Shenzhi Yang

I am a first-year Ph.D. student at Zhejiang University, advised by Prof. Haobo Wang. Previously, I received my B.S. degree in Communication Engineering from Zhejiang University of Technology and my M.S. degree in Software Engineering from Soochow University, where I was fortunate to be advised by Prof. Xiaofang Zhang.

If you are interested in connecting with me, please feel free to reach out.

Email: yangshenzhi [at] zju.edu.cn

Google Scholar  /  Github

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Research

I am broadly interested in various research topics, including out-of-distribution detection, semi-supervised learning, reinforcement learning, and large language models.

My current work primarily focuses on the robust training of LLMs/MLLMs via reinforcement learning in data-efficient and noisy annotation settings, aiming to enhance their capabilities and reliability.

Selected Publications
TRAPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
Shenzhi Yang, Guangcheng Zhu, Xing Zheng, Yingfan MA, Zhongqi Chen, Bowen Song, Weiqiang Wang, Junbo Zhao, Gang Chen, Haobo Wang
arXiv preprint arXiv:2512.13106 (ICLR'26).

Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li, Shouqing Yang, Dingyu Yang, Xiaofang Zhang, Haobo Wang
arXiv preprint arXiv:2502.16076 (NeurIPS'25).

HGACLLM: Attribute Completion in Heterogeneous Graph with Integration of External Knowledge from Large Language Models
Zongxing Zhao, Shenzhi Yang, Xingkai Yao, Yuying Wang, Zhongqiu Chen, Xiaofang Zhang
https://dl.acm.org/doi/abs/10.1145/3746027.3755800 (MM'25)

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang
arXiv preprint arXiv:2504.13429. (ICML'24)

Services

  • Reviewer for ICML 2026, ICLR 2026, WWW 2024, TKDD, Neural Networks.
  • Awards

  • 2025: Outstanding Graduate of Soochow University
  • 2025: National Scholarship for Postgraduate Students
  • 2021: Zhejiang Provincial Government Scholarship
  • 2020: Zhejiang Provincial Government Scholarship
  • Experience

  • Research Intern in Ant Group, Hangzhou, China (May 2025 - Now)
  • Visiting Student at Westlake University, Hangzhou, China (Aug 2024 – Oct 2024)


  • Updated at November 2025
    Thanks Jon Barron for this amazing template