About Me

👋 Hi, I’m Nianzu, a Ph.D student @SJTU-ThinkLab, supervised by Prof. Junchi Yan.

I am pursuing my PhD degree at Department of Computer Science in School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU), Shanghai. Before that, I earned bachelor degree in IEEE Honor class at SJTU, majoring in Computer Science.

My principle research interests lie in recommender systems, drug discovery, out-of-distribution generalization and graph neural networks.

I’m always open for collaboration opportunities and please feel free to contact me via email: yangnianzu@sjtu.edu.cn or my WeChat: 18616581118.

What's new

• 🌟 Our EasyDGL is accepted by TPAMI!
• 🌟 Our MorphGrower is chosen as an Oral presentation on ICML2024!
• 🌟 2 papers are accepted by ICML2024! Congrats to Yehui!
• 🌟 My roommate’s node2ket is accepted by ICLR2024! Congrats to Hao Xiong!
• 🌟 2 papers with 1 spotlight are accepted by ICLR2024! Congrats to Yehui, Huaijin & Wei!
• 🌟 Our EasyDGL preprint is available on arXiv and code is also available!
• 🌟 One paper on combinatorial drug recommendation is accepted by WWW2023!
• 🌟 We write a blog in Chinese to facilitate understanding the proposed MoleOOD!
• 🌟 I begin to maintain awesome-molecular-docking and welcome contributions!
• 🌟 Our MoleOOD is chosen as one of the Spotlight presentations on NeurIPS2022!
• 🌟 One paper on molecular representation learning is accepted by NeurIPS2022!

Experience

• SJTU 2021.09 - 2026.06(expected)

  PhD Candidate @ThinkLab
• Tencent AI Lab 2022.11 - 2023.7

  Intern
  DrugAI
• Meituan 2021.04 - 2021.09

  Intern
  Recommender System
  Won 2020-2021 Best Research Collaboration Award
• SJTU 2017.09 - 2021.06

  B.Sc. Student
  Computer Science (IEEE Honor Class)