
J
Jafarie, Somaye	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Jahnke, Huia	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Janni, Michela	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Jellali, Nesrine	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Ji, Haiyang	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Ji, Han	BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Ji, Luo	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Ji, Qirui	Empowering Graph Contrastive Learning with Topological Rationale
Ji, Yatu	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Jia, Deli	An Intelligent Intermittent Operation Optimization Method for Pumping Units under Operational Constraint
Jian, Ye	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Jiang, Hongxu	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Jiang, Jinlong	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Jiang, Shaochen	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Jiang, Wei	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Jiang, Wenyuan	Leveraging Runtime Information for LLM Quantization
Jiang, Xiaorui	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Jiang, Xinyi	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Jiang, Zhonglin	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Jiao, Ruwang	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression
Jiao, Yan	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Jihong, Li	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Jillella, Anna Jessica	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Jin, Canghong	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Jin, Jiarui	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Jin, Xiaozheng	ELM-Based Finite-Time State Observer Designs for Uncertain Robotic Systems
Jin, Yanli	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Jin, Yifan	Empowering Graph Contrastive Learning with Topological Rationale
Jin, Youpeng	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Jobson, Deddy	Subset Selection for Stratified Sampling in Online Controlled Experiments
Julian, Jack Colin	Forecasting Extreme Events in Air Quality with Replay Learning
Julius, Magezi	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Jung, Jane	Surrogate Models of Spiking Neural Networks for Explainability
K
Kadowaki, Kentaro	Visibility improvement in Grad-CAM via high-resolution feature maps with FeatUp1
Kahaer, Mulati	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Kang, Kenan	STMMoE: A Spatio-Temporal Multimodal Mixture-of-Experts Model for Urban Traffic Prediction
Kang, Yuhao	InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions
Kang, Zujie	Dual-branch Mamba based multi-label Anuran species classification
Kann, Bonpagna	TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition Guardrails for LLMs: A Comprehensive Review and Case Study on Bias Mitigation for Responsible AI An Explainable and Teachable Banking Virtual Assistant
Karim, Abdul	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Kashima, Hisashi	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Kato, Shohei	Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
Kawarada, Masayuki	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Kawulok, Michal	Metric learning for multi-image super-resolution
Ke, Xiaolan	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Kennedy, Paul	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Kersting, Kristian	Industrial-Scale Autonomous eXplainable Iterative Learning
Khalid, Roomana	Optimisation of microgrids - A comparison of herd-behaviour-oriented meta-heuristics
Khan, Latifur	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Khastgir, Siddartha	Interpreting Safety: A LLM and STPA Approach
Khlifi, Ahlem	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
Killeen, Daniel	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation
Kim, Hwichan	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Kim, Jin-Dong	[Keynote] Shared task evaluation in the era of LLMs
Kimura, Daichi	XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
Kishi, Tomoji	A Dual mmWave Radar System Using Density-based Sequential Clustering
Kittichaikoonkij, Nathan	Benchmarking Under Fragility in a Shifting Quantum Landscape
Knaup, Julian	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Kobayashi, Ichiro	Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval
Kobayashi, Nao	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Kolenderska, Sylwia	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Kolmanič, Simon	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Kong, Bohan	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Kong, Ming	MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering
Kong, Minghao	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Kong, Xinhao	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Kostrzewa, Daniel	Metric learning for multi-image super-resolution
Kumar, Yogesh	A Study on the Performance of Real-Coded Genetic Algorithms for the Circle Packing Problem Using Q-Learning
Kundu, Shreyan	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Kuturla, Ashok Kumar Reddy	Artificial Intelligence in Structural Health Monitoring: Deep Learning Innovations for Predictive Infrastructure Maintenance
L
Lai, Peichao	ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
Lan, Shiyong	Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Le, Long-Quoc	Phoneme-Based Optimization of Enrollment Selection for Speaker Identification
Lee, Anton	Tutorial: Adaptive Machine Learning
Lee, Lester Kar Jun	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Lee, Raymond	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Lefebvre, Pierre	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
Legaspi, Roberto	Affective Resonance to Agency Alignment: Sense of Agency in Human–centered AI
Lei, Chengxi	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Lei, Yingtie	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Leng, Hao	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Leng, Shuaiqi	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Li, Aoran	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Li, Boshi	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Li, Chao	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction
Li, Gang	IWEAI Workshop Opening
Li, Guohao	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Li, He	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Li, Huakang	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Li, Jie	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Li, Jing	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity
Li, Jing	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Li, Jingru	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
Li, Jinyan	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Li, Jun	Latent Intention-guided Prediction and Planning with Transformer in Autonomous Driving
Li, Jun	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Li, Jun	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Li, Junxin	Text2Omni: A Text-only Training Strategy for MLLMs
Li, Kai	Reasoning from Norms to Collective Agency
Li, Kunrong	RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
Li, Lei	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Li, Li	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Li, Lulu	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Li, Mengfan	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Li, Mingxin	AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Li, Ni	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Li, Peilin	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Li, Ping	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Li, Qiuran	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Li, Ruichen	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Li, Sheng	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Li, Shenglei	A Dual mmWave Radar System Using Density-based Sequential Clustering
Li, Shiyu	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Li, Wanting	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Li, Wei	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Li, Weibing	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Li, Weihua	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Li, Weitong	PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale
Li, Wenxi	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Li, Wenxuan	Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection
Li, Wuyungerile	HCTLR: A Hybrid CNN-Conformer Framework for Offline Handwritten Chinese Text Line Recognition
Li, Xia	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Li, Xiang	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Li, Xiang	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Li, Xianxian	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Li, Xiaolu	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Li, Xin	Microscopic Reservoir Evaluation Technology and Application of Continental Shale Oil Based on Intelligent Core
