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 autonomous driving, specifically in perception, 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.
★ Collaboration: Undergraduate and graduate students are welcome to reach out for collaborations, visit this page to check out what I can provide for you.
★ Research Internship: I am currently seeking potential research internship positions. If you find that my profile aligns with your needs, please feel free to contact me.
Education
PhD @ City University of Hong Kong
Aug. 2023 - Now
Computer Science
Supervisor: Prof. Yuguang "Michael" Fang (Chair Professor of Internet of Things and Fellow of ACM & IEEE & AAAS)
BEng @ Beijing Institute of Technology
Sep. 2018 - Jul. 2022
Electronic Information Engineering
National Scholarship
Research Interests
Foundation Models
- 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 Autonomous Driving
- 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.
Publications
*co-first author, ✉corresponding author.
Honors & Awards
Chow Yei Ching School of Graduate Studies Scholarship, Top 1%
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
- 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