Dong Huang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 89

Top Topics

Subspace Clustering

Unsupervised Feature Selection

Matrix Factorization

Locally Weighted

Top Venues

IEEE Trans. Cybern.

Knowl. Based Syst.

Publications

Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks 179 (2024)
Hai-Xin Zhang, Dong Huang, Hua-Bao Ling, Guang-Yu Zhang, Wei-jun Sun, Zi-hao Wen
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction. CoRR (2024)
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Deep image clustering with contrastive learning and multi-scale graph convolutional networks. Pattern Recognit. 146 (2024)
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Ruijun Ma, Yaoxuan Zhang, Bob Zhang, Leyuan Fang, Dong Huang, Long Qi
Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising. IEEE Trans. Image Process. 33 (2024)
Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. IEEE Trans. Big Data 10 (1) (2024)
Chun-Hong Li, Dong Huang, Guang-Yu Zhang, Jinrong Cui
Motorcyclist helmet detection in single images: a dual-detection framework with multi-head self-attention. Soft Comput. 28 (5) (2024)
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
Joint Multi-View Unsupervised Feature Selection and Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Hai-Xin Zhang, Dong Huang
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation. CoRR (2024)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260 (2023)
Bowen Zhu, Dong Huang, Jinrong Cui, Guangyu Zhang
Deep Attributed Graph Clustering with Graph Attention Network. ICMLC (2023)
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. Inf. Fusion 91 (2023)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
Heterogeneous Tri-stream Clustering Network. Neural Process. Lett. 55 (5) (2023)
Ying Zhong, Dong Huang, Chang-Dong Wang
Deep Temporal Contrastive Clustering. Neural Process. Lett. 55 (6) (2023)
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering. CoRR (2023)
Hua-Bao Ling, Dong Huang, Jinrong Cui, Chang-Dong Wang
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network. Eng. Appl. Artif. Intell. 126 (2023)
Mansheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wu-Dong Xi, Dong Huang
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. ACM Multimedia (2023)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly augmented contrastive clustering. Pattern Recognit. 139 (2023)
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
Heterogeneous Tri-stream Clustering Network. CoRR (2023)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia (2022)
Yuanku Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR (2022)
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Vision Transformer for Contrastive Clustering. CoRR (2022)
Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) (2022)
Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
Efficient Orthogonal Multi-view Subspace Clustering. KDD (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. IEEE Trans. Cybern. 52 (11) (2022)
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR (2022)
Ying Zhong, Dong Huang, Chang-Dong Wang
Deep Temporal Contrastive Clustering. CoRR (2022)
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning. CoRR (2022)
Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiao-Yu He
Kernelized multi-view subspace clustering via auto-weighted graph learning. Appl. Intell. 52 (1) (2022)
Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52 (7) (2022)
Mansheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Representation Learning in Multi-view Clustering: A Literature Review. Data Sci. Eng. 7 (3) (2022)
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks. CoRR (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR (2022)
Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. PRCV (2) (2022)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52 (8) (2022)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly Augmented Contrastive Clustering. CoRR (2022)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR (2022)
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
Joint Multi-view Unsupervised Feature Selection and Graph Learning. CoRR (2022)
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He
Joint representation learning for multi-view subspace clustering. Expert Syst. Appl. 166 (2021)
Hua-Bao Ling, Dong Huang
Single-Image Smoker Detection by Human-Object Interaction with Post-refinement. ICONIP (2) (2021)
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Xiaosha Cai, Dong Huang
Link-Based Consensus Clustering with Random Walk Propagation. ICONIP (5) (2021)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68 (2021)
Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering. DASFAA (2) (2021)
Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang
One-step Kernel Multi-view Subspace Clustering. Knowl. Based Syst. 189 (2020)
Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. PAKDD (1) (2020)
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR (2020)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
Multi-View Clustering in Latent Embedding Space. AAAI (2020)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Dong Huang, Xiaosha Cai, Chang-Dong Wang
Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl. Based Syst. 182 (2019)
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
PartNRL: Partial Nodes Representation Learning in Large-Scale Network. IEEE Access 7 (2019)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR (2019)
Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao
LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing 366 (2019)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. DASFAA (1) (2019)
Youwei Liang, Dong Huang, Chang-Dong Wang
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. ICDM (2019)
Nannan He, Dong Huang
Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking. IScIDE (2) (2019)
Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang
Network embedding with class discriminability. ACM TUR-C (2019)
Shasha Xu, Dong Huang
Ensemble-Initialized k-Means Clustering. ICMLC (2019)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Community Detection Using Attribute Homogenous Motif. IEEE Access 6 (2018)
Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen
Attributed Network Embedding with Micro-meso Structure. DASFAA (1) (2018)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Locally Weighted Ensemble Clustering. IEEE Trans. Cybern. 48 (5) (2018)
Mansheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang
Ensemble Clustering by Noise-Aware Graph Decomposition. ICIT (2018)
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. CoRR (2018)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang
Low-Rank and Sparse Cross-Domain Recommendation Algorithm. DASFAA (1) (2018)
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou
-means for multi-view clustering. Knowl. Based Syst. 150 (2018)
Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang
Community Detection in Graph Streams by Pruning Zombie Nodes. PAKDD (1) (2017)
Mei Li, Dong Huang, Bin Wei, Chang-Dong Wang
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood. IScIDE (2017)
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng
Multi-view collaborative locally adaptive clustering with Minkowski metric. Expert Syst. Appl. 86 (2017)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. CoRR (2017)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering. ICONIP (5) (2017)
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang
CCMS: A nonlinear clustering method based on crowd movement and selection. Neurocomputing 269 (2017)
Xiang-You Peng, Yu-Bo Yang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce. IPDPS Workshops (2016)
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Wei-Shi Zheng
Weighted Multi-view On-Line Competitive Clustering. BigDataService (2016)
Dong Huang, Jianhuang Lai, Chang-Dong Wang
Ensemble clustering using factor graph. Pattern Recognit. 50 (2016)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. CoRR (2016)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Robust Ensemble Clustering Using Probability Trajectories. CoRR (2016)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. ICPR (2016)
Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. IJCNN (2016)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang, Pong C. Yuen
Ensembling over-segmentations: From weak evidence to strong segmentation. Neurocomputing 207 (2016)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Robust Ensemble Clustering Using Probability Trajectories. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Locally Weighted Ensemble Clustering. CoRR (2016)
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang
CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection. Trustcom/BigDataSE/ISPA (2016)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis. Neurocomputing 170 (2015)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis. CoRR (2014)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble. IScIDE (2013)
Chang-Dong Wang, Jian-Huang Lai, Dong Huang, Wei-Shi Zheng
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams. IEEE Trans. Knowl. Data Eng. 25 (6) (2013)
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Incremental support vector clustering with outlier detection. ICPR (2012)
Chang-Dong Wang, Jian-Huang Lai, Dong Huang
Kernel-Based Clustering with Automatic Cluster Number Selection. ICDM Workshops (2011)
Chang-Dong Wang, Jian-Huang Lai, Dong Huang
Incremental Support Vector Clustering. ICDM Workshops (2011)