Li, Xinhe	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Li, Xuefei	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Li, Xujian	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
Li, Yayong	Generalized Few-Shot Node Classification via Training Set Refinement
Li, Yijin	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Li, Yilin	Subset Selection for Stratified Sampling in Online Controlled Experiments
Li, Yize	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Li, Yongke	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Li, Yuefeng	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Li, Yuming	ClinAug: Closing the Performance Gap in Medical Error Detection with Low-Cost Augmentation and ClinicalBERT
Li, Yunmeng	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Li, Zhaoxing	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Li, Zhe	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Li, Zhong	Study on Fracability Evaluation of Deep Coal Seams Based on Combined Weights and improved Q-learning XGBoost
Li, Zijian	Contrastive Graph Clustering with Structure-Aware Enhancement
Li, Zimeng	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Liang, Chang	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
Liang, Jing	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Liang, Jingqi	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Liang, Xiaolong	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
Liang, Xu	Meta Learning-enhanced Iterative Learning Control for Tracking
Liao, Chia-Wen	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Liao, Shujian	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Liao, Yong	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Liao, Zitong	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Lim, Jing Zhe	Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation
Lim, Kwan Hui	RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
Lim, Nick	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Lin, Junkai	PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale
Lin, Kaicun	StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion
Lin, Kang	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Lin, Ping	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Lin, Qingyun	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Lin, Ronghua	Robust Knowledge Tracing model based on Two-Level Contrastive Learning
Lin, Shiyi	MADCAP: A Multi-Agent Deliberative Framework for Robust Assessment of Open-Ended Questions
Lin, Sikai	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Lin, Ta	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Lin, Yiwei	CASD: An Accelerated Sampling Framework for ECG Denoising
Lin, Zhipeng	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Liu, Bingyan	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Liu, Dexin	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Liu, Dongmei	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
Liu, Feng	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Liu, Gang	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Liu, Huan	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Liu, Ivy	Automated Design of Neural Networks for River Flow Prediction using Weather Data Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Liu, Jiacheng	Towards Automation in Log Parsing: Auto-Prompt Optimization with Natural Language Gradients
Liu, Jianning	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Liu, Jiejie	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Liu, Jun	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Liu, Lixiang	Empowering Graph Contrastive Learning with Topological Rationale
Liu, Ming	Automated Fabric Defect Detection Using RTMDet: Application in Denim Manufacturing
Liu, Mingshuo	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Liu, Na	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Liu, Peng	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Liu, Qinghao	Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation
Liu, Runze	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Liu, Shaogeng	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Liu, Shilong	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Liu, Shuang	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Liu, Siyuan	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Liu, Wei	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Liu, Xiangyu	RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Liu, Xiangyu	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Liu, Xiangzhi	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Liu, Xiaoou	VARMA-Enhanced Transformer for Time Series Forecasting
Liu, Xingyu	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Liu, Xingzu	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Liu, Yanbin	Bridging Classical Algorithms and Modern AI Models: Towards Data-Efficient and Generalizable Computer Vision Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Liu, Yanbing	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Liu, Yang	SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Liu, Yi	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Liu, Yi	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
Liu, Yifan	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Liu, Yong	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Liu, Yubo	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Liu, Yuchen	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Liu, Yue	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Liu, Zhengyang	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Liu, Ziqian	Towards Interpretable Load Forecasting: A Liquid Neural Network Approach with Temporal and Feature Importance Modeling
Liu, Zongli	Generalized Few-Shot Node Classification via Training Set Refinement
Lohweg, Volker	Fake Money, Real Threat: Fooling Wavelet-Based Banknote Authentication with AdvGAN
Long, Xue	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Lou, Wei	Enhanced YOLO11-based Real-time Helmet Detection for Construction Safety
Lou, Yunduan	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Ltifi, Hela	Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Ltifi, Hela	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
Lu, Aojun	Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller
Lu, Jinhu	PGMN: Subgraph Partition-Based Graph Matching Neural Network
Lu, Kangkang	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Lu, Lanlan	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
Lu, Lei	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Lu, Min	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Lu, Mingzhe	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Lu, Pengfei	NewtonPIR: Communication Efficient Single-Server PIR
Lu, Rongxing	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Lu, Ruiyi	Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Lu, Shengjie	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Lu, Yongqi	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Luo, Guibo	AgentFactory: Towards Automated Agentic System Design and Optimization
Luo, Ling	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Luo, Shiyi	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Luo, Wei	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Luo, Xiangfeng	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Luo, Yongtao	RT-DETR-MO: A Lightweight Detector for Small Object Detection in Open-Water UAV Imagery
Luo, Zhunchen	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Lv, Jiale	A Neural Subgraph Counting Method based on Matching Matrix
Lv, Zeqiong	Tutorial: Evolutionary Neural Architecture Search: Methods and Theory
Lyu, Chenyang	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
M
Ma, Fuyuan	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Ma, Gaoyuan	EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Ma, Guodong	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Ma, Guofang	MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation
Ma, Hui	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
Ma, Huifang	Advancing Knowledge Tracing through Multi-Granular Representation Learning
Ma, Jiahui	TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Ma, Junjie	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching
Ma, Teng	Contrastive Graph Clustering with Structure-Aware Enhancement
Ma, Yajing	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
MacDonald, Melita	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Magaz-Romero, Samuel	Quantum Fuzzy Inference Systems: Implementation and a Case Study on Sleep Apnea Detection
Maher, Mary Lou	Human-AI Ecosystem as a basis for AI Governance and Education AI literacy as a core component of AI education
Maiti, Jhareswar	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Maliszewski, Krzysztof	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Manage, Prabhashrini	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Mao, Mingzhi	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Matsumoto, Issei	Data Profile Generation Framework for Data Utilization
