I am currently a Ph.D. student in the School of Software, Shandong University, enrolled through the master-to-Ph.D. program in 2023. I am jointly supervised by Shandong University and Zhongguancun Academy. My research interests include agentic reinforcement learning, LLM post-training, agent self-improvement, and spatiotemporal data mining. I am fortunate to be advised by Prof. Yong Li (Tsinghua EE), Prof. Yongshun Gong (SDU Software).

I was a research intern at Alibaba DAMO Academy (Hangzhou) from February to August 2025, working on temporal foundation models.

I’m open for academic collaborations. If you are interested, please feel free to email me!

🔥 News

  • 2026.09:  🎉🎉 Two papers are accepted by NIPS 2026!
  • 2026.08:  🎉🎉 One paper is accepted by EMNLP 2026!
  • 2026.05:  🎉🎉 One paper is accepted by ICML 2026!
  • 2025.04:  🎉🎉 One paper is accepted by IJCAI 2025!
  • 2025.04:  🎉🎉 One paper is accepted by TKDE!
  • 2025.08:  🎉🎉 I completed my research internship at Alibaba’s DAMO Academy in Hangzhou!

📝 Publications

NIPS 2026
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SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

Min Yang, Jinghua Piao, Xu Xia, Xiaochong Lan, Jiaju Chen, Yongshun Gong, Yong Li

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EMNLP 2026
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EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making

Min Yang, Yichen Pan, Jinghua Piao, Dandan Song, Yongshun Gong, Yong Li

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IJCAI 2025
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CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning

Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong

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TKDE
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STDA: Spatio-Temporal Deviation Alignment Learning for Cross-city Fine-grained Urban Flow Inference

Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong

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📖 Educations

  • 2025.09 - 2028.06 (expected) , Ph.D, Shandong University & Zhongguancun Academy, Artificial Intelligence.
  • 2023.09 - 2025.06, MSc, Shandong University, Artificial Intelligence.

💻 Internships

  • 2025.02 - 2025.08, Alibaba DAMO Academy, Hangzhou.