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Jianliang Xu
 
Head & Chair Professor
 
Department of Computer Science (Map)
Hong Kong Baptist University
Kowloon Tong, Hong Kong
 
 
Email:

 
Jianliang Xu is a Chair Professor and the Head of the Computer Science Department at Hong Kong Baptist University. He received his PhD degree in Computer Science from Hong Kong University of Science and Technology in 2002, and his BEng degree in Computer Science and Engineering from Zhejiang University in 1998. Prior to his undergraduate study, he completed his secondary education from Suzhou High School from 1991 to 1994. Prof. Xu has been a visiting scholar at Pennsylvania State University, University Park (Summer 2005) and a senior visiting fellow at Fudan University (Winter 2009). He serves as a director of the Blockchain and FinTech Lab and leads the Database Research Group at Hong Kong Baptist University.

With an H-index of 63, Prof. Xu has published more than 250 refereed articles in top-tier international journals and conference proceedings, such as SIGMOD, VLDB, KDD, ICDE, TKDE, and VLDBJ. He has been invited to serve as Program Committee Co-Chair and Vice/Area Chair for several reputable international conferences, including ICDCS '12, WAIM '16, APWeb-WAIM '18, MDM '19, NDBC '20, and ICDE '24. He was a recipient of HKBU President's Award for Outstanding Performance in Scholarly Work (2017), HKBU President's Award for Outstanding Performance in Teaching (2018), and VLDB Distinguished Reviewer Award (2019). He is a senior member of IEEE and CCF, and a member of IEEE Technical Committee on Data Engineering and CCF Technical Committee on Databases. He has been an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Big Data (TBD), IEEE Transactions on Parallel and Distributed Systems (TPDS), Proceedings of VLDB Endowment (PVLDB), and Springer Journal of Data Science and Engineering (DSE).
 
Looking for PhD students and Postdoc/senior researchers; please email me your CV and supporting documents
Current Research Interests:
      Databases, Blockchain, Applied AI & LLM, Data Security and Privacy
 
Recent News:
Recent Activities:
Student Achievements:
Recent Research Grants (more):
  • VecSim: Vector Similarity Search in High-Dimensional Spaces (PI, RGC/GRF, 12202024, 2025-2027)
  • FedGraph: Federated Graph Management and Querying: Subgraphs, Keywords, and Privacy (Co-PI, RGC/YCRG, C2003-23Y, 2024-2027)
  • ChatSRO: Integrating ChatGPT with Search Engine, Recommender System and Online Advertising to Enhance User Experience on Online Service Platforms (Co-PI, RGC/RIF, R1015-23, 2024-2027)
  • LIMBO: When Learned Index Meets Blockchain: Design, Algorithms, and Performance Evaluation (PI, RGC/GRF, 12200022, 2023-2025)
  • USHARE: User-controlled Secure Data Sharing and Analytics with Blockchain and Trusted Computing Technologies (PI, RGC/CRF, C2004-21GF, 2022-2025)
  • FEDA: Federated Data Analytics using Hardware Enclaves (PI, RGC/GRF, HKBU12202221, 2022-2024)
  • SlimChain: Stateless Blockchains for Scalable Transaction Processing (PI, RGC/GRF, HKBU12201520, 2021-2023)
  • vChain+: Towards Integrity-Assured Search in Scalable Blockchain Systems (PI, RGC/GRF, HKBU12200819, 2020-2022)
Selected Recent Publications (Complete List, DBLP, Google Scholar):
  • C. Zhang, C. Xu, H. Hu, and J. Xu. "COLE: A Column-based Learned Storage for Blockchain Systems." Proc. of the 22nd USENIX Conference on File and Storage Technologies (FAST '24), Santa Clara, CA, USA, 2024.
  • X. Zhang, Q. Wang, C. Xu, Y. Peng, and J. Xu. "FedKNN: Secure Federated k-Nearest Neighbor Search." Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD '24), Santiago, Chile, 2024.
  • Y. Peng, B. Choi, T. N. Chan, J. Yang, and J. Xu. "Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases." Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD '23), Seattle, WA, USA, 2023.
  • T. N. Chan, P. L. Ip, L. H. U, B. Choi, and J. Xu. "SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization." Proc. the 47th International Conference on Very Large Data Bases (PVLDB '22), Sydney, Australia, 2022. [demo video] [project page]
  • X. Liao*, Q. Liu*, J. Jiang, X. Huang, J. Xu, and B. Choi. "Distributed D-core Decomposition over Large Directed Graphs." Proc. the 47th International Conference on Very Large Data Bases (PVLDB '22), Sydney, Australia, 2022. (*equal contribution)
  • T. N. Chan, L. H. U, B. Choi, and J. Xu. "SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization." Proc. the ACM SIGMOD International Conference on Management of Data (SIGMOD '22), Philadelphia, USA, June 2022. [demo video] [project page]
  • H. Wang, C. Xu, C. Zhang, J. Xu, Z. Peng, and J. Pei. "vChain+: Optimizing Verifiable Blockchain Boolean Range Queries." Proc. the 38th IEEE International Conference on Data Engineering (ICDE '22), Kuala Lumpur, Malaysia, May 2022. [pdf/code/cite]
  • C. Xu*, C. Zhang*, J. Xu, and J. Pei. "SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing." Proc. the 47th International Conference on Very Large Data Bases (PVLDB '21), Copenhagen, Denmark, 2021. (*equal contribution) [eprint] [code]
  • Q. Liu, X. Zhu, X. Huang, and J. Xu. "Local Algorithms for Distance-generalized Core Decomposition over Large Dynamic Graphs." Proc. the 47th International Conference on Very Large Data Bases (PVLDB '21), Copenhagen, Denmark, 2021.
  • Z. Peng, C. Xu, H. Wang, J. Huang, J. Xu, and X. Chu. "P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics," Proc. the ACM SIGMOD International Conference on Management of Data (SIGMOD '21), Xi'an, China, June 2021.
  • Q. Liu, M. Zhao, X. Huang, J. Xu, and Y. Gao. "Truss-based Community Search over Large Directed Graphs." Proc. the ACM SIGMOD International Conference on Management of Data (SIGMOD '20), Portland, OR, USA, June 2020.
  • C. Xu, C. Zhang, and J. Xu. "vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases." Proc. the ACM SIGMOD International Conference on Management of Data (SIGMOD '19), Amsterdam, Netherlands, 2019. [eprint] [code]