Dong Huang

125 papers A* 6B 7C 2Misc 3Journal 82Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
One-step bipartite graph cut: A normalized formulation and its application to scalable subspace clustering.
Neural Networks
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2026 J jnl
REC-GCN: Robust ensemble clustering with graph convolutional networks.
Pattern Recognit.
Dong Huang, Qiang Lai, Haiyan Wang, Yuankun Xu, Chang-Bin Guan, Chang-Dong Wang
2026 J jnl
Structure-preserving contrastive graph clustering with dual-channel label alignment.
Neural Networks
Guang-Yu Zhang, Yan-Di Huang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang
2026 J jnl
TMNet: High-dimensional multiscale self-supervised learning for detection of tympanic membrane thickness.
Biomed. Signal Process. Control.
Jiajun Lai, Juan Chen, Yuexin Cai, Dong Huang, Yiqing Zheng, Junbo Zeng
2026 J jnl
Vision transformer for contrastive clustering.
Knowl. Based Syst.
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2025 J jnl
Contrastive Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2025 B conf
Dual-Level Facilitated Multi-View Contrastive Graph Clustering.
ICPADS
Guangyu Zhang, Zi-Ying Li, Hai-yan Wang, Dong Huang, Chang-Dong Wang, Yang Liu
2025 J jnl
GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network.
IEEE Trans. Artif. Intell.
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2025 J jnl
Knowledge-Reinforced Cross-Domain Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Ling Huang, Dong Huang, Han Zou, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2025 J jnl
Large-Scale Tensorized Multi-View Kernel Subspace Clustering.
ACM Trans. Intell. Syst. Technol.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2025 B conf
Multi-View Clustering via Flexible Dual-Level Fusion.
ICPADS
Guangyu Zhang, Jiaming Deng, Zihao Wen, Dong Huang, Chang-Dong Wang
2025 — conf
Multi-scale Multi-order Attributed Graph Clustering.
ICIC (9)
Qi Zhang, Guangyu Zhang, Dong Huang, Chang-Dong Wang, Haiyan Wang
2025 J jnl
Pyramid contrastive learning for clustering.
Neural Networks
Zi-Feng Zhou, Dong Huang, Chang-Dong Wang
2025 J jnl
Scalable tri-factorization guided multi-view subspace clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Chang-Bin Guan, Dong Huang, Zihao Wen, Chang-Dong Wang, Lei Xiao
2025 Misc conf
ShrimpFormer-X: A Transformer-Based Framework for Counting and Localization of Shrimp Larvae.
WISA
Jiaxin Lin, Yuefang Gao, Dong Huang, Zihao Wen
2025 J jnl
Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning.
IEEE Signal Process. Lett.
Xianxian Xia, Dong Huang, Chen-Min Yang, Chaobo He, Chang-Dong Wang
2025 J jnl
Towards multi-fusion graph neural network for single-cell RNA sequence clustering.
Neurocomputing
Chen-Min Yang, Dong Huang, Yuankun Xu, Xiuting He, Guang-Yu Zhang, Chang-Dong Wang
2024 J jnl
Concept Factorization Based Multiview Clustering for Large-Scale Data.
IEEE Trans. Knowl. Data Eng.
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2024 B conf
Confidence-oriented Contrastive Graph Clustering.
IJCNN
Yan-Di Huang, Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang
2024 J jnl
Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning.
IEEE Trans. Circuits Syst. Video Technol.
Dong Huang, Xiaozhi Deng, Ding-Hua Chen, Zihao Wen, Weijun Sun, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Deep image clustering with contrastive learning and multi-scale graph convolutional networks.
Pattern Recognit.
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2024 A* conf
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering.
ICDM
Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani
2024 J jnl
Joint Multi-View Unsupervised Feature Selection and Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
2024 J jnl
Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising.
IEEE Trans. Image Process.
Ruijun Ma, Yaoxuan Zhang, Bob Zhang, Leyuan Fang, Dong Huang, Long Qi
2024 J jnl
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction.
CoRR
Hai-Xin Zhang, Dong Huang, Hua-Bao Ling, Guang-Yu Zhang, Wei-jun Sun, Zi-hao Wen
2024 J jnl
Learning clustering-friendly representations via partial information discrimination and cross-level interaction.
Neural Networks
Hai-Xin Zhang, Dong Huang, Hua-Bao Ling, Weijun Sun, Zihao Wen
2024 J jnl
Motorcyclist helmet detection in single images: a dual-detection framework with multi-head self-attention.
Soft Comput.
