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ORCIDDong Huang 0001
Person information
- affiliation: South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
- affiliation (PhD 2015): Sun Yat-sen University, Guangzhou, School of Data and Computer Science, China
Other persons with the same name
- Dong Huang — disambiguation page
- Dong Huang 0002
![[0000-0001-9715-6922]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9715-6922")
— NASA Goddard Space Flight Center, Greenbelt, MD, USA (and 2 more) - Dong Huang 0003 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Dong Huang 0004 — Chinese Academy of Sciences, Institute of Mountain Hazards and Environment, Chengdu, China
- Dong Huang 0005 — University of Hong Kong, Department of Computer Computer Scienc, China
- Dong Huang 0006 — Sixth People's Hospital Affiliated to Shanghai, Division of Cardiology, China
- Dong Huang 0007 — Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA (and 1 more)
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2020 – today
- 2024
[j48]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks 179: 106529 (2024)- [j47]Hai-Xin Zhang, Dong Huang, Hua-Bao Ling, Weijun Sun, Zihao Wen:
Learning clustering-friendly representations via partial information discrimination and cross-level interaction. Neural Networks 180: 106696 (2024) - [j46]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: 110065 (2024) - [j45]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): 4321-4333 (2024) - [j44]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): 77-91 (2024) - [j43]Dong Huang, Xiaozhi Deng, Ding-Hua Chen, Zihao Wen, Weijun Sun, Chang-Dong Wang, Jian-Huang Lai:
Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9472-9483 (2024) - [j42]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): 16-31 (2024) - [j41]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): 1550-1566 (2024) - [j40]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): 1582-1594 (2024) - [j39]Man-Sheng Chen, Zhi-Yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang:
Sparse Graph Tensor Learning for Multi-View Spectral Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3534-3543 (2024) - [j38]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: 3707-3721 (2024) - [j37]Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Concept Factorization Based Multiview Clustering for Large-Scale Data. IEEE Trans. Knowl. Data Eng. 36(11): 5784-5796 (2024) - [j36]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): 2848-2862 (2024) - [j35]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): 11436-11447 (2024) - [i21]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 abs/2401.13503 (2024) - 2023
- [j34]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: 106919 (2023) - [j33]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: 364-375 (2023) - [j32]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260: 110141 (2023) - [j31]Cheng Huang, Jinrong Cui, Yulu Fu, Dong Huang, Min Zhao, Lusi Li:
Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss. Neural Networks 163: 233-243 (2023) - [j30]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. Neural Process. Lett. 55(5): 6533-6546 (2023) - [j29]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. Neural Process. Lett. 55(6): 7869-7885 (2023) - [j28]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly augmented contrastive clustering. Pattern Recognit. 139: 109470 (2023) - [j27]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): 3187-3197 (2023) - [j26]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): 11388-11402 (2023) - [c37]Bowen Zhu, Dong Huang, Jinrong Cui, Guangyu Zhang:
Deep Attributed Graph Clustering with Graph Attention Network. ICMLC 2023: 368-372 - [c36]Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wudong Xi, Dong Huang:
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. ACM Multimedia 2023: 3069-3077 - [i20]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. CoRR abs/2301.04451 (2023) - [i19]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 abs/2305.07386 (2023) - 2022
- [j25]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): 716-731 (2022) - [j24]Man-Sheng 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): 225-241 (2022) - [j23]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): 5908-5922 (2022) - [j22]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j21]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): 12231-12244 (2022) - [c35]Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang:
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) 2022: 526-537 - [c34]Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Efficient Orthogonal Multi-view Subspace Clustering. KDD 2022: 127-135 - [c33]Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia 2022: 3774-3782 - [c32]Man-Sheng 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: 601-613 - [i18]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR abs/2203.08060 (2022) - [i17]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR abs/2203.11572 (2022) - [i16]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang:
Joint Multi-view Unsupervised Feature Selection and Graph Learning. CoRR abs/2204.08247 (2022) - [i15]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 abs/2206.00359 (2022) - [i14]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly Augmented Contrastive Clustering. CoRR abs/2206.00380 (2022) - [i13]Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Vision Transformer for Contrastive Clustering. CoRR abs/2206.12925 (2022) - [i12]Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR abs/2207.07173 (2022) - [i11]Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR abs/2208.12808 (2022) - [i10]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 abs/2209.04187 (2022) - [i9]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. CoRR abs/2212.14366 (2022) - 2021
- [j20]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: 113913 (2021) - [j19]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68: 8-21 (2021) - [j18]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): 72:1-72:26 (2021) - [j17]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): 508-520 (2021) - [c31]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: 291-306 - [c30]Hua-Bao Ling, Dong Huang:
Single-Image Smoker Detection by Human-Object Interaction with Post-refinement. ICONIP (2) 2021: 181-192 - [c29]Chun-Hong Li, Dong Huang:
Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme. ICONIP (2) 2021: 417-427 - [c28]Xiaosha Cai, Dong Huang:
