AIAS 2025: Volume Information

Proceedings of AI for Accelerated Research Symposium

24 articles220 pagesPublished: April 19, 2026

Papers

Yifan Zhang, Bryan Hooi and Shuicheng Yan
1-10
Anjun Chen, Lu Tian and Jorg Rodriguez
11-15
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao and Xiaowei Jia
16-26
Trevor Kwan, Jaimie Lee and Raymond Ng
27-35
Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, Yao-Ting Wang, Joah Han, Aastha Jhunjhunwala, Rucha Apte, Robert Clark, Kang Xu, Zihan Wang and Kai Liu
36-49
Gabriel Reder, Carl Collins, Larisa Soldatova and Ross King
50-56
Meiyu Li, Juliana Laze, Daniel Friedman, Orrin Devinsky and Zhe Chen
57-64
Sanjita Prajapati, Ashutosh Dumka, Rajan Thakulla, Atmadip Goswami, Karo Ahmadi Dehrashid and Anuj Sharma
65-76
Thomas Henning and Colin Camerer
77-84
Quintin Pope, Rohan Varma, Christine Tataru, Maude David and Xiaoli Fern
85-88
Krishiv Piduri
89-92
Stephen Hutt
93-97
Binrong Zhu, Ruxue Jin, Yang Liu, Guiran Liu, Qun Wang and Phuong Mai Nguyen
98-102
Guiran Liu, Binrong Zhu, Yang Liu and Qun Wang
103-107
Risto Miikkulainen and Swathi Kiran
108-112
John Lins and Wei Liu
113-120
Keith Moore, Jun Kim, David Lyu, Jeffrey Heo and Ehsan Adeli
121-137
Keith Moore
138-152
Frazier N. Baker, Daniel Adu-Ampratwum, Reza Averly, Botao Yu, Huan Sun and Xia Ning
153-176
Azam Shirali, Vitalii Stebliankin and Giri Narasimhan
177-186
Bing Hu, Jong-Hoon Park, Young-Rae Cho, Helen Chen and Anita Layton
187-197
Aparna Joshi, Matthew Rizzo and Anuj Sharma
198-207
Yetunde Longe-Folajimi, Leonidas Deligiannidis, Salem Othman and Ibukun Folajimi
208-217
Shengchao Liu
218-220

Keyphrases

16S, Adapting rather than Retraining, advection-diffusion PDE system, Agent-as-a-Judge, Agentic AI, Agentic Framework, Agentic systems for scientific simulation, AI-assisted programming, AI for physics, AI for Science, Artificial Intelligence, Artificial Intelligence in Healthcare, Battery research, behavioral science, Belief formation in foundation models, Biology, Biomedical Natural Language Processing, ChatGPT, Clinical documents, clinical science, clinical trial, Cognitive impairment detection, Constrained retrosynthesis planning, Context-Aware AI, context optimization, data augmentation, deep learning2, Diet, diffusion for control, diffusion model, Digital Twins, Domain Adaptive Pretraining (DAPT), domain knowledge, drug discovery, drug optimization, Edge Intelligence, EEG, ELECTRA, Electrolyte Solvent Screening, environmental ecosystems, Equity, Federated intelligent agents, Fibromyalgia, Foundation Model2, GenAI revolution, Generative AI2, generative model, GPQA Diamond Benchmark, gut health, Healthcare Transformation, High-frequency Promotion, Human-AI Complementarity, In-vehicle audio, Inflammatory Bowel Disease, Instruction Tuning, inverse optimization, IoT-enabled bin monitoring, knowledge representation, large language models3, Large language models (LLM) on edge, Large Language Models (LLMs), learning health systems, Learning Sciences, LHS unit, LLaMA 3.1 70B, LLM-based Agent, LLMs, machine learning, Medical case simulation with AI agents, microbiome, mild dementia, modeling, Molecular Ranking, MRI segmentation, Multi-agent explainability and debugging, Multi-view fusion, Natural Language Processing2, Omniscience, One-step Diffusion, Ontologies, open clinical AI science, out-of-domain generalization, passive monitoring, phylogenetic, Physical layer sensing, Policy-driven decision-making, Pre-training, Proactive Threat Mitigation, Prompt-Augmented Segmentation with SAM-2, Protein binding interfaces prediction, real-time object detection, Real-time spectrum mapping, reasoning and planning, Reasoning-based Knowledge Distillation, Rehabilitation, Relation Extraction, Research Process Automation, Retrieval-Augmented Generation (RAG), Role-based reasoning in diagnostic modeling, s1K Reasoning Dataset, scientific discovery, Scientific Literature Corpus, scientific reasoning, Scientific Workflow Automation, scoring functions, Secure network slicing, Segmentation as a color channel, Segmentation as an imaging modality, Segmentation is attention, Segmentation Models, Self-Organizing Maps, self-supervised, semantic code retrieval, Semantic Web, Sentiment Analysis, Shared memory coordination in multi-agent systems, Smart Waste Management, spatio-temporal data, spectrum efficiency, speech analysis, SUDEP risk, Sustainable Software Development, synthetic AI subjects, synthetic data, Temporal Context Alignment, Text-to-Image Generation, theory, topic modeling, Traffic Scene Understanding, transformer, Triple-negative breast cancers, Use of Foundation Models for Medical Imaging, Video Question Answering, Vision-Language Models, Vision Mamba, Voice biomarkers, Waste sorting automation, YOLOv5/YOLOv8.