Chun-Hong Li, Dong Huang, Guang-Yu Zhang, Jinrong Cui
2024 J jnl
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.
IEEE Trans. Neural Networks Learn. Syst.
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2024 J jnl
Sparse Graph Tensor Learning for Multi-View Spectral Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Man-Sheng Chen, Zhi-yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang
2024 J jnl
Tensorized Incomplete Multi-view Kernel Subspace Clustering.
Neural Networks
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2024 J jnl
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs.
IEEE Trans. Big Data
Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2023 J jnl
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning.
IEEE J. Biomed. Health Informatics
Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai
2023 Misc conf
Deep Attributed Graph Clustering with Graph Attention Network.
ICMLC
Bowen Zhu, Dong Huang, Jinrong Cui, Guangyu Zhang
2023 J jnl
Deep Temporal Contrastive Clustering.
Neural Process. Lett.
Ying Zhong, Dong Huang, Chang-Dong Wang
2023 J jnl
Facilitated low-rank multi-view subspace clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2023 J jnl
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2023 J jnl
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network.
Eng. Appl. Artif. Intell.
Hua-Bao Ling, Dong Huang, Jinrong Cui, Chang-Dong Wang
2023 J jnl
Heterogeneous Tri-stream Clustering Network.
CoRR
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
2023 J jnl
Heterogeneous Tri-stream Clustering Network.
Neural Process. Lett.
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
2023 J jnl
Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss.
Neural Networks
Cheng Huang, Jinrong Cui, Yulu Fu, Dong Huang, Min Zhao, Lusi Li
2023 A* conf
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning.
ACM Multimedia
Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wudong Xi, Dong Huang
2023 J jnl
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering.
CoRR
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2023 J jnl
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering.
Inf. Fusion
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
2023 J jnl
Strongly augmented contrastive clustering.
Pattern Recognit.
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2022 A* conf
Adaptively-weighted Integral Space for Fast Multiview Clustering.
ACM Multimedia
Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
Adaptively-weighted Integral Space for Fast Multiview Clustering.
CoRR
Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 — conf
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering.
PRCV (2)
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 — conf
D-TRACE: Deep Triply-Aligned Clustering.
ICANN (1)
Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang
2022 J jnl
Deep Temporal Contrastive Clustering.
CoRR
Ying Zhong, Dong Huang, Chang-Dong Wang
2022 J jnl
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks.
CoRR
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning.
CoRR
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2022 A* conf
Efficient Orthogonal Multi-view Subspace Clustering.
KDD
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks.
CoRR
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Joint Multi-view Unsupervised Feature Selection and Graph Learning.
CoRR
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
2022 J jnl
Kernelized multi-view subspace clustering via auto-weighted graph learning.
Appl. Intell.
Guang-Yu Zhang, Xiao-wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiao-Yu He
2022 J jnl
Multiview Subspace Clustering With Grouping Effect.
IEEE Trans. Cybern.
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
2022 J jnl
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
IEEE Trans. Cybern.
Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
2022 J jnl
Representation Learning in Multi-view Clustering: A Literature Review.
Data Sci. Eng.
Man-Sheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering.
CoRR
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
2022 J jnl
Strongly Augmented Contrastive Clustering.
CoRR
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.
IEEE Trans. Cybern.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
2022 J jnl
Vision Transformer for Contrastive Clustering.
CoRR
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2021 J jnl
Attributed Network Embedding with Micro-Meso Structure.
ACM Trans. Knowl. Discov. Data
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen
2021 — conf
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering.
DASFAA (2)
Guang-Yu Zhang, Xiao-wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang
2021 — conf
Detecting Helmets on Motorcyclists by Deep Neural Networks with a Dual-Detection Scheme.
ICONIP (2)
Chun-Hong Li, Dong Huang
2021 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.
IEEE Trans. Syst. Man Cybern. Syst.
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2021 J jnl
Joint representation learning for multi-view subspace clustering.
Expert Syst. Appl.
Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He
2021 — conf
Link-Based Consensus Clustering with Random Walk Propagation.
ICONIP (5)
Xiaosha Cai, Dong Huang
2021 J jnl
Relaxed multi-view clustering in latent embedding space.
Inf. Fusion
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2021 — conf
Single-Image Smoker Detection by Human-Object Interaction with Post-refinement.
ICONIP (2)
Hua-Bao Ling, Dong Huang
2020 J jnl
Community Detection by Motif-Aware Label Propagation.
ACM Trans. Knowl. Discov. Data
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2020 A* conf
Multi-View Clustering in Latent Embedding Space.
AAAI
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2020 J jnl
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency.
