Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow. - Tong Zhou 005; Senmao Qi; Erli Lyu; Guangdu Cen; Jiaole Wang; Max Q.-H. Meng (ROBIO, 2021)

Minimally-intrusive Navigation in Dense Crowds with Integrated Macro and Micro-level Dynamics. - Tong Zhou 005; Senmao Qi; Guangdu Cen; Ziqi Zha; Erli Lyu; Jiaole Wang; Max Q.-H. Meng (CoRR, 2023)

Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers. - Senmao Qi; Hao Ma; Yifei Zou; Yuan Yuan 014; Peng Li 017; Dongxiao Yu (ICDCS, 2024)

Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation. - Hao Ma; Senmao Qi; Jiayue Yao; Yuan Yuan 014; Yifei Zou; Dongxiao Yu (IDS, 2024)

Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning. - Yifei Zou; Senmao Qi; Yuan Yuan 014; Dawei Wang 007; Shikun Shen; Libing Wu; Shaoyong Guo; Dongxiao Yu (PDCAT, 2024)

Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning. - Senmao Qi; Hao Ma; Yifei Zou; Yuan Yuan 040; Zhenzhen Xie; Peng Li 017; Xiuzhen Cheng 001 (Big Data Min. Anal., 2024)

BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing. - Senmao Qi; Hao Ma; Yifei Zou; Yuan Yuan 014; Peng Li 017; Dongxiao Yu (J. Syst. Archit., 2024)

Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search. - Tong Zhou 005; Erli Lyu; Guangdu Cen; Ziqi Zha; Senmao Qi; Jiaole Wang; Max Q.-H. Meng (IEEE Robotics Autom. Lett., 2024)

Machine-Learning-Based Performance Prediction for CDN Cache Groups in Meta Computing. - Senmao Qi; Xulong Wang; Yifei Zou; Yuan Yuan 040; Yihong Ling; Guangzheng Lin; Ruomei Liu; Yijun Li; Dongxiao Yu (IEEE Internet Things J., 2025)

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate. - Senmao Qi; Yifei Zou; Peng Li 017; Ziyi Lin; Xiuzhen Cheng 001; Dongxiao Yu (CoRR, 2025)