Mckenna, Ryan	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
McMillan, Carl	Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Mecattaf, Matteo G.	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Mehta, Manasi	Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets
Mei, Yi	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Mei, Ziyang	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Menacer, Djamel Eddine	Towards a Quantum Resolution of the Knapsack Problem
Mendes, Pedro	Uncertainty Estimation by Human Perception versus Neural Models
Michailidis, Dimitris	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Mihailescu, Radu-Casian	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs
Misir, Mustafa	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Mo, Ran	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
Mojallal, Kasra	Prompt Attacks and Safeguards in Large Language Models: A Survey
Momozu, Haru	Subset Selection for Stratified Sampling in Online Controlled Experiments
Moret-Bonillo, Vicente	Quantum Fuzzy Inference Systems: Implementation and a Case Study on Sleep Apnea Detection
Mosqueira-Rey, Eduardo	Quantum Fuzzy Inference Systems: Implementation and a Case Study on Sleep Apnea Detection
Mujtaba, Mariam	Analysing virtual power plant performance in distribution networks with high DER penetration: A systematic literature review
Mukhopadhyay, Souradeep	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Munia, Munawara Saiyara	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
N
Na, Seung-Hoon	[Invited talk] Retrieval–Reasoning Enhanced Generation for Radiology Reports: Experience from the NTCIR-18 Hidden-RAD Task HIDDEN-RAD Task: Using RAG and Tree-of-Thought for Causal Explanation Generation
Nakazawa, Takashi	Detecting and Explaining Deliberative Transformation with the Discourse Quality Index: Insights from Experimental Discussions on Removed Soil in Fukushima
Nan, Yang	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Nema, Aarushi	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Newton, M.A. Hakim	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Ng, Wing W.Y.	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Ngo, Minh-Nhut	Phoneme-Based Optimization of Enrollment Selection for Speaker Identification
Nguyen, Bach Hoai	A Consistent Lebesgue Measure for Multi-label Learning
Nguyen, Dac Thai	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Nguyen, Dung Ngoc	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Nguyen, Duong M.	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Nguyen, Hai Dang	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Nguyen, Hang Thi	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Nguyen, Hung Hoang	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Nguyen, Minh Thuan	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Nguyen, Quang	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Nguyen, The Minh Duc	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Nguyen, Tri Minh	Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI)
Nguyen, Vincent	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Nie, Xiushan	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Nikafshan Rad, Hima	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Nishida, Ryo	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Nishihara, Kenta	OnDeFog: Online Decision Transformer under Frame Dropping
Nishimura, Naoki	Subset Selection for Stratified Sampling in Online Controlled Experiments
Niu, Dejiao	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Niu, Shuzi	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Nong, Ruilin	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Novikova, Irina	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Nyathi, Thambo	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems
Nygc Als Consortium,	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
O
Oeij, Ardi	Output Structure Simplification to Enhance Transformer-Based Text-to-Workflow Translation
Ohashi, Koya	Subset Selection for Stratified Sampling in Online Controlled Experiments
Okuhara, Shun	Consensus Building with AI Agents: Towards an Augmented Democracy
Onishi, Masaki	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Osorio, Javier	QAACoder: A Question Answering Approach to Actor Detection in the Conflict and Mediation Domain
Otte, Ellen	Efficient Selection of Low-Fidelity Data for Multi-Fidelity Surrogate Models
Ouyang, Wenjing	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Oyekan, John	Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
P
Pan, Hong	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Pan, Wei	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Pan, Yihong	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Pan, Yixuan	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Panella, Giovanni	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Pang, Liang	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Pang, Lie Meng	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Panteli, Eirini	GRACE: A Grover-Enhanced Actor-Critic Framework for Complex Robotic Manipulation
Peckler, Brad	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach
Pecori, Riccardo	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
Peng, Anjie	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Peng, Dunlu	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Peng, Fei	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Peng, Haishu	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Peng, Hu	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Peng, Lisha	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Peng, Wenjun	Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation
Peng, Yi	Dynamic Wake Modelling For Offshore Wind Farms Integrating Multisource Data And Physical Processes
Peng, Yong	Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Peng, Yu	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Peng, Yuan	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Pfahringer, Bernhard	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
Pham, Nguyen Dang Huy	MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Piao, Haiyin	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Pillay, Nelishia	A Hyper-Heuristic Approach to Bi-Space Search for Bin Packing Problems Tutorial: Neural Network Design and Large Language Models (NASL2M)
Ping, Zeyu	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Pongtanyavichai, Nutthapat	Benchmarking Under Fragility in a Shifting Quantum Landscape
Prunty, Jonathan	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Pu, Bangzheng	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Pu, Yuanyuan	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Pun, Chi Man	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Q
Qi, Baochao	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Qi, Chengrui	A Novel Ant Colony-Inspired Multi-Agent Collaborative Method for Chinese Grammatical Error Correction
Qi, Yi	Interpreting Safety: A LLM and STPA Approach
Qian, Guoqing	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Qian, Ying	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Qin, Bin	Empowering Graph Contrastive Learning with Topological Rationale
Qin, Huan	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Qin, Jiwei	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Qin, Yang	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Qin, Yanjun	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Qin, Yingjie	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Qin, Yongbin	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Qiu, Zhongyuan	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Qu, Zhonglin	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Quan, Yuchen	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
R
Ramamoorthy, Arnav	DEF-YOLO: Leveraging YOLO for Concealed Weapon Detection in Thermal Imaging
Rammohan, Mallipeddi	AURA-Net: Adaptive Uncertainty-weighted Ranking and Attention-driven Network for Generalized Colon Polyp Segmentation
Ranjit, Mercy	[Invited talk] Generating and Self‑Verifying Radiology Findings and Causal Reasoning
Rao, Lei	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Rao, Rabia Naseer	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Ravikiran, Manikandan	Lie Algebra–Based Semantic Flow for Incompleteness Detection in Summarization
Reddy, Karuna	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Ren, Bin	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Ren, Licheng	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Ren, Qingdaoerji	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Ren, Shangping	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Ren, Shiqi	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Ren, Shuang	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
Ren, Yupeng	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Ren, Zhen	MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Romano, Paolo	Uncertainty Estimation by Human Perception versus Neural Models