Link-Based Consensus Clustering with Random Walk Propagation. ICONIP (5) 2021: 693-700 - 2020
- [j16]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) - [j15]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): 22:1-22:19 (2020) - [j14]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): 1212-1226 (2020) - [c27]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c26]Xiaosha Cai, Dong Huang:
Subspace-Weighted Consensus Clustering for High-Dimensional Data. ADMA 2020: 3-16 - [c25]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: 330-342 - [i8]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR abs/2008.10208 (2020)
2010 – 2019
- 2019
- [j13]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: 56457-56468 (2019) - [j12]Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao:
LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing 366: 86-96 (2019) - [j11]Dong Huang, Xiaosha Cai, Chang-Dong Wang:
Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl. Based Syst. 182 (2019) - [c24]Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang:
Network embedding with class discriminability. ACM TUR-C 2019: 52:1-52:5 - [c23]Man-Sheng 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: 175-190 - [c22]Youwei Liang, Dong Huang, Chang-Dong Wang:
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. ICDM 2019: 1204-1209 - [c21]Shasha Xu, Dong Huang:
Ensemble-Initialized k-Means Clustering. ICMLC 2019: 65-69 - [c20]Nannan He, Dong Huang:
Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking. IScIDE (2) 2019: 266-277 - [c19]Jianheng Liang, Dong Huang:
Laplacian-Weighted Random Forest for High-Dimensional Data Classification. SSCI 2019: 748-753 - [i7]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR abs/1903.01057 (2019) - 2018
- [j10]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Community Detection Using Attribute Homogenous Motif. IEEE Access 6: 47707-47716 (2018) - [j9]Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou:
TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering. Knowl. Based Syst. 150: 127-138 (2018) - [j8]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Locally Weighted Ensemble Clustering. IEEE Trans. Cybern. 48(5): 1460-1473 (2018) - [c18]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: 20-36 - [c17]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang:
Low-Rank and Sparse Cross-Domain Recommendation Algorithm. DASFAA (1) 2018: 150-157 - [c16]Man-Sheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang:
Ensemble Clustering by Noise-Aware Graph Decomposition. ICIT 2018: 184-188 - [c15]Shili Xiang, Dong Huang, Xiaoli Li:
A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs. TENCON 2018: 695-700 - [i6]Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. CoRR abs/1810.12544 (2018) - 2017
- [j7]Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng:
Multi-view collaborative locally adaptive clustering with Minkowski metric. Expert Syst. Appl. 86: 307-320 (2017) - [j6]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: 120-131 (2017) - [c14]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering. ICONIP (5) 2017: 167-176 - [c13]Mei Li, Dong Huang, Bin Wei, Chang-Dong Wang:
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood. IScIDE 2017: 676-686 - [c12]Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang:
Community Detection in Graph Streams by Pruning Zombie Nodes. PAKDD (1) 2017: 574-585 - [i5]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh:
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. CoRR abs/1710.03113 (2017) - 2016
- [j5]Dong Huang, Jian-Huang Lai, Chang-Dong Wang, Pong C. Yuen:
Ensembling over-segmentations: From weak evidence to strong segmentation. Neurocomputing 207: 416-427 (2016) - [j4]Dong Huang, Jianhuang Lai, Chang-Dong Wang:
Ensemble clustering using factor graph. Pattern Recognit. 50: 131-142 (2016) - [j3]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Robust Ensemble Clustering Using Probability Trajectories. IEEE Trans. Knowl. Data Eng. 28(5): 1312-1326 (2016) - [c11]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Wei-Shi Zheng:
Weighted Multi-view On-Line Competitive Clustering. BigDataService 2016: 286-292 - [c10]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: 444-449 - [c9]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: 847-854 - [c8]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: 1473-1476 - [c7]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: 2240-2245 - [i4]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Locally Weighted Ensemble Clustering. CoRR abs/1605.05011 (2016) - [i3]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Robust Ensemble Clustering Using Probability Trajectories. CoRR abs/1606.01160 (2016) - [i2]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 abs/1608.01198 (2016) - 2015
- [j2]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis. Neurocomputing 170: 240-250 (2015) - [c6]Dong Huang, Shuguo Han, Xiaoli Li:
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy. PAKDD (2) 2015: 305-316 - [c5]Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu:
Orthogonal mechanism for answering batch queries with differential privacy. SSDBM 2015: 24:1-24:10 - 2014
- [i1]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis. CoRR abs/1405.1297 (2014) - 2013
- [j1]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): 1410-1424 (2013) - [c4]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble. IScIDE 2013: 112-119 - 2012
- [c3]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Incremental support vector clustering with outlier detection. ICPR 2012: 2339-2342 - 2011
- [c2]Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Kernel-Based Clustering with Automatic Cluster Number Selection. ICDM Workshops 2011: 293-299 - [c1]Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Incremental Support Vector Clustering. ICDM Workshops 2011: 839-846
Coauthor Index
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j48] [j46] [j44] [j43] [j42] [j41] [j40] [j39] [j37] [j36] [j35] [j34] [j33] [j32] [j30] [j29] [j28] [j27] [j26] [c36] [i20] [i19] [j25] [j24] [j23] [j22] [j21] [c35] [c34] [c33] [c32] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j20] [j19] [j18] [j17] [c31] [j16] [j15] [j14] [c27] [c25] [i8] [j13] [j12] [j11] [c24] [c23] [c22] [i7] [j10] [j9] [j8] [c18] [c17] [c16] [i6] [j7] [j6] [c14] [c13] [c12] [i5] [j5] [j4] [j3] [c11] [c10] [c9] [c8] [c7] [i4] [i3] [i2] [j2] [i1] [j1] [c4] [c3] [c2] [c1]
Guangyu Zhang
aka: Guang-Yu Zhang
aka: Guang-Yu Zhang