Wenjie Yang

About Me

I am a second-year PhD student in the School of Data Science at Fudan University. Before transferring to the PhD program, I spent two years in the MS program. I am fortunate to be advised by Prof. Zengfeng Huang. I obtained my B.S. degree in Statistics from Donghua University in 2022.

I previously interned at Ant Group and Lilith Games. I am open to research collaboration with both academia and industry. If you are interested, please contact me via email.

Publications

Note: * indicates corresponding author, † indicates equal contribution.

Multimodality

• Wenjie Yang, Zengfeng Huang*.
  Poivre: Self-Refining Visual Pointing with Reinforcement Learning.
  arXiv preprint arXiv:2509.23746, 2025. We incentivize self-refining for the task of visual pointing with RL, surpassing models like Gemini 2.5 Pro on PointBench.

AI for math research

• Jiaxing Guo, Wenjie Yang, Shengzhong Zhang, Tongshan Xu, Lun Du, Da Zheng, Zengfeng Huang*.
  Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning.
  arXiv preprint arXiv:2506.06877, 2025.
• Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng*, Zengfeng Huang*.
  Retrieval-Augmented Language Models are Mimetic Theorem Provers.
  EMNLP Findings, 2025.

Graph machine learning

• Wenjie Yang, Shengzhong Zhang*, Chen Ye, Jiaxing Guo, Tongshan Xu, Zengfeng Huang*.
  Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning.
  AAAI, 2026.
• Wenjie Yang†, Shengzhong Zhang†, Zengfeng Huang*.
  Cross-level graph contrastive learning for community value prediction.
  Neural Networks, 2026.
• Wenjie Yang†, Shengzhong Zhang†, Jiaxing Guo, Zengfeng Huang*.
  Contra²: A One-step Active Learning Method for Imbalanced Graphs.
  Artificial Intelligence, 2025.
• Wenjie Yang, Shengzhong Zhang*, Jiaxing Guo, Zengfeng Huang*.
  Your Graph Recommenders are Provably Doing Graph Contrastive Learning.
  KDD, 2025.
• Shengzhong Zhang, Wenjie Yang*, Yimin Zhang, Hongwei Zhang, Zengfeng Huang*.
  Understanding Class Bias Amplification in Graph Representation Learning.
  Transactions on Machine Learning Research (TMLR), 2025.
• Shengzhong Zhang, Yimin Zhang, Bisheng Li, Wenjie Yang, Min Zhou, Zengfeng Huang*.
  Graph Batch Coarsening Framework for Scalable Graph Neural Networks.
  Neural Networks, 2025.
• Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang*.
  StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning.
  ICLR, 2024.
• Wenjie Yang†, Shengzhong Zhang†, Zengfeng Huang*.
  Enhancing Performance of Coarsened Graphs with Gradient-matching.
  ICASSP, 2024.