A Conscience On-line Learning Approach for Kernel-Based Clustering. - Chang-Dong Wang 001; Jian-Huang Lai; Jun-Yong Zhu (ICDM, 2010)

NPDA/CS: Improved Non-parametric Discriminant Analysis with CS decomposition and its application to face recognition. - Qingsong Zeng; Changdong Wang 001 (ICIP, 2010)

Kernel-Based Clustering with Automatic Cluster Number Selection. - Chang-Dong Wang 001; Jian-Huang Lai; Dong Huang 001 (ICDM Workshops, 2011)

Incremental Support Vector Clustering. - Chang-Dong Wang 001; Jian-Huang Lai; Dong Huang 001 (ICDM Workshops, 2011)

A Novel Co-clustering Method with Intra-similarities. - Jian-Sheng Wu; Jian-Huang Lai; Chang-Dong Wang 001 (ICDM Workshops, 2011)

Energy based competitive learning. - Chang-Dong Wang 001; Jian-Huang Lai (Neurocomputing, 2011)

Incremental support vector clustering with outlier detection. - Dong Huang 001; Jian-Huang Lai; Chang-Dong Wang 001 (ICPR, 2012)

A new handwritten character segmentation method based on nonlinear clustering. - Jun Tan 001; Jian-Huang Lai; Chang-Dong Wang 001; Wen-Xian Wang; Xiao-Xiong Zuo (Neurocomputing, 2012)

Conscience online learning: an efficient approach for robust kernel-based clustering. - Chang-Dong Wang 001; Jian-Huang Lai; Jun-Yong Zhu (Knowl. Inf. Syst., 2012)

Graph-Based Multiprototype Competitive Learning and Its Applications. - Chang-Dong Wang 001; Jian-Huang Lai; Jun-Yong Zhu (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble. - Dong Huang 001; Jian-Huang Lai; Chang-Dong Wang 001 (IScIDE, 2013)

A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids. - Xiuchun Xiao; Jian-Huang Lai; Chang-Dong Wang 001 (IScIDE, 2013)

Dynamic Community Detection in Weighted Graph Streams. - Jian-Huang Lai; Chang-Dong Wang 001; Philip S. Yu (SDM, 2013)

Multi-Exemplar Affinity Propagation. - Chang-Dong Wang 001; Jian-Huang Lai; Ching Y. Suen; Jun-Yong Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Position regularized Support Vector Domain Description. - Chang-Dong Wang 001; Jian-Huang Lai (Pattern Recognit., 2013)

SVStream: A Support Vector-Based Algorithm for Clustering Data Streams. - Chang-Dong Wang 001; Jian-Huang Lai; Dong Huang 001; Wei-Shi Zheng 001 (IEEE Trans. Knowl. Data Eng., 2013)

Topic Detection in Instant Messages. - Han Zhang; Chang-Dong Wang 001; Jian-Huang Lai (ICMLA, 2014)

Parameter estimation of the exponentially damped sinusoids signal using a specific neural network. - Xiuchun Xiao; Jian-Huang Lai; Chang-Dong Wang 001 (Neurocomputing, 2014)

Stability-based preference selection in affinity propagation. - Dong-Wei Chen; Jian-Qiang Sheng; Jun-Jie Chen 001; Chang-Dong Wang 001 (Neural Comput. Appl., 2014)

Multi-local model image set matching based on domain description. - Qing-Song Zeng 001; Jian-Huang Lai; Chang-Dong Wang 001 (Pattern Recognit., 2014)

NEIWalk: Community Discovery in Dynamic Content-Based Networks. - Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2014)

HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance. - Wen-Qi Fan; Chang-Dong Wang 001; Yuan-Wei Chen; Jian-Huang Lai (BDCloud, 2015)

Pipeline Item-Based Collaborative Filtering Based on MapReduce. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Zi-Wei Huang; Jian-Huang Lai (BDCloud, 2015)

Research on the Intelligent Public Transportation System. - Yingkun Huang; Shaoshu Huang; Chang-Dong Wang 001; Dekai Kang; Wenkai Huang (CCBR, 2015)

Traveller: A Novel Tourism Platform for Students Based on Cloud Data. - Qi-Ying Hu; Chang-Dong Wang 001; Jia-Xin Hong; Meng-Zhe Hua; Di Huang (CollaborateCom, 2015)

Application for Party Based on Cloud Platform. - Huan Huang; Ling Huang 002; Chang-Dong Wang 001; Jie-Kai Huang; Yan-Jia Chen (FCST, 2015)

vPaaS Model for Amateurish Users in Cloud Computing. - Ying-Kun Huang; Chang-Dong Wang 001; De-Kai Kang; Chuan Jiang; Jian-Huang Lai (FCST, 2015)

Local Data Security and Privacy Protection in Cloud Service Applications. - Qi-Tao Lin; Chang-Dong Wang 001; Jing Pan; Lu Ling; Jian-Huang Lai (FCST, 2015)

