Kexin Huang
Scholar

Kexin Huang

Google Scholar ID: ELa-ADAAAAAJ
University of Science and Technology of China
large language modelreinforcement learning
Citations & Impact
All-time
Citations
123
 
H-index
3
 
i10-index
2
 
Publications
10
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Two first-author papers accepted at ICML 2025: 'Larger or Smaller Reward Margins to Select Preferences for Alignment?' and 'Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response'
  • Paper accepted at NeurIPS 2025: 'RePO: ReLU-based Preference Optimization'
  • Paper accepted at EMNLP 2025 (Findings): 'LaMP-Val: Large Language Models Empower Personalized Valuation in Auction'
  • Paper accepted as Oral at WWW 2025: 'SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations'
  • First-author paper accepted at ICML 2024: 'Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games'
  • Paper accepted at SIGIR 2023: 'Alleviating Matthew Effect of Offline Reinforcement Learning in Recommendation', received Best Paper Honorable Mention
  • Paper accepted at ICDE 2023: 'Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning'
  • Invited reviewer for ICLR and TKDE in 2025