Publications
[ACM TKDD 2024] Fangyuan Luo, Jun Wu, Tao Wang. Discrete Listwise Content-Aware Recommendation. ACM Transactions on Knowledge Discovery from Data, 2023. (CCF-B Journal)
[SIGIR 2023] Fangyuan Luo, Jun Wu. User-Dependent Learning to Debias for Recommendation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF-A Conference)
[ACM TOIS 2023] Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li. LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. ACM Transactions on Information Systems, 2023. (CCF-A Journal)
[IJCAI 2022] Fangyuan Luo, Jun Wu, Tao Wang. Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. The International Joint Conferences on Artificial Intelligence (IJCAI), 2022. (CCF-A Conference)
[SIGIR 2022] Shuang Tang, Fangyuan Luo, Jun Wu. Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF-A Conference)
[AAAI 2021] Fangyuan Luo, Jun Wu, Haishuai Wang. Semi-Discrete Social Recommendation (Student Abstract). The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF-A Conference)
[DASFAA 2021] Junheng Huang, Fangyuan Luo, Jun Wu. Semi-supervised Factorization Machines for Review-Aware Recommendation. The 26th International Conference on Database Systems for Advanced Applications (DASFAA), 2021. (CCF-B Conference)
[IEEE IS 2020] Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang. Semi-discrete Matrix Factorization. IEEE Intelligent Systems, 2020. (CAA-B Journal)