An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment. - Wei-Tao Wen; Chang-Dong Wang 001; De-Shen Wu; Ying-Yan Xie (FCST, 2015)

Schedule Management Application 'WiDay' Based on SAE Cloud Platform. - Shuang Ye; Chang-Dong Wang 001; Kai-Chun Lin; Xin-Yi Lin; Xuebo Liu 004; Han-Chen Yu (FCST, 2015)

Server Consolidation Based on Hybrid Genetic Algorithm. - Juan Zha; Chang-Dong Wang 001; Qiu-Liang Chen; Xiao-Yan Lu; Jian-Huang Lai (FCST, 2015)

Music Sharing Platform Based on Sina App Engine. - Zhe-Yi Zhao; Chang-Dong Wang 001; Ping-Jun Zheng; Qian Gong; Kai-Wei Huang; Jian-Huang Lai (FCST, 2015)

Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis. - Dong Huang 001; Jian-Huang Lai; Chang-Dong Wang 001 (Neurocomputing, 2015)

Chinese-Tibetan bilingual clustering based on random walk. - Chengxu Ye; Wushao Wen; Chang-Dong Wang 001 (Neurocomputing, 2015)

A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus. - Pei-Zhen Li; Juan-Hui Li; Chang-Dong Wang 001 (BICS, 2016)

An efficient parallel topic-sensitive expert finding algorithm using spark. - Yao-Ming Yang; Chang-Dong Wang 001; Jian-Huang Lai (IEEE BigData, 2016)

Point of interest recommendation with social and geographical influence. - Da-Chuan Zhang; Mei Li; Chang-Dong Wang 001 (IEEE BigData, 2016)

SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance. - Wen-Qi Fan; Chang-Dong Wang 001; Jian-Huang Lai (BigDataService, 2016)

Weighted Multi-view On-Line Competitive Clustering. - Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001; Wei-Shi Zheng 001 (BigDataService, 2016)

Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai; Yun Liang 003; Shan Bian; Yu Chen (ICPR, 2016)

Modularity optimization by Global-Local Search. - Xun Wang; Chang-Dong Wang 001; Jian-Huang Lai (IJCNN, 2016)

FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Jian-Huang Lai; Dong Huang 001 (IJCNN, 2016)

An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce. - Xiang-You Peng; Yu-Bo Yang; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IPDPS Workshops, 2016)

CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection. - Chao Chen; Kun-Yu Lin; Chang-Dong Wang 001; Dong Huang 001 (Trustcom/BigDataSE/ISPA, 2016)

Community Detection in Complicated Network Based on the Multi-view Weighted Signed Permanence. - Juan-Hui Li; Pei-Zhen Li; Chang-Dong Wang 001; Jian-Huang Lai (Trustcom/BigDataSE/ISPA, 2016)

Online visual tracking via correlation filter with convolutional networks. - Zheng Li; Jianfei Yang; Juan Zha; Chang-Dong Wang 001; Wei-Shi Zheng 001 (VCIP, 2016)

Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective. - Han Zhang; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (CoRR, 2016)

Long-term revenue maximization pricing scheme for cloud. - Wenkai Huang; Chang-Dong Wang 001; Shaoshu Huang; Zheng Li; Jian-Huang Lai; Ling Huang 002 (Comput. Syst. Sci. Eng., 2016)

Ensembling over-segmentations: From weak evidence to strong segmentation. - Dong Huang 001; Jian-Huang Lai; Chang-Dong Wang 001; Pong C. Yuen (Neurocomputing, 2016)

Ensemble clustering using factor graph. - Dong Huang 001; Jianhuang Lai; Chang-Dong Wang 001 (Pattern Recognit., 2016)

Weighted Multi-view Clustering with Feature Selection. - Yu-Meng Xu; Chang-Dong Wang 001; Jian-Huang Lai (Pattern Recognit., 2016)

Robust Ensemble Clustering Using Probability Trajectories. - Dong Huang 001; Jian-Huang Lai; Chang-Dong Wang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Multi-View Clustering Based on Belief Propagation. - Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2016)

Multi-view Intact Space Clustering. - Ling Ling; Hong-Yang Chao; Chang-Dong Wang 001 (ACPR, 2017)

A Distributed Multi-exemplar Affinity Propagation Clustering Algorithm Based on MapReduce. - Yu-Bo Yang; Chang-Dong Wang 001; Jian-Huang Lai (BigDataService, 2017)

Missing Value Learning. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Kun-Yu Lin; Jian-Huang Lai (CIKM, 2017)

LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (ICONIP (5), 2017)

A Hybrid Approach for Recovering Information Propagational Direction. - Xiang-Rui Peng; Ling Huang 002; Chang-Dong Wang 001 (ICONIP (5), 2017)

