Jieming SHI

Dr. Jieming SHI

Assistant Professor
Department of Computing
The Hong Kong Polytechnic University

I am looking for highly self-motivated PhD students, PostDocs, and research assistants. If you are interested in working with me, please send me your CV. Thanks! (All CVs are carefully evaluated. Only matched candidates will be responded.)

Some position information here, and information about PolyU COMP.

Research Interests

Big data analytics, databases, machine learning -- especially large-scale graph algorithms, graph learning, GPU computing, and heterogeneous data management.

Email:


Short Bio

I am an assistant professor at the Department of Computing, The Hong Kong Polytechnic University (PolyU). I obtained a PhD in Computer Science from The University of Hong Kong (HKU), advised by Prof. Nikos Mamoulis and Prof. David W. Cheung, and did a postdoc at School of Computing, National University of Singapore (NUS), advised by Prof. Xiaokui XIAO. I obtained bachelor degree from Nanjing University.

Selected Publications (Full list, Google scholar, DBLP)
[ # Corresponding Author, Supervising Student, Collaborating Student, * Equal Contribution]


Professional Service

I am/was a program committee member for the following conferences:
  • PVLDB Volume 16 (VLDB), 2023
  • ACM SIGKDDD Conference on Knowledge Discovery and Data Mining (KDD), 2022
  • IEEE International Conference on Data Engineering (ICDE), 2022 (research and demo tracks)
  • The Web Conference (WWW), 2022
  • The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022
  • International Joint Conference on Artificial Intelligence (IJCAI), 2020, 2021, 2022
  • ACM International Conference on Information and Knowledge Management (CIKM), 2019, 2021
  • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020, 2021, 2022
  • The 5th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM), 2021
  • The International Symposium on Spatial and Temporal Databases (SSTD), 2021 (Session Chair)
  • IEEE International Conference on Knowledge Graph (ICKG), 2021
  • IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019, 2020
  • International Conference on Web Information Systems Engineering (WISE), 2019

I am/was invited reviewers for the following journals:
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • The International Journal of Very Large Data Bases (VLDBJ)
  • World Wide Web: Internet and Web Information Systems (WWWJ)
  • IEEE Transactions on Big Data (TBD)
  • Information Sciences

Teaching

  • COMP5434, Big Data Computing, Spring 2022 (Two sessions)
  • COMP6434, Big Data Analytics and Artificial Intelligence, Spring 2021
  • COMP3131, Business and Information Systems Strategies, Fall 2020

Research Experiences


Useful Information


Acknowledgement

Our research is supported generously by The Hong Kong Polytechnic University, Hong Kong RGC, Tencent Technology Limited, etc.