Publications

2023

  1. SIGIR
    Knowledge-refined Denoising Network for Robust Recommendation
    Xinjun Zhu, Yuntao Du, Lu Chen, Baihua Zheng, and Yunjun Gao
    In The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
    arXiv Code
  2. 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
    arXiv
  3. VLDB23_LDPTrace.jpg
    LDPTrace: Locally Differentially Private Trajectory Synthesis
    Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, and Yunjun Gao
    Proc. VLDB Endow., 2023
    arXiv Blog Code
  4. WWW23-ECF.jpg
    Towards Explainable Collaborative Filtering with Taste Clusters Learning
    Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, and Xing Xie
    In Proceedings of the ACM Web Conference, 2023
    arXiv Code
  5. 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
    PDF

2022

  1. SIGKDD
    Spatio-Temporal Trajectory Similarity Learning in Road Networks
    Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, and Christian S. Jensen
    In The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, 2022
    arXiv Code
  2. SIGIR22_HAKG.jpg
    HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
    Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, and Yunjun Gao
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
    arXiv Code
  3. SIGIR
    Self-Guided Learning to Denoise for Robust Recommendation
    Yunjun Gao, Yuntao 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
    arXiv Code
  4. 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
    arXiv Code

2021

  1. ICDE
    E^2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
    Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, and Gang Chen
    In 37th IEEE International Conference on Data Engineering, 2021
    PDF Code
  2. VLDB
    MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
    Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, and Yunjun Gao
    Proc. VLDB Endow., 2021
    PDF