Senmao Qi

According to our database, Senmao Qi authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate.

Senmao Qi, Yifei Zou, Peng Li, Ziyi Lin, Xiuzhen Cheng, Dongxiao Yu

CoRR, April, 2025

Machine-Learning-Based Performance Prediction for CDN Cache Groups in Meta Computing.

Senmao Qi, Xulong Wang, Yifei Zou, Yuan Yuan, Yihong Ling, Guangzheng Lin, Ruomei Liu, Yijun Li, Dongxiao Yu

IEEE Internet Things J., 2025

2024

Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search.

Tong Zhou, Erli Lyu, Guangdu Cen, Ziqi Zha, Senmao Qi, Jiaole Wang, Max Q.-H. Meng

IEEE Robotics Autom. Lett., July, 2024

BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing.

Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Peng Li, Dongxiao Yu

J. Syst. Archit., 2024

Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning.

Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Zhenzhen Xie, Peng Li, Xiuzhen Cheng

Big Data Min. Anal., 2024

Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning.

Yifei Zou, Senmao Qi, Yuan Yuan, Dawei Wang, Shikun Shen, Libing Wu, Shaoyong Guo, Dongxiao Yu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation.

Hao Ma, Senmao Qi, Jiayue Yao, Yuan Yuan, Yifei Zou, Dongxiao Yu

Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024

Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers.

Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Peng Li, Dongxiao Yu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

Minimally-intrusive Navigation in Dense Crowds with Integrated Macro and Micro-level Dynamics.

Tong Zhou, Senmao Qi, Guangdu Cen, Ziqi Zha, Erli Lyu, Jiaole Wang, Max Q.-H. Meng

CoRR, 2023

2021

Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow.

Tong Zhou, Senmao Qi, Erli Lyu, Guangdu Cen, Jiaole Wang, Max Q.-H. Meng

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021