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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Peiyao Zhao

Peiyao Zhao

     Postdoc    
Postdoc Peiyao Zhao

Group: Artificial Intelligence and Machine Learning

Office: A3-2-302

Email: zhaopeiyao@bimsa.cn

Research Field: Machine Learning, Artificial Intelligence

Education Experience


  • 2022 - 2023      Agency for Science, Technology and Reseach      Computer Science and Technology
  • 2019 - 2025      Beijing Institute of Technology      Computer Science and Technology      博士
  • 2017 - 2019      Beijing Institute of Technology      Applied Statistics      硕士
  • 2013 - 2017      Henan University of Economics and Law      Financial Mathematics      学士

Work Experience


  • 2025 -      BIMSA      Postdoc

Publication


  • [1] P Zhao, X Li, Y Pan, IW Tsang, M Wang, L Liao, Sharpening deep graph clustering via diverse bellwethers, Knowledge-Based Systems, 317, 113322 (2025)
  • [2] P Zhao, X Li, Z Zhang, M Wang, X Zhu, L Liao, Robust Deep Signed Graph Clustering via Weak Balance Theory, Proceedings of the ACM on Web Conference, 2025, 3819-3830 (2025)
  • [3] Z Zhang, P Zhao, X Li, J Liu, X Zhang, J Huang, X Zhu, Signed graph representation learning: A survey, arXiv (2024)
  • [4] Y Fang, X Li, R Ye, X Tan, P Zhao, M Wang, Relation-aware graph convolutional networks for multi-relational network alignment, ACM Transactions on Intelligent Systems and Technology, 14(2), 1-23 (2023)
  • [5] P Zhao, Y Pan, X Li, X Chen, IW Tsang, L Liao, Coarse-to-fine contrastive learning on graphs, IEEE Transactions on Neural Networks and Learning Systems, 35(4), 4622-4634 (2023)

 

Update Time: 2025-10-26 17:00:12


Beijing Institute of Mathematical Sciences and Applications
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