Kun Zhan
Scholar

Kun Zhan

Google Scholar ID: sk7TcGAAAAAJ
Lanzhou University
machine learningcomputer visiongraph learning
Citations & Impact
All-time
Citations
2,549
 
H-index
21
 
i10-index
32
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Bias mitigation in graph diffusion models, ICLR 2025
  • Hierarchical consensus network for multiview feature learning, AAAI 2025
  • BrainGuard: Privacy-preserving multisubiect image reconstructions from brain activities, AAAI 2025 (Oral)
  • Autonomous LLM-enhanced adversarial attack for text-to-motion, AAAI 2025
  • InfoMatch: Entropy neural estimation for semi-supervised image classification, IJCAI 2024
  • Entropy neural estimation for graph contrastive learning, ACM MM 2023 (Oral)
  • Improving semi-supervised semantic segmentation with dual-level Siamese structure network, ACM MM 2023
  • Stationary diffusion state neural estimation for multiview clustering, AAAI 2022 (Oral)
  • Multiview consensus graph clustering, IEEE Transactions on Image Processing, 2019
  • Graph learning for multiview clustering, IEEE Transactions on Cybernetics, 2018
Research Experience
  • Currently with Lanzhou University.
Education
  • Received B.S. and Ph.D. degrees from Lanzhou University in 2005 and 2010, respectively. Visiting student at Dalhousie University from 2009 to 2010 and visiting scholar at the University of Technology Sydney from 2017 to 2018.
Background
  • General research interests are in machine learning, neural networks, and optimization.