Multiview Vehicle Tracking by Graph Matching Model. - Minye Wu; Guli Zhang; Ning Bi; Ling Xie; Yuanquan Hu; Zhiru Shi (CVPR Workshops, 2019)

Heterogeneous Mean-Field Multi-Agent Reinforcement Learning for Communication Routing Selection in SAGI-Net. - Hengxi Zhang; Huaze Tang; Yuanquan Hu; Xiaoli Wei; Chenye Wu; Wenbo Ding 001; Xiao-Ping Zhang 002 (VTC Fall, 2022)

An Ensemble Learning Method for Volunteer Retention Prediction. - Fanfan Zhao; Yuanquan Hu; Wai Kin Victor Chan (MLSP, 2023)

Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning. - Hengxi Zhang; Zhendong Shi; Yuanquan Hu; Wenbo Ding 001; Ercan E. Kuruoglu; Xiao-Ping Zhang 002 (CoRR, 2023)

Graphon mean-field control for cooperative multi-agent reinforcement learning. - Yuanquan Hu; Xiaoli Wei; Junji Yan; Hengxi Zhang (J. Frankl. Inst., 2023)

M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space. - Huaze Tang; Yuanquan Hu; Fanfan Zhao; Junji Yan; Ting Dong; Wenbo Ding 001 (ICASSP, 2024)

Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning. - Hengxi Zhang; Zhendong Shi; Yuanquan Hu; Wenbo Ding 001; Ercan E. Kuruoglu; Xiao-Ping Zhang 002 (ICASSP, 2024)

P3: Prompts Promote Prompting. - Xinyu Zhang 019; Yuanquan Hu; Fangchao Liu; Zhicheng Dou (ACL (Findings), 2025)