Workshop Topics

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 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:

  • Data Cleaning, Analysis Algorithms
  • Storage System and Data Management
  • Privacy Preservation and Security Issues in Big Data
  • Data Compression
  • Machine Learning
  • Deep learning with big or small data
  • Incorporating explicit prior knowledge in deep learning
  • 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
Qiang Liu
Beijing Institute of Petrochemical Technology, China
Rize Jin
Tiangong University, China

Program Chair

Joon-Young Paik
Tiangong University, China

Committee Members

Liangfu Lu
Tianjin University, China
Yunbo Rao
University of Electronic Science and Technology of China, China
Se Jin Kwon
Kangwon National University, Korea
Caie Xu
Zhejiang University of Science & Technology, China
Ziyang Liu
Kyonggi University, Korea
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, China
Gaoyang Shan
Ajou University, Korea
Xun Luo
Tianjin University of Technology, China
Guanghao Jin
Beijing Polytechnic University, China
Jing Yang
Guangdong University of Foreign Studies, China
Yanji Piao
Yanbian University, China
Botao Guo
Chongqing Zhongke Automotive Software Innovation Center, China
Zhen Zhang
Tiangong University, China
Qianjin Guo
Beijing Institute of Petrochemical Technology, China

Supported by

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

Schedule

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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=deepluda2022

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

July 14, 2022

Acceptance

July 21, 2022

Registration

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Camera-Ready

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Camera Ready Instruction

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@tiangong.edu.cn

Accepted Papers

Submission evaluation: Every paper will be evaluated by at least three reviewers, and the review process is single-blinded.

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