In the big data era, with the enrichment of data collection and description measures, a wide array of data in various formats are collected much easier than before. It is significant to discover the knowledge hidden in the mass by comprehensive understanding and learning to realize the data intelligence, which can help human in various dimensions, such as intelligent decisions and predictive services. However, the volume, heterogeneous, low-quality and multimodal characteristics of the collected data pose great challenges to the design of knowledge discovery methods. Therefore, this workshop aims to provide a forum to present the state-of-the-art advancements on knowledge discovery for big data, which include related surveys, algorithms, platforms, systems and applications.

Call for Papers pdf

The topics include but not limited to:
  • Acquisition, transmission, storage, index and visualization for big data
  • Innovative methods for big data analytics
  • Multimodal data fusion
  • Cross-modal reasoning and retrieval
  • Domain adaption and transfer learning
  • Zero-shot and few-shot learning
  • Deep learning and reinforcement learning
  • Graph Learning and knowledge graphs
  • Natural language processing
  • Parallel, accelerated, and distributed algorithms and frameworks for big data
  • Security, privacy and trust in big data
  • Big data in Internet of Things
  • Methods for academic, traffic, medical, financial, social media and judicial big data
  • Other methods, models, architectures and applications related to big data


  • Full Paper Submission Due: Aug. 27, 2021
  • Authors Notification: Sept. 21, 2021
  • Camera-ready Submission: Oct. 01, 2021
  • Conference dates: Oct. 25-28, 2021.
  • Paper Submission

    Papers should be prepared in IEEE CS format within 6 pages. IEEE formatting information: ( link )

    Authors are invited to submit their original research work using IEEE CS Proceedings format via PICOM 2021 EDAS ( Ps: Log on the system and choose the Track of International Workshop on Knowledge Discovery for Big Data.

    All accepted papers will be published by IEEE (IEEE-DL and EI indexed) in Conference Proceedings.

    Selected papers will be invited to submit an extended version to Scientific Programming(SI: Scientific Programming for Multimodal Big Data)or Frontiers in Neurorobotics(SI: Privacy-preserving Deep Heterogeneous View Perception for Data Learning).


  • Organizing Chair
  • Bo Xu, Dalian University of Technology, China

  • Organizing Co-Chair
  • Liang Zhao, Dalian University of Technology, China

    Qingchen Zhang, Hainan University, China

    Haozhe Wang, University of Exeter, UK

  • Program Committee Chair
  • Fangming Zhong, Dalian University of Technology, China

    Xiaochen Li, University of Luxembourg, Luxembourg

    Yujia Zhu, University of Exeter, UK

    Shuo Yu, King Abdullah University of Science and Technology, SA

    Zhehuan Zhao, Dalian University of Technology,China

  • International Committee Chair
  • Shi Chen, Emporia State University, USA

    Yi Yang, Beihang University, China

    Yonglin Leng, Bohai University, China

  • Advisory Chair
  • Zhikui Chen, Dalian University of Technology, China


    Welcome to Calgary, a city rich with beautiful landscapes, picturesque skylines and urban vibrancy, the city has a dynamic array of experiences that allow both visitors and Calgarians endless opportunities for adventure and to live in the moment.
    Calgary was recently ranked the fifth most livable city in the world by the Economist Intelligence Unit

    Visit Calgary

    Get In Touch

  • Dr. Bo Xu
  • Dr. Fangming Zhong
  • Dr. Liang Zhao
  • Top