Publications

2023

  1. SIGIR
    Knowledge-refined Denoising Network for Robust Recommendation
    Xinjun Zhu, Yuntao Du, Lu Chen, and 2 more authors
    In The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
  2. TKDE
    Finding Materialized Models for Model Reuse
    Minjun Zhao, Lu Chen, Keyu Yang, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2023
  3. VLDB23_LDPTrace.jpg
    LDPTrace:: Locally Differentially Private Trajectory Synthesis
    Yuntao Du, Yujia Hu, Zhikun Zhang, and 4 more authors
    Proc. VLDB Endow., 2023
  4. WWW23-ECF.jpg
    Towards Explainable Collaborative Filtering with Taste Clusters Learning
    Yuntao Du, Jianxun Lian, Jing Yao, and 5 more authors
    In Proceedings of the ACM Web Conference, 2023
  5. ICDE
    FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration
    Zhihao Zeng, Yuntao Du, Ziquan Fang, and 5 more authors
    In 39th IEEE International Conference on Data Engineering, 2023

2022

  1. SIGKDD
    Spatio-Temporal Trajectory Similarity Learning in Road Networks
    Ziquan Fang, Yuntao Du, Xinjun Zhu, and 4 more authors
    In The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, 2022
  2. SIGIR22_HAKG.jpg
    HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
    Yuntao Du, Xinjun Zhu, Lu Chen, and 2 more authors
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
  3. SIGIR
    Self-Guided Learning to Denoise for Robust Recommendation
    Yunjun Gao, Yuntao Du, Yujia Hu, and 4 more authors
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
  4. TKDE
    MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
    Yuntao Du, Xinjun Zhu, Lu Chen, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2022

2021

  1. ICDE
    E^2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
    Ziquan Fang, Yuntao Du, Lu Chen, and 3 more authors
    In 37th IEEE International Conference on Data Engineering, 2021
  2. VLDB
    MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
    Ziquan Fang, Lu Pan, Lu Chen, and 2 more authors
    Proc. VLDB Endow., 2021