Biography
Senkang "Forest" Hu (胡森康, feel free to call me "Forest") 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. His research interests include large language model (LLM) reasoning, intelligent agents, post-training techniques (such as PEFT and RL), as well as multi-agent systems, specifically in security, decision-making, and planning. His works have been published in top-tier conferences such as NeurIPS, AAAI (Oral), ICRA, etc., and top-tier journals such as TMC, TITS, ToN. He also serves as a reviewer or technical program committee member for ICML, ICLR, NeurIPS, ICRA, TMC, ToN, TITS, etc.
Education
Computer Science
Computer Science
Supervised by Chair Prof. Yuguang "Michael" Fang, ACM/IEEE/AAAS Fellow
Chow Yei Ching School of Graduate Studies Scholarship (Top 0.3%, sole awardee in CS)
Electronic Information Engineering
National Scholarship (Top 1%)
Research Interests
Large Language Models
- LLM Agentic Reasoning and Reinforcement Learning: Designing agentic reasoning and reinforcement learning methods to improve the performance of LLMs.
- LLM Agentic Systems: Designing agentic systems (single/multi-agent) that can achieve complex tasks.
- 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 Systems
- Multi-Agent System Security: Designing defense methods crucial for secure multi-agent systems as it expands the system's attack surface by leveraging information from other agents.
- Multi-Agent Collaborative Perception: Overcoming limitations of single-agent perception systems like occlusion and sensing range by leveraging information from multiple agents.
Publications
*co-first author, ✉corresponding author.
Experience
Conduct research on Agentic Reasoning, Retrieve-Augmented Generation, and Agentic Reinforcement Learning.
Mentored by Dr. Yuzhi Zhao
Honors & Awards
IEEE ComSoc Student Grant
IEEE Communications Society
Conference Travel Grant for Research Degree Students
City University of Hong Kong
Chow Yei Ching School of Graduate Studies Scholarship, Top 0.3%
City University of Hong Kong
10 awardees university-wide, and the sole awardee in the Department of Computer Science.
Research Tuition Scholarship
City University of Hong Kong
IEEE ComSoc Student Travel Grant
IEEE Communications Society
Institutional Research Tuition Grant
City University of Hong Kong
HK$170,000 to cover part of tuition fees during PhD.
InnoHK Award Funding
The Government of the Hong Kong Special Administrative Region
Around HK$900,000 to support research and PhD career.
National Scholarship
Ministry of Education of the People's Republic of China
The highest honor for Chinese university students.
CASC Scholarship, Top 1%
Beijing Institute of Technology
Example of Scientific Research Innovation, Top 1%
Beijing Institute of Technology
First Class Academic Scholarship, 4 times
Beijing Institute of Technology
Excellent Student of Beijing Institute of Technology, 3 times
Beijing Institute of Technology
Services
Conference Technical Program Committee & Reviewer
- ACM MM'25
- ICML'25
- ICLR'25
- AAAI'25
- CSCW'25
- ICRA'25
- ICCC'24
- IROS'24, 25
Journal Reviewer
- ACM Computing Surveys
- IEEE TMC
- IEEE/ACM ToN
- IEEE TITS
- IET Information Security
- IEEE TNSM
- ACM TAAS
- Information Fusion
- Pattern Recognition
- IEEE RA-L
- Proceedings of the IEEE
- IEEE TVT
Teaching Assistant
- Info Security for eCommerce, 2025 Fall
- Cloud Computing, 2025 Spring
- Computer Networks, 2024 Fall
- Cloud Computing: Theory and Practice, 2024 Spring
Contact
Office Address
83 Tat Chee Avenue Kowloon, Hong Kong