kunzhan
Kun Zhan received the BS and PhD degrees from Lanzhou University, China, in 2005 and 2010, respectively. Currently, He works in Lanzhou University.
Lanzhou University
Pinned Repositories
CKS_Pancreas
ICIP 2023: Pancreas Segmentation
DSSN
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
HC_DNA
JEI 2017: Cross-utilizing hyperchaotic and DNA sequences for image encryption
InfoMatch
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
M-ILBO
ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning
MCGC
TIP 2019: Multiview consensus graph clustering
MVGL
TCyb 2018: Graph learning for multiview clustering
Pulse-coupled_neural_networks_PCNN
Computational mechanisms of pulse-coupled neural networks: A comprehensive review
SDSNE
AAAI 2022 (Oral): Stationary diffusion state neural estimation
VCHN
TCyb 2023: View-Consistent Heterogeneous Network on Graphs
kunzhan's Repositories
kunzhan/Pulse-coupled_neural_networks_PCNN
Computational mechanisms of pulse-coupled neural networks: A comprehensive review
kunzhan/SDSNE
AAAI 2022 (Oral): Stationary diffusion state neural estimation
kunzhan/MVGL
TCyb 2018: Graph learning for multiview clustering
kunzhan/MCGC
TIP 2019: Multiview consensus graph clustering
kunzhan/InfoMatch
IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification
kunzhan/M-ILBO
ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning
kunzhan/VCHN
TCyb 2023: View-Consistent Heterogeneous Network on Graphs
kunzhan/CKS_Pancreas
ICIP 2023: Pancreas Segmentation
kunzhan/DSSN
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
kunzhan/HC_DNA
JEI 2017: Cross-utilizing hyperchaotic and DNA sequences for image encryption
kunzhan/MTGCN
FGCS 2021: Mutual teaching for graph convolutional networks
kunzhan/SCDGN
ACM MM 2023: ISelf-contrastive graph diffusion network
kunzhan/Structure-Aware_Image_Fusion
Structure-Aware Image Fusion
kunzhan/FFIF
JEI 2017: Fast filtering image fusion
kunzhan/HR-cloud-Net
High-Resolution Cloud Detection Network
kunzhan/GSF
TKDE 2019: Graph Structure Fusion for Multiview Clustering
kunzhan/LDM_HSI_Classification
JEI 2016: Large margin distribution machine for hyperspectral image classification
kunzhan/MVCF
NECO 18: Adaptive structure concept factorization for multiview clustering
kunzhan/MSDLN
Multi-scale dual-Level network for hyperspectral image classification
kunzhan/Fast_linking_SCM
IJCNN 2015: Image segmentation using fast linking SCM
kunzhan/PC_fusion
JEI 2015: Multifocus image fusion using phase congruency
kunzhan/ARM_HSI
JEI2017: Albedo Recovery for Hyperspectral Image Classification
kunzhan/LSCN
Neurocomputing 2017: Linking synaptic computation for image enhancement
kunzhan/MISF
JEI 2019: Multimodal Image Seamless Fusion
kunzhan/ASMV
Tcyb 2019: Adaptive structure discovery for multimedia analysis using multiple features
kunzhan/kunzhan.github.io
https://kunzhan.github.io
kunzhan/UDLL
JEI 2019: Generative approach to unsupervised deep local learning
kunzhan/Feature_linking_model
Neural Computation 2016: Feature linking model for image enhancement
kunzhan/NSFC_Template_LaTeX
kunzhan/kunzhan