Senkang "Forest" Hu
Scholar

Senkang "Forest" Hu

Google Scholar ID: rtPVwT8AAAAJ
PhD, CS@CITYUHK
Large Language ModelLLM AgentComputer Vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
290
 
H-index
8
 
i10-index
8
 
Publications
19
 
Co-authors
1
list available
Contact
Emailsenkang.forest@gmail.comGitHubOpen ↗LinkedInOpen ↗
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • 1. Sep. 2025, Paper 'Distribution-Aligned Decoding for Efficient LLM Task Adaptation' accepted by NeurIPS'25.
  • 2. Aug. 2025, Awarded Chow Yei Ching School of Graduate Studies (CYCSGS) Scholarship (one of 10 awardees university-wide and the sole awardee in the Department of Computer Science) and Research Tuition Scholarship (RTS).
  • 3. Jul. 2025, Three papers accepted by GLOBECOM'25, including one first-author paper 'Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge'.
  • 4. Apr. 2025, First-author paper 'AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging' accepted by IEEE Transactions on Mobile Computing (TMC).
  • 5. Apr. 2025, First-author paper 'Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities' accepted by IEEE Wireless Communications Magazine (WCM).
Research Experience
  • Seeking potential research internship positions. If you find that my profile aligns with your needs, please feel free to contact me.
Education
  • 1. Ph.D. @ 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)
  • 2. BEng @ Beijing Institute of Technology, Sep. 2018 - Jul. 2022, Electronic Information Engineering, National Scholarship
Background
  • Currently a Ph.D. candidate at the Department of Computer Science, City University of Hong Kong, under the supervision of Prof. Yuguang 'Michael' Fang. Research interests include large language model reasoning, intelligent agents, post-training techniques (such as PEFT and RL), and multi-agent systems, specifically in security, decision-making, and planning.
Miscellany
  • Serves as a reviewer or technical program committee member for ICML, ICLR, NeurIPS, ICRA, TMC, ToN, TITS, etc.
Co-authors
1 total
Yuguang "Michael" Fang
Yuguang "Michael" Fang
Chair Professor of Internet of Things, City University of Hong Kong