About Me

👋 I'm Runlin Lei (雷润林), a fourth-year Ph.D. student at Renmin University of China. I'm a member of the ALGO Lab, advised by Prof. Zhewei Wei. My research interests primarily focus on graph machine learning, trustworthy graph neural networks and graph foundation models (graph large languge models).

🎓 Before embarking on my Ph.D. journey, I earned my Bachelor's degree from Shanghai University of Finance and Economics, where I was advised by Prof. Hongsong Yuan and Prof. Hua Liu.

📧 Feel free to reach out to me via email: runlin_lei@ruc.edu.cn.

Publications

Talks

  • 2023-10: Gave a talk about Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks to the Complex Networks Analysis discussion group. Talk Link
  • 2022-10: Gave a talk about Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks to AITIMES. Talk Link

Honors & Scholarships

  • 2024, 2023: Academic Excellence Scholarship, Academic Scholarship
  • 2022: Shanghai Excellent Graduate, School Excellent Graduate
  • 2021: China Merchants Bank Scholarship, American Undergraduate Mathematical Modeling Competition M Award, National Mathematical Modeling Competition National Second Prize
  • 2020: People's Scholarship First Prize
  • 2019: National Scholarship

Services

I serve(d) as a program committee member / reviewer for:

  • 2025: ICLR, AAAI, TPAMI
  • 2024: NeurIPS, ICML, ICLR, KDD, ACML
  • 2023: NeurIPS, ICML