Zhao Kang(康昭)
Title
Cited by
Cited by
Year
Robust PCA via Nonconvex Rank Approximation
Z Kang, C Peng, Q Cheng
The IEEE International Conference on Data Mining (ICDM 2015), 2015
742015
Kernel-driven Similarity Learning
Z Kang, C Peng, Q Cheng
Neurocomputing 267, 210-219, 2017
682017
Top-N Recommender System via Matrix Completion
Z Kang, C Peng, Q Cheng
Thirtieth AAAI Conference on Artificial Intelligence(AAAI-16), 2016
682016
High-resolution gamma-ray spectroscopy with a microwave-multiplexed transition-edge sensor array
O Noroozian, JAB Mates, DA Bennett, JA Brevik, JW Fowler, J Gao, ...
Applied Physics Letters 103 (20), 202602, 2013
542013
Low-rank Kernel Learning for Graph-based Clustering
Z Kang, L Wen, W Chen, Z Xu
Knowledge-Based Systems 163, 510-517, 2019
532019
Robust Graph Learning from Noisy Data
Z Kang, H Pan, SCH Hoi, Z Xu
IEEE Transactions on Cybernetics 50 (5), 1833-1843, 2020
482020
Subspace clustering using log-determinant rank approximation
C Peng, Z Kang, huiqing li, qiang Cheng
ACM KDD 2015, 2015
412015
Self-weighted multi-view clustering with soft capped norm
S Huang, Z Kang, Z Xu
Knowledge-Based Systems 158, 1-8, 2018
362018
Robust Subspace Clustering via Smoothed Rank Approximation
Z Kang, P Chong, C Qiang
IEEE Signal Processing Letters 22 (11), 2088-2092, 2015
362015
Unified Spectral Clustering with Optimal Graph
Z Kang, C Peng, Q Cheng, Z Xu
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018
352018
Subspace Clustering via Variance Regularized Ridge Regression
C Peng, Z Kang, Q Cheng
Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017
342017
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Z Kang, C Peng, Q Cheng
Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017
342017
Auto-weighted multi-view clustering via kernelized graph learning
S Huang, Z Kang, IW Tsang, Z Xu
Pattern Recognition 88, 174-184, 2019
332019
Feature Selection Embedded Subspace Clustering
C Peng, Z Kang, M Yang, Q Cheng
IEEE Signal Processing Letters, 2016
312016
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
Z Kang, X Lu, J Yi, Z Xu
The 27th International Joint Conference on Artificial Intelligence (IJCAI-18), 2018
232018
LogDet Rank Minimization with Application to Subspace Clustering
kang zhao, P Chong, C Jie, C Qiang
Computational Intelligence and Neuroscience 2015, 2015
232015
Clustering with Similarity Preserving
Z Kang, H Xu, B Wang, H Zhu, Z Xu
Neurocomputing, 2019
212019
Robust subspace clustering via tighter rank approximation
zhao kang, P Chong, C Qiang
ACM CIKM'15, 2015
202015
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
C Peng, Z Kang, Y Hu, Q Cheng
ACM Transactions on Intelligent Systems and Technology 8 (3), 2017
182017
Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction
C Peng, Z Kang, S Cai, Q Cheng
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 1-25, 2018
172018
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Articles 1–20