Hi,

I am a PhD student at the Information Retrieval lab (THUIR), the Department of Computer Science and Technology, Tsinghua University. Prof Min Zhang is my supervisor. Before that, I received my Bachelor and Master degree in Computer Science and Technology, Tsinghua University.

Information Retrival Group National Lab of Intelligent Technology and System Department of Computer Science and Technology Tsinghua University, Beijing, China

JiayinWangTHU AT gmail.com

Experience

Intern

• Zhipu AI Post-training Team. 2026
  • Coding Agent Reinforcement Learning

Education

• Ph.D student, Department of Computer Science and Technology, Tsinghua University. 2024-2027(Expected)
• Research Assitant, Department of Computer Science and Technology, Tsinghua University. 2023-2024
• M.S., Department of Computer Science and Technology, Tsinghua University. 2020-2023
• B.E., Department of Computer Science and Technology, Tsinghua University. 2016-2020

Selected Paper List

2026

• Interpret the Internal Representations of Recommendation Models with Sparse Autoencoders. (TOIS)

  Jiayin Wang, Xiaoyu Zhang, Weizhi Ma, Zhiqiang Guo, Min Zhang.

2025

• How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison (EMNLP 2025)

  Jiayin Wang, Zhiqiang Guo, Wei Ma, Min Zhang.

• Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach (MM 2025)

  HE Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang.

• U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization (SIGIR 2025)

  HE Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang.

• Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation (WWW 2025 Competition)

  Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang.

• Beyond Utility: Evaluating LLM as Recommender (WWW 2025)

  Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang.

• PerSRV: Personalized Sticker Retrieval with Vision-Language Model (WWW 2025)

  HE Metilda Chee^, Jiayin Wang^, Zhiqiang Guo, Weizhi Ma, Min Zhang.

2024

• A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models. (EMNLP 2024. Resource Award)

  Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie.

• Large Language Models as Evaluators for Recommendation Explanations. (RecSys 2024)

  Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang.

• Understanding User Experience in Large Language Model Interactions. (Arxiv 24)

  Jiayin Wang, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie.

2020-2023

• Measuring Item Global Residual Value for Fair Recommendation. (SIGIR 23)

  Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang.

• Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-distribution. (KDD 22)

  Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma.

• MRAT: The Mixed Reality Analytics Toolkit. (CHI 20, Best Paper Award)

  M. Nebeling, M. Speicher, X. Wang, S. Rajaram, B.D. Hall, Z. Xie, A.R.E. Raistrick, M. Aebersold, E.G. Happ, J. Wang, Y. Sun, L. Zhang, L. Ramsier, R. Kulkarni.