ZHU Chenqing
PhD Student - Southeast University
Researcher in federated learning, trustworthy AI, and multimodal large models.
I am a second-year PhD student at S3IC Lab, Southeast University, advised by Professor LI Songze. My current work focuses on secure and efficient learning across distributed, large-scale, and multimodal AI systems.
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News
- May 14, 2026 One paper was accepted to USENIX Security 2026.
When the Aggregator Cheats: Data-Free Backdoors in Federated LLM-based QA Systems
- May 25, 2025 One paper was accepted to WASA 2026.
Client-Driven Federated Learning for Dynamic Mixtures of Distributions
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Research Focus
Federated Learning
Algorithms for collaborative model training under distributed data, privacy, and system constraints.
LLMs and Federated Learning Security
Security issues that emerge when large language models interact with federated learning workflows.
Multimodal LLM Backdoor Attacks and Defenses
Backdoor threats, evaluation, and defense strategies for multimodal large model systems.
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Education
- 2024 - Present PhD Student, Southeast University
S3IC Lab, advised by Professor LI Songze.
- 2022 - 2024 MPhil in Internet of Things, HKUST(GZ)
Advised by Professor Danny Hin Kwok TSANG and Professor LI Songze.
- 2018 - 2022 Bachelor's Degree in Software Engineering, Soochow University
Undergraduate training in software systems and engineering practice.
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