Lyu Xu (徐葎)

Lyu Xu (徐葎)

Research Fellow

Lyu Xu

I am currently a Research Fellow at Nanyang Technological University (NTU), and I am very honored to work with Prof. Qichen Wang. Prior to joining NTU, I was a postdoc at Hong Kong Polytechnic University, working with Prof. Haibo Hu and Prof. Yifeng Zheng. I received my PhD degree from the Department of Computer Science at Hong Kong Baptist University (HKBU), under the supervision of Prof. Byron Choi and Prof. Jianliang Xu. Before that, I received my Master’s Degree in Computer Science and Engineering at Sun Yat-sen University, and my Bachelor’s Degree in Computer Science and Engineering at Southeast University. I was also a member of the HKBU Database Group.

 

🔍 Research Interest

Database, Graph Data Management, Privacy-Preserving Computing, and Information Security

 

📝 Publications

# indicates corresponding author,  __ indicates student collaborator mentored by me

  • Hitchhiking on Inherent Randomness: Diffusion-based Graph Generation under Differential Privacy. (accepted)
    Renxuan Hou, Qingqing Ye, Lyu Xu, Xun Ran, Haibo Hu
    ACM Conference on Computer and Communications Security (CCS), November 2026.

  • Efficient Densest Flow Queries in Transaction Flow Networks.
    Jiaxin Jiang, Yunxiang Zhao, Lyu Xu, Byron Choi, Bingsheng He, Shixuan Sun, Jia Chen
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026.

  • ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks.
    Yunxiang Zhao, Lyu Xu#, Jiaxin Jiang, Byron Choi, Jianliang Xu, Bingsheng He
    ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2026.

  • Bursting Flow Query on Large Temporal Flow Networks.
    Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu, Bingsheng He
    ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2025.

  • ChatGraph: Chat with Your Graphs.
    Yun Peng, Sen Lin, Qian Chen, Lyu Xu, Xiaojun Ren, Yafei Li and Jianliang Xu
    IEEE International Conference on Data Engineering (ICDE Demo), May 2024.

  • A Framework for Privacy Preserving Localized Graph Pattern Query Processing.
    Lyu Xu, Byron Choi, Yun Peng, Jianliang Xu and Sourav S. Bhowmick
    ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2023.

  • Privacy Preserving Strong Simulation Queries on Large Graphs.
    Lyu Xu, Jiaxin Jiang, Byron Choi, Jianliang Xu and Sourav S. Bhowmick
    IEEE International Conference on Data Engineering (ICDE), April 2021.

  • PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks.
    Jiaxin Jiang, Xin Huang, Byron Choi, Jianliang Xu, Sourav S. Bhowmick and Lyu Xu
    IEEE International Conference on Data Engineering (ICDE), April 2020.