Rooney, Jeremy	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation
Roy, Sharanya	AgriVolT: A Multi-Modal Temporal Vision Transformer for Climate-Informed Commodity Price Forecasting
Ruan, Ji	Interpreting Safety: A LLM and STPA Approach
Ruan, Wenjie	Interpreting Safety: A LLM and STPA Approach
S
Sadakane, Kunihiko	Optimizing Qubit Mapping via Spectral Ordering of Input Graphs for QAOA Max-Cut Circuit
Sadr, Pouria	Prompt Attacks and Safeguards in Large Language Models: A Survey
Sahoo, Satyajeet	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Saidi, Houda	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
Saifuddin, Khaled Mohammed	Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights
Saito, Junya	Extracting Automaton from Video Recognition Model
Salnikov, Igor	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Samih, Younes	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Santos, Paulo	GRACE: A Grover-Enhanced Actor-Critic Framework for Complex Robotic Manipulation
Sasaki, Shota	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Sato, Hiroyuki	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Sattar, Abdul	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Schindler, Jan	YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery
Shahamiri, Seyed Reza	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Shang, Ke	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Shang, Yaping	Beyond Local Balance: A Global Perspective for Signed Network Embedding
Shang, Yuxiang	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Shaukat, Saima	Evaluating Semantic Representations in Multimodal Word Grounding
Shen, Sumin	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Shen, Yiqing	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Shen, Zhiqi	DisBERT: Discrepancy Modeling with Transformers for Metaphor Detection
Shi, Bao	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework
Shi, Feng	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Shi, Junfeng	Current Status and Development Prospects of Digital Intelligence Technology in Oil and Gas Well Production
Shi, Longxiang	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Shi, Nuobei	Enhancing Generalized Category Discovery via Chaotic Sparsity Matching
Shi, Qihao	D-FRGAT: Event Prediction Technology Based on Temporal Knowledge Graph Reasoning
Shi, Zijing	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Shimizu, Shoma	OnDeFog: Online Decision Transformer under Frame Dropping
Shinohara, Ayumi	Extracting Automaton from Video Recognition Model
Shirakawa, Shinichi	OnDeFog: Online Decision Transformer under Frame Dropping Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Shu, Lei	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Simoff, Simeon	MediVerse: AI-Powered Interactive Voice-Driven Virtual Reality for Health Data Analytics
Singh, Satwinder	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Slater, Ben	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Smith-Miles, Kate	The search for quantum advantage in optimisation: myths, maths, and the travelling salesman problem
Soltani, Rebh	Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
Song, Baiyang	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Song, Jiajun	VARMA-Enhanced Transformer for Time Series Forecasting
Song, Xiaoyong	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Song, Yanfei	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Song, Zhengping	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Song, Zhenshou	From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation
Sripada, Somayajulu	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
Steckel, Jan	A Comparative Study of Variational and Vector Encoders in Graph User Matching
Stein, Sebastian	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Strem, Nika	Industrial-Scale Autonomous eXplainable Iterative Learning
Su, Lei	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Su, Ruilong	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Sugawara, Keisuke	Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Sukegawa, Noriyoshi	Subset Selection for Stratified Sampling in Online Controlled Experiments
Suksen, Kamonluk	Benchmarking Under Fragility in a Shifting Quantum Landscape
Sun, Binbin	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Sun, Chaochao	CLAF: A Critical Learning Period-Aware Adaptive Framework for Federated Learning in Heterogeneous Environments
Sun, Dezhi	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Sun, Fengyang	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
Sun, Guangdong	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Sun, Guohao	PGMN: Subgraph Partition-Based Graph Matching Neural Network A Neural Subgraph Counting Method based on Matching Matrix
Sun, Hao	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Sun, Jun	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Sun, Jun	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation
Sun, Mingjie	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Sun, Shuo	SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Sun, Yanan	Tutorial: Evolutionary Neural Architecture Search: Methods and Theory Enhancing Replay-Based Continual Learning via Predictive Uncertainty Controller BMSR: A Bidirectional Multi-hop Predictor with Structure-aware Ranking Loss for NAS
Sun, Yibin	Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning Tutorial: Adaptive Machine Learning
Sun, Yuhao	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Sun, Zhixiao	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Sun, Zhong	MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Sun, Ziyi	YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery
Suppakitpaisarn, Vorapong	Optimizing Qubit Mapping via Spectral Ordering of Input Graphs for QAOA Max-Cut Circuit
Suwananek, Poopha	Benchmarking Under Fragility in a Shifting Quantum Landscape
Suzuki, Jun	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
T
Takamura, Hiroya	A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Takano, Yuichi	Subset Selection for Stratified Sampling in Online Controlled Experiments
Tan, Yanchao	MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation
Tan, Zexi	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Tan, Zhiping	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Tan, Zhiwen	LLM-Distilled Surrogate Model for Expensive Multi-Objective Optimization
Tang, Chong	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Tang, Jia	Dual-branch Mamba based multi-label Anuran species classification
Tang, Siliang	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Tang, Xiaolan	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Tang, Xinling	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Tang, Yang	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Tang, Yong	Scholar Data Intelligence and Large Language Model Applications based on SCHOLAT
Tang, Zhihao	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions
Tansel, Abdullah Uz	Tutorial: Blockchain, Semantic Web and Decentralized AI (BCSWDAI)
Tewari, Virendra	Development of fault trees from safety reports to model process risk using CorEx-ARM framework
Tešić, Marko	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Thabrew, Hiran	Unveiling Bias in the Autism AI Dataset: A Patterned Sampling Approach for Balanced Learning
Thomas, Jonathan John	Explainable LLM-Guided Evidence Retrieval for Claim Verification using Knowledge Graphs
Tian, Chunqi	Multiscale Masking Knowledge Distillation for Dense Visual Prediction
Tian, Jie	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Tian, Xin	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Tian, Xing	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Tian, Yuan	Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling
Tong, Nanwei	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading
Tran, Khanh-Tung	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Tran, Truyen	Tutorial: Science in the Fifth Paradigm: A Tutorial on Science Discovery with Artificial Intelligence (S5-TDAI)
Travers, Nicolas	CMoD-VD: Cross-Modal Distillation with Privileged Motion Supervision for Violence Detection
Trevathan, Jarrod	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Trinh, Anne	GLIMPSE: A Lightweight SHAP-Based Framework for Interpretable ALS Biomarker Discovery from Gene Expression Data
Trutnev, Aleksei	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Tugarev, Artyom	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
U
Uchida, Kento	OnDeFog: Online Decision Transformer under Frame Dropping Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift
Uehara, Yuki	Subset Selection for Stratified Sampling in Online Controlled Experiments
Urbańska, Magdalena	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
V
Vejendla, Harshil	Wave–PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
