Muhan Zhang
Scholar

Muhan Zhang

Google Scholar ID: OBBqkosAAAAJ
Peking University
Machine LearningGraph Neural NetworkLarge Language Models
Citations & Impact
All-time
Citations
10,817
 
H-index
34
 
i10-index
63
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Total Google Scholar citations exceed 11,000, with two first-author papers cited over 2,900 and 2,200 times respectively. Consistently ranked among the top 2% of scientists globally by Elsevier. Principal investigator for multiple national and local government projects, including the National Key R&D Program of China and NSFC General Projects. Research funded by companies such as Huawei, Tencent, Alibaba, Ant Group, Baidu, Li Auto, and Lingjun.
Research Experience
  • Tenure-track assistant professor and PhD advisor at the Institute for Artificial Intelligence of Peking University. Former research scientist at Facebook AI (now Meta AI) working on large-scale graph learning systems and problems (2019-2021).
Education
  • Bachelor's degree from Shanghai Jiao Tong University in 2015, as a member of the IEEE pilot class, and PhD in Computer Science from Washington University in St. Louis in 2019, advised by Prof. Yixin Chen.
Background
  • Research interests: Graph machine learning, large language model architecture and reasoning, and smart judiciary. Professional fields include graph neural networks, circuit design, drug molecule design, general vision, knowledge graphs, and smart judiciary.
Miscellany
  • Advisor for the 23rd grade of the General AI Experimental Class at Peking University, teaching Introduction to Artificial Intelligence (undergraduate) and Machine Learning (undergraduate and graduate) courses.