Kun Zhan

Professor, School of Information Science and Engineering, Lanzhou University

kzhanlzu.edu.cn, ice.echogmail.com

He received B.S. and Ph.D. degrees from Lanzhou University, in 2005 and 2010, respectively. He was a visiting student with Dalhousie University from 2009 to 2010 and was a visiting scholar with University of Technology Sydney from 2017 to 2018. He is currently with Lanzhou University. Here is his CV.

His general research interests are in machine learning, neural networks, and optimization.

Selected Publications:

InfoMatch: Entropy neural estimation for semi-supervised image classification
Q. Han, Z. Tian, C. Xia, K. Zhan*
in IJCAI 2024, 33, 4089-4097
(code | bib | link)

Entropy neural estimation for graph contrastive learning
Y. Ma, X. Zhang, P. Zhang, K. Zhan*
in ACM MM 2023 (Oral), 31, 435--443.
(code | bib | link)

Improving semi-supervised semantic segmentation with dual-level Siamese structure network
Z. Tian, X. Zhang, P. Zhang, K. Zhan*
in ACM MM 2023, 31, 4200--4208.
(code | bib | link)

Stationary diffusion state neural estimation for multiview clustering
C. Liu, Z. Liao, Y. Ma, K. Zhan*
in AAAI 2022 (Oral), 36(7), 7542--7549.
(code | bib | link)

Multiview consensus graph clustering
K. Zhan, F. Nie, J. Wang, Y. Yang
IEEE Transactions on Image Processing, 2019, 28(3), 1261--1270.
(code | bib | link)

Graph learning for multiview clustering
K. Zhan, C. Zhang, J. Guan, J. Wang
IEEE Transactions on Cybernetics, 2018, 48(10), 2887--2895.
(code | bib | link)

[more]