Workshop Topics

Notice: Considering the current situation of COVID-19 globally, the APWeb-WAIM 2020 Organizing Committee has decided that APWeb-WAIM 2020 and its workshops will be a fully virtual events. The DeepLUDA 2020 workshop date is 20 September, 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. 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

Organization

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
Seungmin Oh
Kongju National University, Korea
Liangfu Lu
Tianjin University, China
Seungjae Shin
Electronics and Telecommunications Research Institute (ETRI), Korea
Xun Luo
Tianjin University of Technology, China
Yunbo Rao
University of Electronic Science and Technology of China, China
Yenewondim Biadgie
Ajou University, Korea
Ziyang Liu
Kyonggi University, Korea
Muhammad Attique
Sejong University, Korea
Caie Xu
University of Yamanashi, Japan
Huayan Zhang
Tiangong University, China
Gaoyang Shan
Ajou University, Korea

Supported by

Ajou University
Tiangong University
Tianjin International Joint Research and Development Center of Autonomous Intelligence Technology and Systems

Schedule

14:00 – 14:40

Invited Talk

Prof. Jianming Wang (Director, Tianjin International Joint Research and Development Center of Autonomous Intelligence Technology and Systems)

14:40 – 15:00

Label Propagation Algorithm Based on Topological Potential

Wang Guocheng (Nanjing University of Aeronautics and Astronautics) and Xia Zhengyou (Nanjing University of Aeronautics and Astronautics)

15:00 – 15:20

Coffee Break

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15:20 – 15:40

LBNet: A Model for Judicial Reading Comprehension

Hao Liu (Chinese Academy of Sciences University) and Jungang Xu (Chinese Academy of Sciences University)

15:40 – 16:00

Deep Semantic Hashing for Large-scale Image Retrieval

Yang Yulin (Tiangong University), Jin Rize (Tiangong University) and Xu Cai (University of Yamanashi)

Paper Submission

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.

Submission

26 June, 2020 extended

Acceptance

31 July, 2020 extended

Registration

10, September, 2020 extended

Camera-Ready

TBA

Camera Ready Instruction

Please be informed that the deadline for submitting the camera-ready paper is 15 August, 2020. Note that this is a hard deadline and cannot be extended, i.e., late submission will not be considered for the inclusion into the proceedings.

Step 1

Format your paper according to the LNCS template and generate the corresponding PDF file of your manuscript GUIDELINES The length of papers is limited to 15 LNCS pages, including all text, figures, references and appendices.

Step 2

Complete the attached file contact.zip You should fill in the surnames of all authors, first names of all authors, contact author’s name and mailing address as well as the contact author’s email in the attached file contact.txt. Once data processing has been finished, Springer shall contact the corresponding authors and ask him/her to check his/her papers.

Step 3

Complete the attached copyright form . The corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper . Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Note that (1) we do not accept digital signatures, so please make sure that all forms have been signed in ink; (2) one author may sign on behalf of all the authors of a particular paper; (3) scan the completed copyright form in electronic format (in PDF) and rename it to be DEEPLUDA_XXX_cr.pdf where XXX is your paper ID.

Step 4

Create a folder named DEEPLUDA_XXX, where XXX is your paper ID.

Step 5

Place the following files in the folder DEEPLUDA_XXX (created from Step 4):

the paper source files. Note that you should include all the source files, e.g., if you are using Latex, then you should include LaTeX2e files for the text and PS/EPS or PDF/JPG files for all figures, as well as the Final DVI file.

the PDF file (from Step 1)

the contact.txt file (from Step 2)

the copyright form file (from Step 3)

Step 6

Zip up the folder from Step 5 and call it DEEPLUDA_XXX.zip.

Step 7

Send the zip file DEEPLUDA_XXX.zip (from Step 6) to pjy2018@tjpu.edu.cn

Accepted Papers

  1. Label Propagation Algorithm Based on Topological Potential
    Authors: Wang Guocheng and Xia Zhengyou

  2. Graph Attention-Convolution-Attention Networks for Traffic Forecasting
    Authors: Sikai Zhang, Hong Zheng, Jiamou Liu and Song Yang

  3. LBNet: A Model for Judicial Reading Comprehension
    Authors: Hao Liu and Jungang Xu

  4. A survey on Dimensionality Reduction Techniques and Clustering Methods
    Authors: Jayashree and Shivaprakash T

  5. Deep Semantic Hashing for Large-scale Image Retrieval
    Authors: Yang Yulin, Jin Rize and Xu Cai