Nianzu Yang
Scholar

Nianzu Yang

Google Scholar ID: xdE233gAAAAJ
Shanghai Jiao Tong University
Machine LearningDrug DiscoveryGraph Neural NetworksAIGC
Citations & Impact
All-time
Citations
318
 
H-index
7
 
i10-index
6
 
Publications
12
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Won the Best Research Collaboration Award for 2020-2021; Multiple papers accepted or published at ICML2024, ICLR2024, WWW2023, and NeurIPS2022; EasyDGL accepted by TPAMI; MorphGrower chosen as an Oral presentation at ICML2024; MoleOOD selected as a Spotlight presentation at NeurIPS2022.
Research Experience
  • 2022.11 - 2023.7 Intern at Tencent AI Lab; 2021.04 - 2021.09 Intern at Meituan, working on Recommender System projects.
Education
  • 2017.09 - 2021.06 Bachelor's Degree in Computer Science (IEEE Honor Class) from SJTU; 2021.09 - Expected 2026.06 Ph.D. Candidate at ThinkLab, SJTU, under the supervision of Prof. Junchi Yan.
Background
  • Research Interests: recommender systems, drug discovery, out-of-distribution generalization, and graph neural networks. Profile: Nianzu is a Ph.D. student in the Department of Computer Science at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU), supervised by Prof. Junchi Yan.
Miscellany
  • Maintains the awesome-molecular-docking project and welcomes contributions; Wrote a blog in Chinese to facilitate understanding of the proposed MoleOOD; Contact: Email yangnianzu@sjtu.edu.cn or WeChat 18616581118.