CoRR
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2020 J jnl
One-step Kernel Multi-view Subspace Clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang
2020 — conf
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data.
PAKDD (1)
Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh
2020 C conf
Subspace-Weighted Consensus Clustering for High-Dimensional Data.
ADMA
Xiaosha Cai, Dong Huang
2020 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2019 A* conf
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.
ICDM
Youwei Liang, Dong Huang, Chang-Dong Wang
2019 Misc conf
Ensemble-Initialized k-Means Clustering.
ICMLC
Shasha Xu, Dong Huang
2019 J jnl
LSCD: Low-rank and sparse cross-domain recommendation.
Neurocomputing
Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao
2019 — conf
Laplacian-Weighted Random Forest for High-Dimensional Data Classification.
SSCI
Jianheng Liang, Dong Huang
2019 — conf
Meta-cluster Based Consensus Clustering with Local Weighting and Random Walking.
IScIDE (2)
Nannan He, Dong Huang
2019 — conf
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization.
DASFAA (1)
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2019 — conf
Network embedding with class discriminability.
ACM TUR-C
Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang
2019 J jnl
PartNRL: Partial Nodes Representation Learning in Large-Scale Network.
IEEE Access
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2019 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2019 J jnl
Unsupervised feature selection with multi-subspace randomization and collaboration.
Knowl. Based Syst.
Dong Huang, Xiaosha Cai, Chang-Dong Wang
2018 C conf
A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs.
TENCON
Shili Xiang, Dong Huang, Xiaoli Li
2018 — conf
Attributed Network Embedding with Micro-meso Structure.
DASFAA (1)
Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen
2018 J jnl
Community Detection Using Attribute Homogenous Motif.
IEEE Access
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2018 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities.
CoRR
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2018 — conf
Ensemble Clustering by Noise-Aware Graph Decomposition.
ICIT
Man-Sheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang
2018 J jnl
Locally Weighted Ensemble Clustering.
IEEE Trans. Cybern.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2018 — conf
Low-Rank and Sparse Cross-Domain Recommendation Algorithm.
DASFAA (1)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang
2018 J jnl
TW-Co-
Knowl. Based Syst.
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou
2017 J jnl
CCMS: A nonlinear clustering method based on crowd movement and selection.
Neurocomputing
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang
2017 — conf
Community Detection in Graph Streams by Pruning Zombie Nodes.
PAKDD (1)
Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang
2017 — conf
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood.
IScIDE
Mei Li, Dong Huang, Bin Wei, Chang-Dong Wang
2017 — conf
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering.
ICONIP (5)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2017 J jnl
Multi-view collaborative locally adaptive clustering with Minkowski metric.
Expert Syst. Appl.
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng
2017 J jnl
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh
2016 — conf
An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce.
IPDPS Workshops
Xiang-You Peng, Yu-Bo Yang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2016 — conf
CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection.
Trustcom/BigDataSE/ISPA
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang
2016 J jnl
Ensemble clustering using factor graph.
Pattern Recognit.
Dong Huang, Jianhuang Lai, Chang-Dong Wang
2016 B conf
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
ICPR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
2016 J jnl
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
2016 J jnl
Ensembling over-segmentations: From weak evidence to strong segmentation.
Neurocomputing
Dong Huang, Jian-Huang Lai, Chang-Dong Wang, Pong C. Yuen
2016 B conf
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization.
IJCNN
Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang
2016 J jnl
Locally Weighted Ensemble Clustering.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2016 J jnl
Robust Ensemble Clustering Using Probability Trajectories.
CoRR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2016 J jnl
Robust Ensemble Clustering Using Probability Trajectories.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2016 — conf
Weighted Multi-view On-Line Competitive Clustering.
BigDataService
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Wei-Shi Zheng
2015 — conf
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy.
PAKDD (2)
Dong Huang, Shuguo Han, Xiaoli Li
2015 J jnl
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis.
Neurocomputing
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2015 B conf
Orthogonal mechanism for answering batch queries with differential privacy.
SSDBM
Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu
2014 J jnl
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis.
CoRR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2013 — conf
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble.
IScIDE
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2013 J jnl
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Jian-Huang Lai, Dong Huang, Wei-Shi Zheng
2012 B conf
Incremental support vector clustering with outlier detection.
ICPR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2011 — conf
Incremental Support Vector Clustering.
ICDM Workshops
Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2011 — conf
Kernel-Based Clustering with Automatic Cluster Number Selection.
ICDM Workshops
Chang-Dong Wang, Jian-Huang Lai, Dong Huang