Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Wenjun Wu 001; Xianglong Liu 001 (CoRR, 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Xini Yu; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (CoRR, 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Ruixiao Xu; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (ICLR, 2024)

Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval. - Jingqiao Xiu; Mengze Li 001; Wei Ji 008; Jingyuan Chen; Hanbin Zhao; Shin'ichi Satoh 001; Roger Zimmermann (ACM Multimedia, 2024)

Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation. - Jingqiao Xiu; Mengze Li 001; Zongxin Yang; Wei Ji 008; Yifang Yin; Roger Zimmermann (AAAI, 2025)

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Yuwei Zheng; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Bo An 001; Wenjun Wu 001; Xianglong Liu 001 (Neural Networks, 2025)

EgoTwin: Dreaming Body and View in First Person. - Jingqiao Xiu; Fangzhou Hong; Yicong Li; Mengze Li; Wentao Wang; Sirui Han; Liang Pan; Ziwei Liu (CoRR, 2025)