DeepLUDA 2021: 2021 International Workshop on Deep Learning in Large-scale Unstructured Data Analytics Guangzhou, China, August 23, 2021 |
Conference website | http://www.apweb-waim2021.com/workshops/DeepLUDA |
Submission link | https://easychair.org/conferences/?conf=deepluda2021 |
Submission deadline | July 15, 2021 |
This workshop focuses on deep learning applied to large-scale unstructured data, such as that found in social media, healthcare, IoT devices, and online reviews. The international event will bring together academic and industrial researchers to exchange cutting edge research enabling Large-scale Unsupervised learning. Deep Learning to perform in a reliable and user-independent manner handling uncertainty and unforeseen events.
Topics
The topics of interest include, but are not limited to the following:
Deep learning:
- Data Cleaning, Analysis Algorithms
- Data Storage and Management
- Privacy Preservation and Security Issues in Big Data
- Data Compressionn
- Machine Learning
- Deep learning with big or small data
- Deep Recognition Models
- Deep Generative Models
- Parallel and distributed computing techniques
- Visualization methods for the analysis of large-scale data
- Machine Learning in Natural Language Processing
- Applications of Natural Language Processing
Committees
Organizers
- Tae-Sun Chung, Ajou University, Korea
- Zhetao Li, Xiangtan University, China
- Rize Jin, Tiangong University, China
Program Chair
- Joon-Young Paik, Tiangong University, China
Program Committees
- Liangfu Lu, Tianjin University, China
- Ziyang Liu, Kyonggi University, Korea
- Yunbo Rao, University of Electronic Science and Technology of China, China
- Se Jin Kwon, Kangwon National University, Korea
- Feng Xu, Beijing Institute of Petrochemical Technology, China
- Caie Xu, University of Yamanashi, Japan
- He Li, Xidian University, China
- Yenewondim Biadgie, Ajou University, Korea
- Muhammad Attique, Sejong University, Korea
- Zhen Wang, Tianjin University of Finance and Economics, China
- Huayan Zhang, Tiangong University
- Gaoyang Shan, Ajou University
- Xun Luo, Tianjin University of Technology, China
Submission Guidelines
All papers must be submitted through EasyChair system, via the following link. The submission site is now open.
https://easychair.org/conferences/?conf=deepluda2021
The accepted papers of the DeepLUDA 2021 workshop will be published as the Springer's proceedings (as post-proceedings). Authors should avoid the use of non-English fonts to avoid problems with printing and viewing the submissions. All accepted papers MUST follow strictly the instructions for Authors of Springer Computer Science Proceedings(https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
Submissions must be original (not previously published and not under review in other forums). Each accepted paper must be accompanied by at least one full registration, and an author is expected to present the paper at the conference, otherwise, the paper will be removed from the proceedings.
The review process is single-blinded. There is no need for authors to mask their names and affiliations in the manuscript. The maximal length of the paper is 12 pages.