Big Data & AI 2020: The 8th International Workshop on Big Data & AI


Big Data and AI has many challenges for storing, searching, sharing, visualizing, analyzing, and learning. Powered by AI, deep analysis of the Big Data would bring great benefits to our societies. The Big Data & AI 2020 workshop is to promote the research in this emerging area of Big Data-intensive computing, learning, algorithms, networks, systems, and applications. Big Data & AI 2020 aims to provide a leading forum for sharing and exchanging experiences, new ideas, and research results on broad topics of Big Data Research, Development, and Applications. It solicits high quality papers that illustrate novel Big Data, deep learning, machine learning, security and privacy, etc.

The workshop invites you to submit original research papers in the following topics, but not limited to:

    Big Data Algorithms
    Artificial Intelligence
    Social Media Data Analytics
    IoT Data Analytics
    Fog Data Computing/Edge Clouds
    Blockchain Data
    Healthcare Data Analytics and Applications
    Data Management
    Cloud Data and Analytics
    Data Compression
    Image Information Extraction
    Biomedical Signal Processing
    Image Information Extraction
    Image Information Extraction
    Big Data for Security
    Deep Learning Algorithms
    Image Information Extraction
    Data Security and Privacy
    Image Information Extraction
    Cooperative Work for Big Data
    Data Mining in Artificial Intelligence
    Machine Learning
    Big Data Fusion
    Human Consciousness and Artificial Intelligence
    Big Data Platform Construction and Application
    Large Data Technologies
    Models and Algorithms
    Graph Learning
    Scalable/Parallel/Distributed Algorithms



Workshop Chair

Weiguo Gong, Chongqing University of Posts and Telecommunications, China
Mingsheng Shang, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China


Technical Program Committee

Jian Guo - Harvard University, USA
Shiyong Lu - Wayne State University, USA
Ioan Raicu - Illinois Institute of Technology, USA
Mike Wilde - University of Chicago, USA
Chen Peng - Google Inc. USA
Chenghui Cai - Opera Solutions LLC, USA
Cui Lin - Hitachi Data System, USA
Zhangxin Lin - Texas Tech University, USA
Dou Shen - Baidu Inc. China
Jingjin Xu - Huawei Corporation, China
Shicong Feng - MiningLamp, China
Jianfeng Zhan - Chinese Academy of Science
Wenjun Wu - Beihang University, China
Jiantong Cao - Beijing University of Posts and Telecommunications, China
Huihua Yang - Beijing University of Posts and Telecommunications, China
Lin Zhang - Beijing University of Posts and Telecommunications, China
Wenhong Tian - University of Electronic Science and Technology of China
Ruini Xue - University of Electronic Science and Technology of China


Submissions:

EDAS Submission link https://edas.info/N26999 or login to http://edas.info/ by selecting “2020 Big Data & AI".

Product

Electronic submission to Program Chair at Papers@cyberc.org with title of “Big Data & AI 2020 Submission” is also accepted. Please DO NOT submit both ways.

Manuscript Guidelines:

All submitted manuscripts should be prepared as technical papers and may not exceed 8 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (print area of 6-1/2 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space between them, single-spaced 10-point Times fully justified text). For more information please see ftp://pubftp.computer.org/Press/Outgoing/proceedings/ . Submissions not conforming to these guidelines may be returned without review. The submitted manuscripts can be prepared in Word, or Latex using the IEEE templates, but authors should finally submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English.

Manuscript submission procedure is available over the Web at http://edas.info/ . We encourage you to use EDAS online submission by selecting “2020 Cybersecurity”. If you have troubles in using the Web submission, you can also submit your paper to papers@cyberc.org or contact us. Electronic submissions must be in the form of a readable PDF file.

Submitted manuscripts have to present the original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered.

Paper Acceptance:

Manuscripts should present the current research in the areas identified in the call for papers. All submitted manuscripts will be reviewed by experts in the fields and will be judged from the aspects of problem significance, contributions, originality, correctness, technical strength, quality of presentation, and relevance to the conference attendees. Papers will be accepted with Regular Papers and Short Papers with maximal 8 pages and 4 pages in the final version respectively.

Publication:

All accepted and presented papers will be equally published in the CyberC 2020 Proceeding.