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. Previously, he received his BSc degree from the School of Information and Electronics, Beijing Institute of Technology in 2022. His current research interests include Agentic RL, Claw/Tool-Use Agents, Search Agents, and Multi-Agent Intelligence. 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 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
Computer Science
Conduct research on Agentic Reasoning and Reinforcement Learning, proposed InfoReasoner.
Mentored by Prof. Yuzhi Zhao
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 Interests
Agentic RL & Agents
- Agentic RL: Designing reinforcement learning methods for agentic reasoning, planning, and post-training of foundation models.
- Tool-use, Claw, and Search Agents: Building agents that can use external tools, structured actions, retrieval/search, and execution feedback to solve complex tasks.
- Self-Evolving Agents: Building agentic systems that iteratively improve their policies, tool-use strategies, and workflows through autonomous feedback loops.
Multi-Agent Intelligence
- Multi-Agent Agentic Systems: Building multi-agent agentic systems to solve complex digital tasks through coordination, planning, and tool interaction.
- Coordination and Decision-Making: Designing multi-agent systems that coordinate perception, communication, and actions for complex tasks.
- Robust and Adaptive Multi-Agent Systems: Building multi-agent systems that remain reliable under uncertainty, distribution shifts, and adversarial settings.
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