Name: 绽琨
Type: User
Company: Lanzhou University
Bio: Kun Zhan received the BS and PhD degrees from Lanzhou University, China, in 2005 and 2010, respectively. Currently, He works in Lanzhou University.
Contact Me:
✉ Email: [email protected]
⚡ Website: http://kunzhan.github.io/
⚡ Google Scholar: https://scholar.google.com.hk/citations?hl=en&user=sk7TcGAAAAAJ
arm_hsi
JEI2017: Albedo Recovery for Hyperspectral Image Classification
asmv
Tcyb 2019: Adaptive structure discovery for multimedia analysis using multiple features
cks_pancreas
Pancreas Segmentation
dssn
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
fast_image_fusion
A novel explicit multi-focus image fusion method
fast_linking_scm
IJCNN 2015: Image segmentation using fast linking SCM
feature_linking_model
Neural Computation 2016: Feature linking model for image enhancement
ffif
JEI 2017: Fast filtering image fusion
gsf
TKDE 2019: Graph Structure Fusion for Multiview Clustering
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
kunzhan
kunzhan.github.io
https://kunzhan.github.io
ldm_hsi_classification
JEI 2016: Large margin distribution machine for hyperspectral image classification
lscn
Neurocomputing 2017: Linking synaptic computation for image enhancement
m-ilbo
ACM MM 2023 (Oral): Entropy neural estimation for graph contrastive learning
mcgc
TIP 2019: Multiview consensus graph clustering
misf
JEI 2019: Multimodal Image Seamless Fusion
msdln
Multi-scale dual-Level network for hyperspectral image classification
mtgcn
FGCS 2021: Mutual teaching for graph convolutional networks
mvcf
NECO 18: Adaptive structure concept factorization for multiview clustering
mvgl
TCyb 2018: Graph learning for multiview clustering
nsfc_template_latex
pc_fusion
JEI 2015: Multifocus image fusion using phase congruency
pulse-coupled_neural_networks_pcnn
Computational mechanisms of pulse-coupled neural networks: A comprehensive review
scdgn
Self-contrastive graph diffusion network
sdsne
AAAI 2022 (Oral): Stationary diffusion state neural estimation
structure-aware_image_fusion
Structure-Aware Image Fusion
udll
JEI 2019: Generative approach to unsupervised deep local learning
vchn
TCyb 2022: View-Consistent Heterogeneous Network on Graphs
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
