Obserwuj
Zhao Kang(康昭)
Zhao Kang(康昭)
Associate Professor, University of Electronic Science and Technology of China (电子科技大学)
Zweryfikowany adres z uestc.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Large-scale Multi-view Subspace Clustering in Linear Time
Z Kang, W Zhou, Z Zhao, J Shao, M Han, Z Xu
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) 34 (04 …, 2020
2792020
Robust Graph Learning from Noisy Data
Z Kang, H Pan, SCH Hoi, Z Xu
IEEE Transactions on Cybernetics 50 (5), 1833-1843, 2020
2702020
Multi-graph Fusion for Multi-view Spectral Clustering
Z Kang, G Shi, S Huang, W Chen, X Pu, JT Zhou, Z Xu
Knowledge-based Systems, 2019
2292019
Partition Level Multiview Subspace Clustering
Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu
Neural Networks 122, 279-288, 2020
2062020
Auto-weighted multi-view clustering via kernelized graph learning
S Huang, Z Kang, IW Tsang, Z Xu
Pattern Recognition 88, 174-184, 2019
1922019
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Z Kang, Z Lin, X Zhu, W Xu
IEEE Transactions on Cybernetics 52 (9), 8976 - 8986, 2022
1772022
Robust PCA via Nonconvex Rank Approximation
Z Kang, C Peng, Q Cheng
The IEEE International Conference on Data Mining (ICDM 2015), 2015
1752015
Low-rank Kernel Learning for Graph-based Clustering
Z Kang, L Wen, W Chen, Z Xu
Knowledge-Based Systems 163, 510-517, 2019
1622019
Auto-weighted multi-view clustering via deep matrix decomposition
S Huang, Z Kang, Z Xu
Pattern Recognition 97, 107015, 2020
1582020
Multi-view Contrastive Graph Clustering
E Pan, Z Kang*
Thirty-fifth Annual Conference on Neural Information Processing Systems(NeurIPS), 2021
1532021
Top-N Recommender System via Matrix Completion
Z Kang, C Peng, Q Cheng
Thirtieth AAAI Conference on Artificial Intelligence(AAAI-16), 2016
1242016
Kernel-driven Similarity Learning
Z Kang, C Peng, Q Cheng
Neurocomputing 267, 210-219, 2017
1232017
Multi-view Attributed Graph Clustering
Z Lin, Z Kang*, L Zhang, L Tian
IEEE Transactions on Knowledge and Data Engineering 35(2):1872-1880, 2023
1142023
Structured Graph Learning for Clustering and Semi-supervised Classification
Z Kang, C Peng, Q Cheng, X Liu, X Peng, Z Xu, L Tian
Pattern Recognition 110, 107627, 2021
1092021
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
1012018
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
992018
Pseudo-supervised Deep Subspace Clustering
J Lv, Z Kang*, X Lu, Z Xu
IEEE Transactions on Image Processing 30, 5252-5263, 2021
962021
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
932017
Robust deep k-means: An effective and simple method for data clustering
S Huang, Z Kang, Z Xu, Q Liu
Pattern Recognition 117, 107996, 2021
882021
Auto-weighted multi-view co-clustering with bipartite graphs
S Huang, Z Xu, IW Tsang, Z Kang
Information Sciences 512, 18-30, 2020
822020
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