Vennell, Ross	Automated Design of Neural Networks for River Flow Prediction using Weather Data Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Verma, Nilesh	AutoSAD: An Adaptive Framework for Streaming Anomaly Detection
Vetrova, Varvara	Training strategies for nonlinearity removal from Optical Coherence Tomography signals
Vinyals, Marc	Keynote tutorial: QUBO, Pseudo-Boolean and SAT Solving
Voudouris, Konstantinos	A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment
Vu, Xuan-Son	Multifaceted Mastery: Novel LLM Training for Swedish and Vietnamese with Focus on Data Efficiency and RAG Applications
Vurro, Filippo	In-Vivo Biosensors and Visual Data for Precision Agriculture: a Multimodal Approach for Water Stress Detection in Tomato Plants
W
Wan, Zhibin	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Wang, Alan	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Wang, Binbing	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Wang, Bofan	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Wang, Changlong	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Wang, Chen	CARGO-IoT: Cost-Aware Repair-based Genetic Optimization for Budget-Constrained IoT Service Composition
Wang, Chenghao	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Wang, Chunxiao	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Wang, Dan	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Wang, Feng	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Wang, Fuqiang	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Wang, Guangyu	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning
Wang, Guoming	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Wang, Haizhou	When Vision Becomes a Threat: Adversarial Prompt Injection via Visual Embedding Manipulation
Wang, Han	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
Wang, Hang	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Wang, Hansheng	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Wang, Haofeng	AgentFactory: Towards Automated Agentic System Design and Optimization
Wang, Haoran	Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Wang, Hongfei	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
Wang, Hongtao	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Wang, Jiabao Brad	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Wang, Jiawei	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Wang, Jin	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression
Wang, Jing	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Wang, Junxiang	Dual-Aspect Enhancement of Data Replay: Influence-Guided Replay and Contrastive Gradient Modulation
Wang, Kevin	Enhancing the Forward Forward Algorithm with Label Based Similarity for Improved Neural Network Training
Wang, Li	Analysis of Productivity under Close-Cutting Hydraulic Fracturing in Deep Coal Seams
Wang, Lijuan	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank Balanced Learning for Incremental Multi-view Clustering
Wang, Lijuan	Balanced Learning for Incremental Multi-view Clustering
Wang, Lin	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Wang, Lisheng	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Wang, Liuan	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation
Wang, Mengyu	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Wang, Mingbang	GAN-Prototype: Generative Adversarial Networks for Rapid UX Prototype Generation
Wang, Peng	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Wang, Pinghui	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Wang, Qian	Personalized Knowledge Tracing Model with Memory Reinforcement and Forgetting-Aware Mechanisms
Wang, Qihao	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Wang, Ru	PGMN: Subgraph Partition-Based Graph Matching Neural Network A Neural Subgraph Counting Method based on Matching Matrix
Wang, Rui	Empowering Graph Contrastive Learning with Topological Rationale
Wang, Ruili	Empowering Māori Automatic Speech Recognition through EMD-Based Augmentation
Wang, Ruilin	Integrating Sensemaking in a Question-Driven Development Framework for Textual Narrative Reporting Applications
Wang, Ruobing	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions
Wang, Shaolin	From Evolution to Generation: Leveraging LLMs to Redefine Genetic Programming for Symbolic Regression
Wang, Shengchang	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Wang, Siwen	Manuscript_AI-Driven OBN Seismic Data Fault Prediction for Complex Ultra-Deepwater Fault Systems
Wang, Wei	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Wang, Xiaochen	Spatio-Temporal Multi-Granularity Gated Recurrent Transformer Model for individual mobility prediction
Wang, Xiaodan	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Wang, Xiaodan	Tunnel Vision in Online Discourse: Formalization and Entropy-Based Quantification with LLM-Simulated Agents
Wang, Xiaoqiang	A Novel Ant Colony-Inspired Multi-Agent Collaborative Method for Chinese Grammatical Error Correction
Wang, Xiaoyu	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Wang, Xidian	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Wang, Xije	Temporal Knowledge Graph Reasoning with Evolutionary Patterns and Global Latent Associations
Wang, Xin	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Wang, Xin	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
Wang, Xinyu	Can Large Language Models Play to Win? Game-Theoretic Benchmarks in Poker for Probabilistic Reasoning Evaluation
Wang, Yang	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Wang, Yanzhi	HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Wang, Yaohua	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Wang, Ye	A Dual-Domain Perception and Fuzzy Learning Enhanced Framework for Diabetic Retinopathy Grading SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Wang, Yihan	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Wang, Yilei	ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
Wang, Yin	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
Wang, Ying	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Wang, Yiyan	Reasoning from Norms to Collective Agency
Wang, Yizhang	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Wang, Yongli	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
Wang, Yongxu	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Wang, Yu	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
Wang, Yuanyi	Enhancing LLM Abductive Reasoning through MCMC Premise Retrieval
Wang, Yuexin	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Wang, Yuhao	Leveraging Runtime Information for LLM Quantization
Wang, Yuji	Dual-branch Mamba based multi-label Anuran species classification
Wang, Yuke	Research On Clean Alternative Of Oil And Gas Production Coupling Pv, Solar, Steam Heat Storage And Energy Storage
Wang, Yule	Lightweight Neural Architecture Search via Training-free ZiCo-Block Evaluation
Wang, Yuqing	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Wang, Zehui	RetroLEE: Bridging the Gap Between Synthons in Single-step Retrosynthesis
Wang, Zeyu	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Wang, Zhen	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
Wang, Zhi	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
Wang, Zirui	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Wang, Ziyan	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Wang, Ziyi	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Watanabe, Soma	Towards Autonomous Building Construction: A Multi-Agent Framework Leveraging Large Multimodal Models
Wei, Nian	Evolutionary Weight Pruning: A PSO-Based Approach
Wei, Tian	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Wei, Xingshen	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Wei-Neng, Chen	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Wen, Yaming	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Wennekers, Thomas	Evaluating Semantic Representations in Multimodal Word Grounding
Winckelmans, Joeri	A Comparative Study of Variational and Vector Encoders in Graph User Matching
Wojcik-Czerniawska, Agnieszka	How can technological changes influence the shaping and implementation of public policies?
Wu, Chao	CDFG:Enhancing Chain-of-Thought Distillation with Feedback
Wu, Faguo	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Wu, Guotong	Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems
Wu, Hao	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Wu, Hongxuan	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Wu, Jiayue	PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Wu, Jinran	Generalized Few-Shot Node Classification via Training Set Refinement
Wu, Lianghong	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Wu, Nier	Enhancing Keyword Spotting in Mongolian Lead-Type Newspapers through Intermediate Encoding within a Multimodal Framework A Novel Ant Colony-Inspired Multi-Agent Collaborative Method for Chinese Grammatical Error Correction SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Wu, Pengcheng	Patching LLMs Efficiently for Edge Devices
Wu, Shiqing	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Wu, Siyan	Text2Omni: A Text-only Training Strategy for MLLMs
