Profit Allocation for Federated Learning. - Tianshu Song; Yongxin Tong; Shuyue Wei 001 (IEEE BigData, 2019)

Privacy preserving online matching on ridesharing platforms. - Yi Xu 013; Shuyue Wei 001; Yansheng Wang (Neurocomputing, 2020)

Efficient and Fair Data Valuation for Horizontal Federated Learning. - Shuyue Wei 001; Yongxin Tong; Zimu Zhou; Tianshu Song (Federated Learning, 2020)

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. - Hao Cheng; Shuyue Wei 001; Lingyu Zhang 001; Zimu Zhou; Yongxin Tong (MDM, 2021)

Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. - Shuyue Wei 001; Yongxin Tong; Zimu Zhou; Qiaoyang Liu; Lulu Zhang; Yuxiang Zeng; Jieping Ye (ICDE, 2023)

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. - Linghua Yang; Wantong Chen; Xiaoxi He; Shuyue Wei 001; Yi Xu 013; Zimu Zhou; Yongxin Tong (KDD, 2024)

FedSM: A Practical Federated Shared Mobility System. - Shuyue Wei 001; Yuanyuan Zhang 013; Zimu Zhou; Tianlong Zhang; Ke Xu 001 (Proc. VLDB Endow., 2024)

Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach. - Shuyue Wei 001; Yongxin Tong; Zimu Zhou; Tianran He; Yi Xu 013 (ICDE, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen 023; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo 002; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Federated reasoning LLMs: a survey. - Shuyue Wei 001; Yongxin Tong; Zimu Zhou; Yi Xu 013; Jingkai Gao; Tongyu Wei; Tianran He; Weifeng Lv (Frontiers Comput. Sci., 2025)