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Publications

2023

• Knowledge-refined Denoising Network for Robust Recommendation

  Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu and Yunjun Gao.

  The 46th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR’ 23. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• Finding Materialized Models for Model Reuse

  Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du and Yunjun Gao.

  IEEE Transactions on Knowledge and Data Engineering, TKDE’ 23.

  [Paper] [Code&data] [Slides] [BibTex]

• LDPTrace: Locally Differentially Private Trajectory Synthesis

  Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng and Yunjun Gao.

  In Proceedings of the 49th International Conference on Very Large Data Bases, VLDB’ 23. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• 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.

  International World Wide Web Conference, WebConf’ 23. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• 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.

  The 39th IEEE International Conference on Data Engineering, ICDE’ 23. Industrial Paper.

  [Paper] [Code&data] [Slides] [BibTex]

2022

• Spatio-Temporal Trajectory Similarity Learning in Road Networks

  Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao and Christian S. Jensen.

  The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’ 22. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation

  Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng and Yunjun Gao.

  The 45th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR’ 22. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• Self-Guided Learning to Denoise for Robust Recommendation

  Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang and Baihua Zheng.

  The 45th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR’ 22. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• 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, TKDE’ 22.

  [Paper] [Code&data] [Slides] [BibTex]

2021

• E2​DTC: An End to End Deep Trajectory Clustering Framework via Self-Training.

  Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao and Gang Chen.

  The 37th IEEE International Conference on Data Engineering, ICDE’ 21. Full Research Paper.

  [Paper] [Code&data] [Slides] [BibTex]

• MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data.

  Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du and Yunjun Gao.

  The 47th International Conference on Very Large Data Bases, VLDB’ 21. Scalable Data Science Paper.

  [Paper] [Code&data] [Slides] [BibTex]