Wu, Xiaoming	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Wu, Yun	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Wu, Yutong	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Wu, Zhendong	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Wu, Zhengyang	A Transfer Framework for Cross-Domain Knowledge Tracing
Wu, Zhijian	Multi-modal Multi-objective Particle Swarm Optimization Using Growing Neural Gas Network
Wumaier, Aishan	FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models
Wáng, Yì Nicholas	Weighted Epistemic Logic: Skill Assessment and Rough Set Applications
X
Xia, Shujun	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Xia, Xuhui	Multiscale Masking Knowledge Distillation for Dense Visual Prediction
Xia, Youchang	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Xia, Zicai	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Xiang, Xinhao	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
Xiang, Yun	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
Xiao, Li	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Xiao, Ling	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Xiao, Wenyue	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Xiaocui, Yang	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Xie, Hao	Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Xie, Hao	Robust Multi-Target Regression for Oil–Gas–Water Three-Phase Flow Rate Prediction Using Magnetic Resonance Technology
Xie, Hong	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Xie, Jie	Dual-branch Mamba based multi-label Anuran species classification
Xie, Jinyang	Spatiotemporal Prediction of Hydraulic Fracture Dynamics Propagation Monitoring by Distributed Optical Fiber Based on CNN-LSTM
Xie, Pengcheng	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Xie, Suchun	Understanding Cross-Lingual Generalization of English-Centric LLMs: The Role of Representation Similarity and Data Exposure
Xie, Tao	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Xie, Xinxu	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Xie, Yuxin	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
Xie, Yuxuan	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
Xin, Yu	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Xing, Hao	SASP-NMT: Syntax-Aware Structured Prompting for Low-Resource Neural Machine Translation
Xing, Luxi	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Xingli, Yang	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Xiong, Shengyu	HFCNet: A Spatial-Frequency Collaborative Multi-Scale Network for Infrared Small Target Detection Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Xiong, Wei	A Logic for Ramsey’s Measurement of Credence
Xiong, Wenping	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Xiong, Xuan	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Xu, Chen	Prompt Efficient Generation Agent for Skin Lesion Segmentation
Xu, Chunlin	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Xu, Huahu	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Xu, Jianhua	A Feature-aware Label Selection Approach Based on Matrix Interpolation Decomposition
Xu, Jingning	PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization
Xu, Jinshan	CASD: An Accelerated Sampling Framework for ECG Denoising
Xu, Kai	Hybrid CNN-LSTM-AE Framework with LLM-Driven Sentiment Analysis for Anomaly Detection within the Cryptocurrency Markets
Xu, Muyang	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction
Xu, Nan	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Xu, Peng	Morpheus: Accelerating Large Language Models with Feature-Augmented Autoregressive Drafting
Xu, Senrong	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Xu, Weifeng	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Xu, Xiantao	SCD-HDC: A Hallucination Detection and Correction Method for LLMs Based on Syntactic Component Decomposition
Xu, Xuefeng	Gradient Reweighting-Based Representation Intervention and Prompting Framework for Emotion Recognition in Conversation
Xu, Yanjun	Multiscale Masking Knowledge Distillation for Dense Visual Prediction
Xu, Yonghui	Test-Time Recommendation for Safe Medication Combination EDGM: Efficient and Dynamic Generative Model for Dataset Distillation
Xu, Yongqiang	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Xu, Zehao	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Xu, Zishan	Text2Omni: A Text-only Training Strategy for MLLMs
Xue, Bing	A Consistent Lebesgue Measure for Multi-label Learning YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation Automated Design of Neural Networks for River Flow Prediction using Weather Data Local Context-Aware Buoyancy Prediction for Mussel Farm Floats Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Xue, Bing	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Xue, Chao	StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
Xue, Mingliang	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Xue, Ning	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Xue, Yaru	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Xuefei, Cao	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Y
Ya-Hui, Jia	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Yadav, Amulya	Watermarking Counterfactual Explanations
Yan, Congquan	MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering
Yan, Feng	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Yan, Lecheng	UniAVLM: Unified Large Audio-Visual Language Models for Comprehensive Video Understanding
Yan, Li	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Yan, Mingliang	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Yan, Xue	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Yan, Yiming	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Yan, Yu	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Yang, Bo	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Yang, Bochuang	MACT: Mutation-Aware CNN-Transformer for ESG Forecasting
Yang, Cuie	Industrial Hierarchical Transformer: Process-Aware Patching and Hierarchical Attention for Industrial Tabular Fault Diagnosis
Yang, Degang	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Yang, Desen	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Yang, Dingyu	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Yang, Fengyu	Text2Omni: A Text-only Training Strategy for MLLMs
Yang, Jieming	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Yang, Kai	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Yang, Keke	Federated Dual-Clustered Prototype Learning under Domain Heterogeneity
Yang, Li	PGMN: Subgraph Partition-Based Graph Matching Neural Network A Neural Subgraph Counting Method based on Matching Matrix
Yang, Liran	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Yang, Puyuan	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Yang, Qimeng	Improving Intent Detection with Hierarchical Multimodal Representation and Triplet Contrastive Learning
Yang, Suiyu	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Yang, Wang	Boost Cross-distribution Generalization by Expert Multi-head Attention for Capacitated Arc Routing Problem
Yang, Weiyong	Enhancing Graph Anomaly Detection with Contrastive Pre-training and Pseudo-label Learning
Yang, Xi	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Yang, Xiaoteng	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Yang, Xin	Leveraging Runtime Information for LLM Quantization
Yang, Yang	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Yang, Yichen	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Yang, Yongkang	LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs
Yang, Yun	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Yang, Yunfei	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Yang, Yuxuan	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Yang, Zheng	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Yao, Naimeng	Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning
Yazdanpanah, Vahid	PTFA: An LLM-based Agent that Facilitates Online Consensus Building through Parallel Thinking
Ye, Nan	Generalized Few-Shot Node Classification via Training Set Refinement
Ye, Yujian	BLAH: Enhancing Small Object Detection via a Bi-Level Interactive Head with Multi-Level Self-Attention
Ye, Zesheng	Tutorial: Neural Network Reprogrammability: Towards A Unified Framework for Parameter-Efficient Model Adaptation
Ye, Ziyu	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Yi, Weiyun	OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
Yi, Zilian	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Yifei, Zhang	Adaptive Persona Context Modulation for Personalized Emotional Support Conversation
Yin, Baosheng	VGHTCoder Multi-Agent Code Generation with Hypothesis Testing and Verification-Guided
Yin, Min	Balanced Learning for Incremental Multi-view Clustering
Yin, Ming	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Yin, Xiangyu	Interpreting Safety: A LLM and STPA Approach
Ying, Cunrui	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Yoshinaka, Ryo	Extracting Automaton from Video Recognition Model
