Kun Zhan
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  1. Y. Lu, W. Liu,, K. Zhan*, "Information-geometric adaptive sampling for graph diffusion," in ICML, 2026, 43. arXiv

  2. C. Xia, F. Ma, R. Quan, Y. Xu, K. Zhan*, Y. Yang, "Echoes of ownership: Adversarial-guided dual injection for copyright protection in MLLMs," in CVPR, 2026. arXiv

  3. M. Yu, L. Sun, J. Zeng, X. Chu, K. Zhan*, "Elucidating the SNR-t bias of diffusion probabilistic models," in CVPR, 2026. arXiv

  4. J. Zhao, C. Chen, J. Li, T. Xue, K. Zhan*, "CloudMatch: Weak-to-strong consistency learning for semi-supervised cloud detection," Journal of Applied Remote Sensing, 2026, 20(1), 018501. arXiv

  5. M. Yu, K. Zhan*, "Frequency regulation for exposure bias mitigation in diffusion models," in ACM MM, 2025, 33, 10370--10278. arXiv

  6. M. Yu, K. Zhan*, "Bias mitigation in graph diffusion models," in ICLR, 2025, 13, 66738--66755. arXiv openreview

  7. C. Xia, C. Niu, K. Zhan*, "Hierarchical consensus network for multiview feature learning," in AAAI, 2025, 39(20), 21617--21625. arXiv

  8. Z. Tian, R. Quan, F. Ma, K. Zhan*, Y. Yang, "BrainGuard: Privacy-preserving multisubiect image reconstructions from brain activities," in AAAI (Oral), 2025, 39(13), 14414--14422. arXiv

  9. H. Miao, F. Ma, R. Quan, K. Zhan*, Y. Yang, "Autonomous LLM-enhanced adversarial attack for text-to-motion," in AAAI, 2025, 39(6), 6144--6152. arXiv

  10. Y. Zhang, Q. Han, L. Wang, K. Cheng, B. Wang, K. Zhan*, "Graph-weighted contrastive learning for semi-supervised hyperspectral image classification," Journal of Electronic Imaging, 2025, 34(2), 023044. arXiv

  11. T. Xue, J. Zhao, J. Li, C. Chen, K. Zhan*, "CD-Mamba: Cloud detection with long-range spatial dependency modeling," Journal of Applied Remote Sensing, 2025, 19(3), 038507. arXiv

  12. X. Ma, Z. Lv, C. Ma, T. Zhang, Y. Xin, K. Zhan*, "BS-Mamba for black-soil area detection on the Qinghai-Tibetan plateau," Journal of Applied Remote Sensing, 2025, 19(2), 028502. arXiv

  13. 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

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

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

  16. 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

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

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

  19. 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.

  20. 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

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

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

  23. 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.

  24. 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.

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

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

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

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

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

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

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

  32. 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.

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

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

  35. 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.

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

  37. 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.

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

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

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

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

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

  43. 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.