Kun Zhan
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  1. M. Yu, K. Zhan*, "Bias mitigation in graph diffusion models," in ICLR, 2025, 13. openreview

  2. C. Xia, C. Niu, K. Zhan*, "Hierarchical consensus network for multiview feature learning," in AAAI, 2025, 39. arXiv

  3. Z. Tian, R. Quan, F. Ma, K. Zhan*, Y. Yang, "BrainGuard: Privacy-preserving multisubiect image reconstructions from brain activities," in AAAI (Oral), 2025, 39. arXiv

  4. H. Miao, F. Ma, R. Quan, K. Zhan*, Y. Yang, "Autonomous LLM-enhanced adversarial attack for text-to-motion," in AAAI, 2025, 39. arXiv

  5. J. Li, T. Xue, J. Zhao, J. Ge, Y. Min , W. Su, K. Zhan*, "High-resolution cloud detection network," Journal of Electronic Imaging, 2024, 33(4), 043027. arXiv

  6. Q. Han, Z. Tian, C. Xia, K. Zhan*, "InfoMatch: Entropy neural estimation for semi-supervised image classification," in IJCAI, 2024, 33, 4089--4097. arXiv

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

  8. Z. Tian, X. Zhang, P. Zhang, K. Zhan*, "Improving semi-supervised semantic segmentation with dual-level Siamese structure network," in ACM MM, 2023, 31, 4200--4208. arXiv

  9. Y. Ma, K. Zhan*, "Self-contrastive graph diffusion network," in ACM MM, 2023, 31, 3857--3865. arXiv

  10. Y. Tang, K. Zhan*, Z. Tian, M. Zhang, S. Wang, X. Wen, "Curriculum knowledge switching for pancreas segmentation," in ICIP, 2023, 985--989. arXiv

  11. Z. Liao, X. Zhang, W. Su, K. Zhan*, "View-consistent heterogeneous network on graphs with few labeled nodes," IEEE Transactions on Cybernetics, 2023, 54(9), 5523--5532.

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

  13. K. Zhan, C. Niu, "Mutual teaching for graph convolutional networks," Future Generation Computer Systems, 2021, 115, 837--843. arXiv

  14. Y. He, W. Su, X. Li, K. Zhan*, "Multiscale dual-level network for hyperspectral image classification," Journal of Electronic Imaging, 2020, 29(3), 033008.

  15. K. Zhan, C. Niu, C. Chen, F. Nie, C. Zhang, Y. Yang, "Graph structure fusion for multiview clustering," IEEE Transactions on Knowledge and Data Engineering, 2019, 31(10), 1984--1993.

  16. K. Zhan, X. Chang, J. Guan, L. Chen, Z. Ma, Y. Yang, "Adaptive structure discovery for multimedia analysis using multiple features," IEEE Transactions on Cybernetics, 2019, 49(5), 1826-1834.

  17. K. Zhan, F. Nie, J. Wang, Yi Yang, "Multiview consensus graph clustering," IEEE Transactions on Image Processing, 2019, 28(3), 1261--1270.

  18. C. Chen, C. Niu, X. Zhan, K. Zhan*, "Generative approach to unsupervised deep local learning," Journal of Electronic Imaging, 2019, 28(4), 043005. arXiv

  19. K. Zhan, L. Kong, B. Liu, Y. He, "Multimodal image seamless fusion," Journal of Electronic Imaging, 2019, 28(2), 023027.

  20. J. Wang, B. Liu, Y. He, K. Zhan*, "Adaptive scalable kernel for hyperspectral image classification," Journal of Electronic Imaging, 2019, 28(1), 013051.

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

  22. K. Zhan, J. Shi, J. Wang, H. Wang, Y. Xie, "Adaptive structure concept factorization for multiview clustering," Neural Computation, 2018, 30(4), 1080--1103.

  23. W. Li, Y. Xie, H. Zhou, Y. Han, K. Zhan*, "Structure-aware image fusion," Optik, 2018, 172, 1-11.

  24. K. Zhan, J. Shi, J. Wang, F. Tian, "Graph-regularized concept factorization for multi-view document clustering," Journal of Visual Communication and Image Representation, 2017, 48, 411--418.

  25. K. Zhan, Y. Xie, H. Wang, Y. Min, "Fast filtering image fusion," Journal of Electronic Imaging, 2017,26(6),063004.

  26. K. Zhan, H. Wang, Y. Xie, C. Zhang, Y. Min, "Albedo recovery for hyperspectral image classification," Journal of Electronic Imaging, 2017, 26(4), 043010.

  27. K. Zhan, J. Shi, H. Wang, Y. Xie, Q. Li, "Computational mechanisms of pulse-coupled neural networks: A comprehensive review," Archives of Computational Methods in Engineering, 2017, 24(3), 573–-588.

  28. K. Zhan, J. Shi, J. Teng, Q. Li, M. Wang, F. Lu, "Linking synaptic computation for image enhancement," Neurocomputing, 2017, 238, 1--12.

  29. K. Zhan, D. Wei, J. Shi, J. Yu, "Cross-utilizing hyperchaotic and DNA sequences for image encryption," Journal of Electronic Imaging, 2017, 26(1), 013021.

  30. K. Zhan, H. Wang, H. Huang, Y. Xie, "Large margin distribution machine for hyperspectral image classification," Journal of Electronic Imaging, 2016, 25(6), 063024.

  31. K. Zhan, J. Guan, Y. Yang, Q. Wu, "Unsupervised discriminative hashing," Journal of Visual Communication and Image Representation, 2016, 40, 847--851.

  32. K. Zhan, J. Teng, J. Shi, Q. Li, M. Wang, "Feature-linking model for image enhancement," Neural Computation, 2016, 28(6), 1072--1100.

  33. K. Zhan, Q. Li, J. Teng, M. Wang, J. Shi, "Multifocus image fusion using phase congruency," Journal of Electronic Imaging, 2015, 24(3), 033014.

  34. K. Zhan, J. Shi , Q. Li, J. Teng, M. Wang, "Image segmentation using fast linking SCM," in Proc. IJCNN, IEEE: 2015, 25, 2093--2100.

  35. K. Zhan, H.Zhang, Y. Ma, "New spiking cortical model for invariant texture retrieval and image processing," IEEE Transactions on Neural Networks, 2009, 20(12), 1980--1986.