DeepLUDA 2020: 2020 International Workshop on Deep Learning in Large-scale Unstructured Data Analytics Hyatt Regency Tianjin East Tianjin, China, August 12, 2020 |
Conference website | https://deepluda.github.io/ |
Submission link | https://easychair.org/conferences/?conf=deepluda2020 |
Submission deadline | June 26, 2020 |
Acceptance Notification | July 16, 2020 |
Camera-Ready Submission & Registration | July 26, 2020 |
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
- Rize Jin, Tiangong University, China
Program Chair
- Joon-Young Paik, Tiangong University, China
Program Committees
- Shaoqian Yu, Hunan University of Industry and Business, China
- Liangfu Lu, Tianjin University, China
- Yenewondim Biadgie, Ajou University, Korea
- Ziyang Liu, Kyonggi University, Korea
- Muhammad Attique, Sejong University, Korea
- Caie Xu, University of Yamanashi, Japan
- Xun Luo, Tianjin University of Technology, China
- Yunbo Rao, University of Electronic Science and Technology of China, 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=deepluda2020
The conference proceedings, including all accepted papers, will be published in the Springer Lecture Notes in Computer Science (LNCS) series. 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 LNCS Authors. Springer LNCS site offers style files and information: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.
Submissions must be original (not previously published and not under review in other forums). This applies to papers on all tracks of the conference. Authors are advised to interpret these limitations strictly and to contact the PC chairs in case of doubt. 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 and the LNCS digital library.
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 15 pages.