Shuyue Wei

According to our database, Shuyue Wei authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient shapley-based data valuation for federated trajectories.

Yuxiang Wang, Shuyuan Li, Yongxin Tong, Shuyue Wei, Zimu Zhou

Frontiers Comput. Sci., September, 2026

GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning.

Shuyue Wei, Wantong Chen, Tongyu Wei, Chen Gong, Yongxin Tong, Lizhen Cui

CoRR, January, 2026

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting.

Feng Wang, Tianxiang Chen, Shuyue Wei, Qian Chu, Yi Zhang, Yifan Sun, Zhiming Zheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Federated reasoning LLMs: a survey.

Shuyue Wei, Yongxin Tong, Zimu Zhou, Yi Xu, Jingkai Gao, Tongyu Wei, Tianran He, Weifeng Lv

Frontiers Comput. Sci., December, 2025

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-Temporal Graph Learning Method for Traffic Flow Forecasting.

Feng Wang, Tianlong Chen, Shuyue Wei, Qian Chu, Yi Zhang, Yifan Sun, Zhiming Zheng

CoRR, November, 2025

Ten Challenging Problems in Federated Foundation Models.

Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang

IEEE Trans. Knowl. Data Eng., July, 2025

Efficient Data Valuation Approximation in Federated Learning: A Sampling-Based Approach.

Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianran He, Yi Xu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

FedSM: A Practical Federated Shared Mobility System.

Shuyue Wei, Yuanyuan Zhang, Zimu Zhou, Tianlong Zhang, Ke Xu

Proc. VLDB Endow., August, 2024

FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction.

Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.

Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena.

Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

2020

Efficient and Fair Data Valuation for Horizontal Federated Learning.

Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Privacy preserving online matching on ridesharing platforms.

Yi Xu, Shuyue Wei, Yansheng Wang

Neurocomputing, 2020

2019

Profit Allocation for Federated Learning.

Tianshu Song, Yongxin Tong, Shuyue Wei

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019