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 Fellow of ACM & IEEE & AAAS, Chair Prof. Yuguang "Michael" Fang. He is also a Visiting PhD at the Department of Computer Science, University of Oxford, working with Prof. Jiarui Gan. Previously, he received his BSc degree from the School of Information and Electronics, Beijing Institute of Technology in 2022.
His long-term research vision is to develop intelligent, efficient, collaborative, and trustworthy LLM-based agentic systems that solve complex real-world tasks and move toward AGI. His works have been published in top-tier conferences such as NeurIPS, CVPR, 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. He received the CYCSGS Scholarship, CityUHK's highest honor for PhD students, as the sole awardee in the Dept. of CS. He received Best Paper Award at GLOBECOM'25.
I'm currently looking for a faculty position (AP/RAP) or a postdoctoral position starting in late fall 2026. Please feel free to reach out!
Education & Experience
Dept. of Computer Science, conduct research on LLM Agentic RL, self-evolution and game theory.
Working with Prof. Jiarui Gan
Conduct research on Agentic Reasoning and Reinforcement Learning, proposed InfoReasoner.
Working with Prof. Yuzhi Zhao
Dept. of 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 Dept.)
Electronic Information Engineering
National Scholarship (Top 1%)
Research Vision
Building intelligent, efficient, collaborative, and trustworthy LLM-based agentic systems that solve complex real-world tasks and move toward AGI.
Agentic Reasoning & Reinforcement Learning
Developing agentic reasoning, reinforcement learning, and self-evolution methods for LLM agents that plan, search, use tools, and continually improve through feedback.
Efficient Post-Training & Inference
Building efficient post-training, decoding, and inference-time adaptation methods that reduce token usage, tool calls, and deployment costs for capable LLM agents.
Collaborative Agent Systems
Building multi-agent agentic systems that solve complex tasks through coordination, planning, communication, and tool interaction.
Trustworthy Multi-Agent Systems
Developing robust and adaptive multi-agent systems that remain reliable under uncertainty, distribution shifts, and malicious-agent attacks.
Publications
Honors & Awards
Best Paper Award
IEEE Communications Society
UAV-enabled Computing Power Networks: Task
Completion Probability Analysis at IEEE Global Communications Conference
(GLOBECOM'25)
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
- ICML
- ICLR
- NeurIPS
- AAAI
- CVPR
- ICCV
- CSCW
- ACM MM
- ICRA
- IROS
- ECCV
- ICCC
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
- IEEE TPDS
Teaching Assistant
- Cloud Computing, 2026 Spring
- Cloud Computing: Theory and Practice, 2026 Spring
- Info Security for eCommerce, 2025 Fall
- Cloud Computing, 2025 Spring
- Computer Networks, 2024 Fall
- Cloud Computing: Theory and Practice, 2024 Spring