Senkang Forest Hu

Biography

Senkang "Forest" Hu is currently a Ph.D. candidate at the Department of Computer Science, City University of Hong Kong, under the supervision of Chair Professor of Internet of Things and Fellow of ACM & IEEE & AAAS, Prof. Yuguang "Michael" Fang. Previously, he received his BEng degree from the School of Information and Electronics, Beijing Institute of Technology in 2022. He focuses on LLM-empowered multi-agent systems, LLM post-training, and autonomous driving perception, security, decision-making and planning. His works have been published in top-tier journals such as TMC, TITS, ToN, and top-tier conferences such as AAAI, ICRA, etc. He also serves as a reviewer or technical program committee member for ICML, ICLR, NeurIPS, ICRA, TMC, ToN, TITS, etc.

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Aug. 2023 - Now

Computer Science

Supervisor: Prof. Yuguang "Michael" Fang (Chair Professor of Internet of Things and Fellow of ACM & IEEE & AAAS)

Sep. 2018 - Jul. 2022

Electronic Information Engineering

National Scholarship

LLM Agent Systems: Designing agentic systems that can achieve complex tasks.
Reinforcement Learning for LLM Post-Training: Designing RL-based post-training methods to improve the performance of LLMs.
LLM Parameter-Efficient Fine-Tuning (PEFT) and Task Adaptation: Designing PEFT methods and task-adaptation strategies to adapt LLMs to specific tasks better and more efficiently.

Multi-Agent Collaborative Perception (CP): Overcoming limitations of single-agent perception systems like occlusion and sensing range by leveraging information from multiple vehicles.
Multi-Agent Autonomous Driving Security: Designing defense methods crucial for secure CP as it expands the system's attack surface by leveraging information from other vehicles.