💬 About Me

• My research interests focus on Machine Learning, especially on Reinforcement Learning and Optimization.

📖 Educations

• 2022.09 - 2026.06: B.Eng, Computer Science (Turing Honors Class), Renmin University of China, advisor Mingyang Yi.

💻 Experiences

• 2026.06 - now: Researcher, LLM Post-training Team, StepFun, Beijing.
• 2026.01 - 2026.06: Research Intern, AI Infra and Data Team, JD.com, Beijing.
• 2025.03 - 2025.09: Research Intern, Reinforcement Learning Team, Zhongguancun Academy, Beijing.
• 2024.09 - 2025.03: Development Intern, LLM Pre-training Team, PixVerse, Beijing.

📝 Publications

• ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment
  Xiuyu Li*, Jinkai Zhang*, Mingyang Yi, Yu Li, Longqiang Wang, Yue Wang, Ju Fan
  ICML 2026

PrePrints

• Your “Pro” LLM Subscription May Actually Be “Free”: Exposing Fingerprint Spoofing Risks in LLM Inference Services
  Jiahao Zhang*, Xiuyu Li*, Suhang Wang
  Preprint
• OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner
  Haoyang Jiang*, Zekun Wang*, Mingyang Yi, Xiuyu Li, Lanqing Hu, Junxian Cai, Qingbin Liu, Xi Chen, Ju Fan
  Preprint
• Reasoning and Tool-use Compete in Agentic RL: From Quantifying Interference to Disentangled Tuning
  Yu Li, Mingyang Yi, Xiuyu Li, Ju Fan, Fuxin Jiang, Binbin Chen, Peng Li, Jie Song, Tieying Zhang
  Preprint

🎖 Selected Honors and Awards

• 2026.06: Special Award, Sa Shixuan Elite Fund, Renmin University of China (30,000 CNY)
• 2026.05: Research Funding, Anonymous Personal Sponsorship (5,000 USDT)
• 2022.11: Gold Medal, The 2022 ICPC Asia Shenyang Regional Contest