My name is Jingyan Shen. I am a first-year CS Ph.D. student at New York University, advised by Prof. Matus Telgarsky and Prof. Pavel Izmailov. Previously, I earned my dual master degree from Tsinghua University and Columbia University. Prior to this, I completed my Bachelor’s degree at Wuhan University, majoring in Statistics. My research focuses on data-centric machine learning, with recent interests in LLM alignment and LLM reasoning.

🔥 News

• 2025.08:  🚀🚀 MiCRo has been accepted by EMNLP 2025 Main Conference (recommended as an oral presentation)!
• 2025.05:  🎉🎉 One paper accepted by ICML 2025.
• 2025.01:  🎉🎉 TimeInf has been accepted by ICLR 2025.
• 2024.09:  🎉🎉 One paper accepted by NeurIPS 2024.

📝 Preprints and Publications

(^†: equal contribution)

Preprints:

• Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay

  Yifan Sun^†, Jingyan Shen^†, Yibin Wang^†, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang [Paper]

Publications:

• MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning

  Jingyan Shen^†, Jiarui Yao^†, Rui Yang^†, Yifan Sun, Feng Luo, Rui Pan, Tong Zhang, Han Zhao
  EMNLP 2025 (Main) [Paper]

• Conformal Tail Risk Control for Large Language Model Alignment

  Catherine Chen, Jingyan Shen, Zhun Deng, Lihua Lei
  ICML 2025 [Paper]

• Rethinking Diverse Human Preference Learning through Principal Component Analysis

  Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen
  ACL 2025 (Findings) [Paper]

• TimeInf: Time Series Data Contribution via Influence Functions

  Yizi Zhang^†, Jingyan Shen^†, Xiaoxue Xiong^†, Yongchan Kwon
  ICLR 2025 [Paper] [Code]

• 2D-OOB: Attributing Data Contribution through Joint Valuation Framework

  Yifan Sun^†, Jingyan Shen^†, Yongchan Kwon
  NeurIPS 2024 [Paper] [Code]

🎖 Honors and Awards

• Outstanding Graduate Student (Top 1%), Tsinghua University, 2024
• Excellent Graduate Thesis Award, Tsinghua University, 2024
• Graduate Fellowship, Columbia University, 2023
• Outstanding Undergraduate Student, Wuhan University, 2021
• National Scholarship for Undergraduates, Ministry of Education of China, 2018

💻 Industry Experience

• 2024.02 - 2025.06, Full-time machine learning engineer at Pinterest

🌟 Hobbies

Outside of research, I enjoy playing table tennis and tennis. I’m always excited to dive into a good book or explore new places when I travel.