Senmao Qi

Orcid: 0009-0000-8048-2166

According to our database1, Senmao Qi authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Distributed Device-to-Device Communications in Dynamic Digital Twin Edge Networks.
IEEE Trans. Mob. Comput., June, 2026

LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.
CoRR, February, 2026

General Backdoor-Resilient Federated Learning via Multi-Armed Bandit-Based Knowledge Distillation.
IEEE Trans. Inf. Forensics Secur., 2026

2025
Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate.
CoRR, April, 2025

Machine-Learning-Based Performance Prediction for CDN Cache Groups in Meta Computing.
IEEE Internet Things J., 2025

2024
Towards High Efficient Long-Horizon Planning With Expert-Guided Motion-Encoding Tree Search.
IEEE Robotics Autom. Lett., July, 2024

BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing.
J. Syst. Archit., 2024

Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning.
Big Data Min. Anal., 2024

Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation.
Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024

Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers.
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.
CoRR, 2023

2021
Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021


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