Scholar
Keke Huang
Google Scholar ID: OsceCbcAAAAJ
University of British Columbia
Citations & Impact
Citations
560
H-index
13
i10-index
14
Publications
20
Co-authors
18
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Conference Program Committee Member: ICLR 2025, WWW 2022-2025, KDD 2022-2025, NeurIPS 2023, 2025, WSDM 2023, CIKM 2023-2025, LoG 2022-2024
- - Journal Reviewer: VLDBJ, TKDE, Neurocomputing, Journal of Global Optimization, ACM Computing Surveys, Applied Network Science, Mathematics
- - Invited Talks: University of Cambridge, The University of British Columbia, Huazhong University of Science and Technology
Research Experience
- - Postdoctoral Researcher at the Department of Computer Science, University of British Columbia (UBC)
- - Research projects include polynomial approximation and optimization for Spectral Graph Neural Networks, node-wise diffusion for scalable graph learning, etc.
Education
- - Ph.D. from Nanyang Technological University (NTU), supervised by Prof. Xiaokui Xiao and Prof. Aixin Sun
- - B.Eng. from Huazhong University of Science and Technology (HUST)
- - Currently a Postdoctoral Researcher at the Department of Computer Science, University of British Columbia (UBC), working with Prof. Laks Lakshmanan
- - Long-term visiting scholar at the AI Group of Prof. Pietro Liò at the University of Cambridge
Background
- Research interests include data management and analysis, and graph learning. Focuses on developing scalable, efficient, and theoretically robust algorithms to enhance the efficiency and effectiveness of graph analytics and graph learning. Particular interest in designing scalable and effective Graph Neural Networks, and studying strategies to optimize Large Language Models.
Miscellany
- Currently on the faculty job market