Yotsufuji, Daiki	OnDeFog: Online Decision Transformer under Frame Dropping
Yu, Hang	FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling
Yu, Hua	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Yu, Jiahao	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Yu, Jiakang	AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Yu, Jin	IB-ToM: Human-AI Coordination for Unseen Partners with Evolving Strategies
Yu, Jingfei	UI-Most: Leveraging Multi-Agent Systems for One-Shot Automatic GUI Testing
Yu, Jun	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Yu, Kunjie	A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators
Yu, Nanjun	Contrastive Graph Clustering with Structure-Aware Enhancement
Yu, Qi	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Yu, Qing	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
Yu, Ruiqi	TFA-DQAS: Temperature-Feedback-Adapted Differentiable Quantum Architecture Search
Yu, Tao	CASD: An Accelerated Sampling Framework for ECG Denoising
Yu, Wang	Model Evaluation with Precision, Recall, and f1 Measure Based on Block-regularized mx2 Cross Validation for Text Corpus
Yu, Xusheng	MGMRec: Learning Multi-Granularity Representations for Multi-Behavior Recommendation
Yu, Yanhua	HiGraph-LLM: Hierarchical Graph Encoding and Integration with Large Language Models
Yu, Yanwen	A Machine Learning Approach for High-Accuracy Condition Diagnosis of ESPCP Wells
Yu, Yifeng	LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing
Yu, Yingzhou	LLM-KGPlan: Long-Horizon Task Planning via Knowledge-Guided Reasoning
Yu, Yong	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Yu, Zihao	A Multi-Stage Data Construction Approach for Code-Switching Grammatical Error Correction Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Yuan, Conghu	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Yuan, Fang	TSSA-Net: A Temporal-Spiking-Spatial-Attention Network for Frequency-Aware and Robust Time Series Forecasting
Yuan, Gonglin	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning
Yuan, Huaqiang	StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion Improving Nystrom Spectral Clustering with Unsupervised Vector Quantization and Incomplete Cholesky Decomposition
Yuan, Shuaizhuo	Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Yuan, Shuguang	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Yuan, Weihong	Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Yuan, Yiliang	MC-GNNAS-Dock: Multi-criteria GNN-based Algorithm Selection for Molecular Docking
Yue, Yunhui	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Z
Zeng, Fanzhi	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Zeng, Fanzhi	RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Zeng, Guanyuan	UniTCP: Traffic Prediction via UniBasis Spectral Filtering and Temporal Convolutional Projection
Zeng, Hui	Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-based Models
Zeng, Sisi	SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting
Zeng, Zhaokang	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Zha, Daren	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions
Zhan, Zihao	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Zhang, Chao	BAD: Bidirectional Attention-Guided Distillation for Object Detection
Zhang, Chen	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Zhang, Chengyu	SWD-HTM: An novel Hierarchical Temporal Memory Model Integrating Optimal Transport and Sparse Autoencoder
Zhang, Chi	Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations
Zhang, Dabao	Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Zhang, Dehai	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Zhang, Di	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Zhang, Enci	AgentFactory: Towards Automated Agentic System Design and Optimization
Zhang, Faming	Dual-branch Mamba based multi-label Anuran species classification
Zhang, Fangfang	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Zhang, Fei	TVL-Filter: Total Variation Loss–Based Sample Filter for Efficient Adversarial Detection
Zhang, Ge	PGMN: Subgraph Partition-Based Graph Matching Neural Network A Neural Subgraph Counting Method based on Matching Matrix
Zhang, Ge	CLRec: A Contrastive Learning Framework with Enhanced Labeling for Multi-functional LLM-Based Recommendations
Zhang, Guoyan	NewtonPIR: Communication Efficient Single-Server PIR
Zhang, Guozhi	Time-Frequency Self-Supervision and Multi-Adversarial Domain Adaptation
Zhang, Hanleran	AFD-STA: Adaptive Filtering Denoising with Spatiotemporal Attention for Chaos Prediction
Zhang, Hao	Spatio-temporal dynamic multi-scale graph convolutional networks for traffic flow prediction
Zhang, Haobo	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling
Zhang, Hong	LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs
Zhang, Hong	Generalized Few-Shot Node Classification via Training Set Refinement
Zhang, Hongxing	TBERT: Bridging Text Generation and Score Regression through Hierarchical Feature Fusion based LLM for Automated Essay Scoring
Zhang, Huaiwen	Controlled Cluster Separation for Class Incremental Learning
Zhang, Huigang	Proxy-Mamba: Training-Free Architecture Search for Mamba via Gradient-Weight Correlation
Zhang, Jiahao	A Vision-Language Fusion Framework for Ethnic Minority Costume Image Captioning
Zhang, Jian	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Zhang, Jiawei	EffiPerception: A Plug-and-Play Efficiency Enhancement Framework for 2D and 3D Perception Models
Zhang, Jiayu	ADR-CSL and SPSA-Assisted Feature Enhancement for Aerial Detection
Zhang, Jinglang	BERT-TCPE: A Term-Class Probability-Enhanced BERT Framework for Uncertainty-Aware Medical Text Classification
Zhang, Jinming	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Zhang, Juntao	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Zhang, Kangning	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Zhang, Kexuan	ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring
Zhang, Liangliang	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Zhang, Lingfeng	Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for sEMG Gesture Classification
Zhang, Lingling	MGDD: Multidimensional Graph Data Distillation via Contrastive Learning and Feature-Enhanced Propagation
Zhang, Man	Improved GJO optimized CNN-BiLSTM-Attention touchdown speed prediction model
Zhang, Mengjie	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals A Consistent Lebesgue Measure for Multi-label Learning YOLOv8-UT: A Unified Training Approach for Cross-Environment Tree Crown Instance Segmentation in Aerial Imagery A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators From Catch to Product: Machine Learning Driven Spectral Analysis for Fish Processing Line Allocation Automated Design of Neural Networks for River Flow Prediction using Weather Data Scalable Knee-Point Guided Activity Group Selection in Multi-Tree Genetic Programming for Dynamic Multi-Mode Project Scheduling Local Context-Aware Buoyancy Prediction for Mussel Farm Floats Partial Multi-Label Feature Selection Based on Matrix Elastic-Net
Zhang, Min	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Zhang, Muxiang	Balancing Fairness and Performance Under Multiple Sensitive Attributes
Zhang, Pei	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Zhang, Peng	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Zhang, Qian	Fine-tuning Alignment of Large Language Models via Label Smoothing and Intermediate Contrastive Learning
Zhang, Qiang	GAM: A Generative Autoencoder for Diverse Human Motion Prediction
Zhang, Qichen	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Zhang, Qingjun	Multi-Stage Variance-Controlled Gradient Updates: Toward Robust Continual Learning
Zhang, Qingming	AMNN: Uniting Attention Mechanism and Adversarial Contrastive Learning for Adaptive Multimodal Knowledge Graph Completion
Zhang, Quan	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Zhang, Rui	FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning
Zhang, Runhua	SAM-Lightning: Segment Anything Model for Efficient Inference and Reduced Memory Footprint
Zhang, Shan	A Quadratic Programming Framework Unifying Different Types of Visual Servoing With Obstacle Avoidance for Joint-Constrained Robots
Zhang, Shuaiwei	Meta Learning-enhanced Iterative Learning Control for Tracking
Zhang, Shuntai	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Zhang, Songming	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Zhang, Tengfei	FuzzyProbNet: An Interpretable Fuzzy Probabilistic Network for Cement Compressive Strength Prediction
Zhang, Weinan	DREAM: A Dual Representation Learning Model for Multimodal Recommendation
Zhang, Xiang	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Zhang, Xiangyang	Development of a Deep-learning-Based Model for Rapid Production Forecasting and Optimization of Mature Waterflooding Fields
Zhang, Xiangyu	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Zhang, Xiao	Residual-based Adaptive Domain Decomposition Method for the Physics-Informed Neural Network
Zhang, Xiaofeng	MoCo-ANA: MoCo-like Adaptive Neighbor Aggregation for Face Clustering
