Publications

Data Privacy

  1. VLDB23_LDPTrace.jpg
    LDPTrace: Locally Differentially Private Trajectory Synthesis
    Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu ChenBaihua Zheng, and Yunjun Gao
    Proc. VLDB Endow., 2023
  2. ICDE
    FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration
    Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, and Yunjun Gao
    In 39th IEEE International Conference on Data Engineering, 2023

Recommender Systems

  1. SIGIR
    Knowledge-refined Denoising Network for Robust Recommendation
    Xinjun Zhu, Yuntao DuLu ChenBaihua Zheng, and Yunjun Gao
    In The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
  2. WWW23-ECF.jpg
    Towards Explainable Collaborative Filtering with Taste Clusters Learning
    Yuntao DuJianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu ChenYunjun Gao, and Xing Xie
    In Proceedings of the ACM Web Conference, 2023
  3. SIGIR22_HAKG.jpg
    HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
    Yuntao Du, Xinjun Zhu, Lu ChenBaihua Zheng, and Yunjun Gao
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
  4. SIGIR
    Self-Guided Learning to Denoise for Robust Recommendation
    Yunjun GaoYuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, and Baihua Zheng
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
  5. TKDE
    MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
    Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, and Yunjun Gao
    IEEE Transactions on Knowledge and Data Engineering, 2022

Spatio-temporal Data Mining

  1. SIGKDD
    Spatio-Temporal Trajectory Similarity Learning in Road Networks
    Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu ChenYunjun Gao, and Christian S. Jensen
    In The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, 2022
  2. ICDE
    E^2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
    Ziquan Fang, Yuntao DuLu Chen, Yujia Hu, Yunjun Gao, and Gang Chen
    In 37th IEEE International Conference on Data Engineering, 2021
  3. VLDB
    MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
    Ziquan Fang, Lu Pan, Lu ChenYuntao Du, and Yunjun Gao
    Proc. VLDB Endow., 2021

Misc

  1. TKDE
    Finding Materialized Models for Model Reuse
    Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, and Yunjun Gao
    IEEE Transactions on Knowledge and Data Engineering, 2023