Scholar
Yizhou Sun
Google Scholar ID: TQgOjK0AAAAJ
Professor, Computer Science, UCLA
Citations & Impact
Citations
18,350
H-index
62
i10-index
177
Publications
20
Co-authors
44
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers, including 'RLogic: Recursive Logical Rule Learning from Knowledge Graphs' and 'Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks.' Authored two books: 'Knowledge Graph Reasoning: A Neuro-Symbolic Perspective' (2025) and 'Mining Heterogeneous Information Networks: Principles and Methodologies' (2012). Supervised several Ph.D. students and postdocs, with some now working at institutions such as Microsoft, Nvidia, and Harvard University.
Research Experience
- Previously an assistant professor at Northeastern University. Currently a professor at UCLA, leading multiple research projects in the lab.
Education
- Received a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC) in December 2012. Obtained master's and bachelor's degrees in Computer Science and Statistics from Peking University, China.
Background
- Currently a full professor at the Department of Computer Science, UCLA. Research interests include large-scale information network analysis, social networks, link analysis, graph mining, web mining, text mining, AI for EDA, AI for science, and neuro-symbolic reasoning.
Miscellany
- Looking for highly motivated Ph.D. students.
