Publications

2024

    2023

    1. VLDB
      Real-time Workload Pattern Analysis for Large-scale Cloud Databases
      Jiaqi Wang, Tianyi Li, Anni Wang, and 7 more authors
      In Proceedings of the 47th International Conference on Very Large Data Bases (VLDB), 2023
      PDF
    2. SIGIR23_KRDN.jpg
      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 (SIGIR), 2023
      PDF Code
    3. TKDE
      Finding Materialized Models for Model Reuse
      Minjun Zhao, Lu Chen, Keyu Yang, and 2 more authors
      IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
    4. VLDB23_LDPTrace.jpg
      LDPTrace:: Locally Differentially Private Trajectory Synthesis
      Yuntao Du, Yujia Hu, Zhikun Zhang, and 4 more authors
      Proc. VLDB Endow. (VLDB), 2023
    5. 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 (WWW), 2023
    6. 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 (ICDE), 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 (SIGKDD), 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 (SIGIR), 2022
      PDF Code
    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 (SIGIR), 2022
    4. TKDE22_MetaKG.jpg
      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 (TKDE), 2022
      PDF Code

    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 (ICDE), 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. (VLDB), 2021

    2020