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!

Research Interests

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


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.


  • Aug 20th, 2021. Our work with NUS, NTU, HBKU, wins VLDB 2021 Best Research Paper Award!

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

Group Members

  • Yiran LI, PhD student (Fall 2020 - ), Bachelor from Nanjing University, Co-supervisor: Prof. Qing LI
  • Ziang ZHOU, PhD student (Fall 2020 - ), Bachelor from Fudan University, Co-supervisor: Prof. Qing LI

Professional Service

I am/was a program committee member for the following conferences:
  • IEEE International Conference on Data Engineering (ICDE), 2022
  • The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022
  • International Joint Conference on Artificial Intelligence (IJCAI), 2020, 2021
  • ACM International Conference on Information and Knowledge Management (CIKM), 2019, 2021
  • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020, 2021
  • 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
  • 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)
  • World Wide Web: Internet and Web Information Systems (WWWJ)

Research Experiences

Useful Information