Wenjie Yang School of Data Science Fudan University Shanghai, China. 200433. Email: yangwj22@m.fudan.edu.cn

About Me

I am a second-year PhD student in the School of Data Science, 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.

Publications

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

• Wenjie Yang†, Shengzhong Zhang†, Jiaxing Guo, Zengfeng Huang*. Contra²: A One-step Active Learning Method for Imbalanced Graphs. Artificial Intelligence, 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.
• 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*. Your Graph Recommenders are Provably Doing Graph Contrastive Learning. KDD, 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.