Prof. XU, Jianliang
Prof. XU, Jianliang

徐建良教授
BEng, PhD
Head and Professor, Department of Computer Science
https://www.comp.hkbu.edu.hk/~xujl
 

About

Prof. Xu received his BEng degree in computer science and engineering from Zhejiang University, Hangzhou, China and his PhD degree in computer science from Hong Kong University of Science and Technology. His research interests include big data management, blockchain, mobile/pervasive computing, and data security and privacy. He has published more than 250 technical articles in refereed journals and conferences including SIGMOD, PVLDB, ICDE, INFOCOM, TODS, TKDE, TPDS, and VLDBJ. His research has been funded by RGC, ITF, and NSFC, with a total amount exceeding HK$30 million. 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 served as an Associate Editor for IEEE Transactions on Knowledge and Data Engineering (TKDE) and Proceedings of VLDB Endowment (PVLDB).


Research Interests

  • Big Data Management
  • Blockchain
  • Mobile/Pervasive Computing
  • Data Security and Privacy

Selected Publications

  • T. N. Chan, P. L. Ip, L. H. U, B. Choi, and J. Xu. "SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization." Proc. the 47th International Conference on Very Large Data Bases (PVLDB '22), Sydney, Australia, 2022.
  • 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.
  • 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)
  • 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.
  • Y. Huang, J. Tang, Q. Cong, A. Lim, and J. Xu. "Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives," 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.
  • C. Xu, J. Xu, H. Hu, and M. H. Au. "When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach." Proc. of the ACM SIGMOD International Conference on Management of Data (SIGMOD '18), Houston, TX, June 2018.