CV

Education

• Ph.D in Computational Mathematics, Zhejiang University, 2021-2026 (expected)
• B.S. in Mathematics and Applied Mathematics, Soochow University, 2017-2021
• High School - High School Affiliated to Nanjing Normal University, 2014-2017

Publications

• Towards Fair Graph Federated Learning via Incentive Mechanisms.
  Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang. In AAAI’24. [paper] [github]

• Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks.
  Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, and Yang Yang. In AAAI’24. [paper] [github]

• Towards Fair and Robust Graph Federated Learning via Incentive Mechanisms.
  Chenglu Pan, Jiarong Xu, Carl Yang, Qingbiao Wu, Yang Yang. In ACM Transactions on Knowledge Discovery from Data. Minor Revision.

• Privacy-Preserving Collaborative Drug Discovery: A Novel Molecular Graph Federated Learning Method.
  Chenglu Pan, Jiarong Xu, Yunfan Yang, Qingbiao Wu, Chenghong Zhang. Information Systems Research (UTD-24). Major Revision.

• Boosting Diffusion-based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios.
  Chenglu Pan, Xiaogang Xu, Ganggui Ding, Yunke Zhang, Wenbo Li, Jiarong Xu, Qingbiao Wu. Submitted to NeurIPS 2025.
• Towards More Practical Vertically Federated Graph Neural Networks.
  Chenglu Pan, Qingbiao Wu. WSDM’25.

Internship

2025.12- ：Intern @ Xiaohongshu.

2025.5-2025.10 : Summer Intern @ Codefuse, AntGroup.

2024.7-2025.4: Research Intern @ Huawei 2012 Lab.

2021.1-2021.4: Data Analyst @ Huatai Securities Co., Ltd.

Teaching

• Teaching assistant for Calculas (2) in 2022 Spring.
• Teaching assistant for Probability Theory and Mathematical Statistics in 2022 Autumn.

Social Contribution

• Reviewer of conferences: NeurIPS’23, KDD’24, WWW’24, ICML’24, AAAI’25, ICLR’25
• Reviewer of journals: TKDE, TNNLS, TBD