Zhang, Xingsheng	Assessing Nuanced Personality Inducing in Language Models via Vignette Tests
Zhang, Xishun	Current situation and prospect of new energy technology in China's oilfields
Zhang, Xiujun	SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
Zhang, Xubo	Generalized Few-Shot Node Classification via Training Set Refinement
Zhang, Yanan	Empowering Graph Contrastive Learning with Topological Rationale
Zhang, Yiqun	MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
Zhang, Youwei	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Zhang, Yulin	UCTPose: Uncertainty-aware Multi-view 3D Animal Pose Estimation
Zhang, Yun	A Dynamic Time-Frequency Representation and Cross-Attention Model for Production Forecasting in Waterflooding Oilfields
Zhang, Yunyu	Focus on What Matters: Object-level Semantic Alignment for Multimodal Named Entity Recognition with multiple images
Zhang, Yuyao	Dynamic Balance Sorting and Co-evolutionary Algorithm for Expensive Many-objective Optimization
Zhang, Yuzhe	LMSQuant: Learnable Multiscale Post-Training Quantization for LLMs
Zhang, Zhuowen	A Data Augmentation Approach Using Sentiment Analysis and WordNet-Based Comments Transformation
Zhang, Zihao	SpecMixer:A Frequency-Aware Framework for Mitigating Spectral Confusion in Multivariate Time Series Forecasting
Zhang, Ziyi	Controlled Cluster Separation for Class Incremental Learning
Zhao, Binru	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Zhao, Jiayi	Knowledge Graph Multi-Hop Reasoning Framework Based on LLM and Relation Path Matching
Zhao, Jiayi	WaveDSTG: A Multiscale Wavelet-Based Spatio-Temporal Attention for Temporal Knowledge Graphs Reasoning
Zhao, Junhong	LLM-Based Simulation Tool for Clinician-Patient Communication Training: A Dual-Mode AI Approach Local Context-Aware Buoyancy Prediction for Mussel Farm Floats
Zhao, Kun	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Zhao, Longhui	Dual-branch Mamba based multi-label Anuran species classification
Zhao, Minghua	High-Order Information Embedding Transfer for Clustering with Constrained Laplacian Rank
Zhao, Qingfei	HyKAG: Hybrid Knowledge-Aware Retrieval-Augmented Generation for Knowledge-Intensive Questions
Zhao, Qingjie	DBFormer: Dual Branch Transformer for Visible-infrared Person Re-identification
Zhao, Sanyuan	InteractiveVideo: Personalize Your Video with Synergistic Multimodal Instructions
Zhao, Shiman	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Zhao, Wei	Prompt-Enhanced Multimodal Learning for Robust Sentiment Analysis with Incomplete Data
Zhao, Wen	Few-Shot Document-Level Relation Extraction Based on Chain-of-thought with Discriminative Multi-view Prototype Tuning Document-level Relation Extraction with Multi-scale and Non-bridge Reasoning
Zhao, Wenting	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Zhao, Wenwen	TDCRec: Time-varying Demand Causal modeling for Recommendation debiasing
Zhao, Xin	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Zhao, Xingyu	Interpreting Safety: A LLM and STPA Approach
Zhao, Xuanpu	MASM-Net: A Multi-Scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals
Zhao, Yali	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Zhao, Yang	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Zhao, Yao	MeDRNet: A Knowledge-Augmented Multi-Model Framework for Robust Medical Language Understanding
Zhao, Yishu	Faster Words Memorization: Reaction Time-Aware Interval Repeat Memory Optimization
Zhao, Yu	AI-Augmented Magnetic Resonance Technology for Intelligent Multiphase Flowmetering in Oil and Gas Wells
Zhao, Yue	Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
Zhao, Yuqi	DEIMerge: An Automatic Program Repair Framework Based on Multi-agent Collaboration and Intelligent Patch Merging
Zhao, Zhendong	ColorFP: Improving AI-Generated Text Detection via Fixed Vocabulary Partitioning and Half-Bit Fingerprinting
Zhao, Zhenpeng	PsyChild: A Child-Centric Psychological Companionship LLM with Fine-Grained Multiturn Dialogue Evaluation Benchmark
Zhao, Zhigang	MSPA-STDGN: An Air Quality Prediction Method Based on Multi-Scale Patch-Aware Spatiotemporal Dynamic Graph Network
Zharikov, Egor	Hebb-inspired Low Rank Adapters for Large Language Models Fine-tuning
Zheng, Panpan	CLIP-LMFA: Few-Shot Anomaly Detection via Large Language Model-Driven Hybrid Prompts and Multi-Scale Adaptive Fusion
Zheng, Wei	Wind Power Curve Data Cleaning Model Based on LOF-ITSM
Zheng, Yupei	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Zheng, Zhijie	MDGFusion: A Mask-Guided Depth-Reliable Generative Approach for 3D Object Detection via 4D Radar-Camera Fusion UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Zhong, Chengli	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Zhong, Mingze	Bridging Confidence and Competence: Evaluating Self-Assessment Alignment in LLM Mathematical Reasoning
Zhong, Rui	Enhanced Vegetation Evolution with Adaptive Mutation and Elite Exchange Strategies
Zhou, Haojie	BAD: Bidirectional Attention-Guided Distillation for Object Detection
Zhou, Huichi	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Zhou, Jun	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Zhou, Lizhi	BiGMF: Multimodal Sentiment Analysis By Bidirectional Cross-Modal Attention with Geometric Volume Regularization
Zhou, Ruqi	An Investigation into Emotion Recognition Methods and Learning Intervention Strategies for Students Based on Attribute Simplicial Theory
Zhou, Shufan	Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Zhou, Wei	UniPT: A Unified Representation Pre-Training for Multi-dataset 3D Object Detection
Zhou, Wenbo	FreezeSeg2RL: Frozen Segmentation Pretraining for Reinforcement Learning On vascular Interventional Robot Autonomous Delivering
Zhou, Xin	Context-Aware and Knowledge-Grounded Conversational Recommendation with Prompt Learning
Zhou, Xinyuan	Diff-DTF: Dynamic Temporal Feature Extraction and Refinement with Diffusion Model in Time Series Anomaly Detection
Zhou, Yan	RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Zhou, Yan	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Zhou, Yi	KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
Zhou, Yifan	CluRF: Combining Unsupervised Clustering with Explainable Ensemble Learning for Risk Prediction
Zhou, You	Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain
Zhou, Yuexia	RAGCD: Relation-Aware Graph for Cognitive Diagnosis
Zhou, Yuexia	CRQCDM: A Causal Representation and Contextual Q-matrix Cognitive Diagnosis Model
Zhou, Yulong	Multimodal Named Entity Recognition with Synthesized SVG Graphics and Structural Semantic Consistency Scoring
Zhou, Yuquan	VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences
Zhou, Zijie	Combining Non-Numerical Text and Numerical Sequences in LLM-based Survival Prediction
Zhu, Dezhong	Incremental Hashing with Asymmetric Distance for Image Retrieval in Non-stationary Environments
Zhu, Guohua	Guided Attention Mechanism in Multi-turn Dialogue Summarization
Zhu, Haisu	Solving Low-dose Computer Tomography inverse problem by learning the first-order score of the sparse sinogram samples' distribution
Zhu, Jianyong	Can Large Language Models Handle Numeric Constraints? A Comprehensive Study and Solutions
Zhu, Longze	SED-SLAM: Enhancing Monocular SLAM under Image Distortions via Spatially Equalized Deep Feature
Zhu, Luyao	Scheduling Heuristic Learning via Genetic Programming for Dynamic Flexible Job Shop Scheduling with Heterogeneous Batch Arrivals
Zhu, Tao	LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection
Zhu, Xinning	HGTUL: A Hypergraph-based Model For Trajectory User Linking
Zhu, Xueying	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Zhu, Xun	AMCCL: Adaptive Multi-Scale Convolution Fusion Network with Contrastive Learning for Multimodal Sentiment Analysis
Zhu, Xunfei	PRISM: Principled Reasoning for Identifying and Suppressing Model Biases at Scale Bayesianly-Corrected, Bandit-Optimized Multi-Agent LLMs: Rethinking Agents via Control-Theoretic Dynamics
Zhu, Yaodi	More Imperceptible Adversarial Attack Method on Graph Neural Networks
Zhu, Yuesheng	AgentFactory: Towards Automated Agentic System Design and Optimization
Zhu, Yunqiang	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Zhu, Yuqing	CoTraX: An Efficient Parallel Training Method for On-Policy Deep Reinforcement Learning
Zong, Fangrong	An End-to-end Deep Learning Framework for Alzheimer's Disease Diagnosis by Using Multi-Site and Multi-Modal MRI Data
Zong, Hao	Best of Both Worlds? A Glance at Efficient Reasoning for LLM-based Machine Translation
Zou, Anqi	An Active Structure-learning Strategy for LLMs-based Document-level Event Extraction
Zou, Qin	Learning 3D Proposals in Spatio-Temporal Transformer for Multi-Camera Driving Scene Object Detection
Zou, Tao	StructuralCoder: Repository Structure based RAG for Repository-Level Code Completion
Zou, Zhiqiang	Predict Social Economic Outcomes by Transferred Knowledge with Satellite Imagery
Zuo, Lei	Towards Effective Event Argument Extraction via Enhanced Contextual Understanding
Zuo, Xingquan	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling