Shudong Huang (黄树东)
Shudong Huang (黄树东)
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Auto-weighted multi-view clustering via kernelized graph learning
S Huang, Z Kang, IW Tsang, Z Xu
Pattern Recognition 88, 174-184, 2019
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 189, 105102, 2020
Self-weighted multi-view clustering with soft capped norm
S Huang, Z Kang, Z Xu
Knowledge-Based Systems 158, 1-8, 2018
Robust multi-view data clustering with multi-view capped-norm k-means
S Huang, Y Ren, Z Xu
Neurocomputing 311, 197-208, 2018
Spectral co-clustering ensemble
S Huang, H Wang, D Li, Y Yang, T Li
Knowledge-Based Systems 84, 46-55, 2015
Auto-weighted multi-view clustering via deep matrix decomposition
S Huang, Z Kang, Z Xu
Pattern Recognition 97, 107015, 2020
Adaptive local structure learning for document co-clustering
S Huang, Z Xu, J Lv
Knowledge-Based Systems 148, 74-84, 2018
Robust graph regularized nonnegative matrix factorization for clustering
S Huang, H Wang, T Li, T Li, Z Xu
Data Mining and Knowledge Discovery 32 (2), 483-503, 2018
Auto-weighted multi-view co-clustering with bipartite graphs
S Huang, Z Xu, IW Tsang, Z Kang
Information Sciences 512, 18-30, 2020
Self-paced and auto-weighted multi-view clustering
Y Ren, S Huang, P Zhao, M Han, Z Xu
Neurocomputing 383, 248-256, 2020
Multiple partitions aligned clustering
Z Kang, Z Guo, S Huang, S Wang, W Chen, Y Su, Z Xu
The 28th International Joint Conference on Artificial Intelligence (IJCAI …, 2019
Nonnegative matrix factorization with adaptive neighbors
S Huang, Z Xu, F Wang
2017 International Joint Conference on Neural Networks (IJCNN), 486-493, 2017
Constraint co-projections for semi-supervised co-clustering
S Huang, H Wang, T Li, Y Yang, T Li
IEEE transactions on cybernetics 46 (12), 3047-3058, 2015
Self-paced and soft-weighted nonnegative matrix factorization for data representation
S Huang, P Zhao, Y Ren, T Li, Z Xu
Knowledge-Based Systems 164, 29-37, 2019
Regularized nonnegative matrix factorization with adaptive local structure learning
S Huang, Z Xu, Z Kang, Y Ren
Neurocomputing 382, 196-209, 2020
Improved Gaussian–Bernoulli restricted Boltzmann machine for learning discriminative representations
J Zhang, H Wang, J Chu, S Huang, T Li, Q Zhao
Knowledge-Based Systems 185, 104911, 2019
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
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-view Clustering
S Huang, I Tsang, Z Xu, JC Lv
IEEE Transactions on Knowledge and Data Engineering, 2021
Deep K-Means: A Simple and Effective Method for Data Clustering
S Huang, Z Kang, Z Xu
International Conference on Neural Computing for Advanced Applications, 272-283, 2020
Iterative Orthogonal Federated Multi-view Learning
S Huang, W Shi, Z Xu, IW Tsang
preprint http://smilelab. uestc. edu. cn/members/huangshudong/Iterative …, 2019
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