Tinnitus EEG Classification Based on Multi-frequency Bands. - Shao-Ju Wang; Yue-Xin Cai; Zhi-Ran Sun; Chang-Dong Wang 001; Yi-Qing Zheng (ICONIP (4), 2017)

Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. - Yi-Ning Xu; Lei Xu; Ling Huang 002; Chang-Dong Wang 001 (ICONIP (5), 2017)

Low-Rank and Sparse Matrix Completion for Recommendation. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (ICONIP (5), 2017)

Weighted numerical and categorical attribute clustering in data streams. - Wen-Bin Liang; Chang-Dong Wang 001; Jian-Huang Lai (IJCNN, 2017)

Text clustering using enhanced PLSA with word correlation. - Qian Zuo; Chang-Dong Wang 001; Jian-Huang Lai (IJCNN, 2017)

Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation. - Man-Rui Li; Ling Huang 002; Chang-Dong Wang 001 (IScIDE, 2017)

Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood. - Mei Li; Dong Huang 001; Bin Wei; Chang-Dong Wang 001 (IScIDE, 2017)

Multi-view Unit Intact Space Learning. - Kun-Yu Lin; Chang-Dong Wang 001; Yu-Qin Meng; Zhi-Lin Zhao 001 (KSEM, 2017)

Community Detection in Graph Streams by Pruning Zombie Nodes. - Yue Ding; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (PAKDD (1), 2017)

Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai; Chee-Keong Kwoh 001 (CoRR, 2017)

Recommendation in feature space sphere. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Jian-Huang Lai (Electron. Commer. Res. Appl., 2017)

Multi-view collaborative locally adaptive clustering with Minkowski metric. - Guang-Yu Zhang; Chang-Dong Wang 001; Dong Huang 001; Wei-Shi Zheng 001 (Expert Syst. Appl., 2017)

CCMS: A nonlinear clustering method based on crowd movement and selection. - Chao Chen; Kun-Yu Lin; Chang-Dong Wang 001; Jian-Bo Liu; Dong Huang 001 (Neurocomputing, 2017)

An item orientated recommendation algorithm from the multi-view perspective. - Qi-Ying Hu; Zhi-Lin Zhao 001; Chang-Dong Wang 001; Jian-Huang Lai (Neurocomputing, 2017)

Overlapping Community Detection in Multi-view Brain Network. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (BIBM, 2018)

Multi-view Proximity Learning for Clustering. - Kun-Yu Lin; Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (DASFAA (2), 2018)

Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity. - Yi-Ming Wen; Chang-Dong Wang 001; Kun-Yu Lin (DASFAA (1), 2018)

Low-Rank and Sparse Cross-Domain Recommendation Algorithm. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2018)

dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. - He Huang 008; Bokai Cao; Philip S. Yu; Chang-Dong Wang 001; Alex D. Leow (ICDM, 2018)

A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (ICDM, 2018)

Ensemble Clustering by Noise-Aware Graph Decomposition. - Man-Sheng Chen; Dong Huang 001; Mingkai He; Chang-Dong Wang 001 (ICIT, 2018)

Stacked Discriminative Denoising Auto-encoder Based Recommender System. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (IScIDE, 2018)

Community Detection Using Attribute Homogenous Motif. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Access, 2018)

TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering. - Guang-Yu Zhang; Chang-Dong Wang 001; Dong Huang 001; Wei-Shi Zheng 001; Yu-Ren Zhou (Knowl. Based Syst., 2018)

Discriminative metric learning for multi-view graph partitioning. - Juan-Hui Li; Chang-Dong Wang 001; Pei-Zhen Li; Jian-Huang Lai (Pattern Recognit., 2018)

A Novel clustering method based on hybrid K-nearest-neighbor graph. - Yikun Qin; Zhu Liang Yu; Chang-Dong Wang 001; Zhenghui Gu; Yuanqing Li 001 (Pattern Recognit., 2018)

Locally Weighted Ensemble Clustering. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Cybern., 2018)

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. - Zhi-Hong Deng 002; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (AAAI, 2019)

Higher-Order Multi-Layer Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (AAAI, 2019)

Network embedding with class discriminability. - Zi-Hua Li; Ling Huang 002; Kai Wang 063; Chang-Dong Wang 001; Wei Shi; Dong Huang 001 (ACM TUR-C, 2019)

Generative Dual Adversarial Network for Generalized Zero-Shot Learning. - He Huang 008; Changhu Wang; Philip S. Yu; Chang-Dong Wang 001 (CVPR, 2019)

Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2019)

Relevance-Based Entity Embedding. - Weixin Zeng; Xiang Zhao 002; Jiuyang Tang; Jinzhi Liao; Chang-Dong Wang 001 (DASFAA (3), 2019)

Multi-view Outlier Detection in Deep Intact Space. - Yu-Xuan Ji; Ling Huang 002; Heng-Ping He; Chang-Dong Wang 001; Guangqiang Xie; Wei Shi; Kun-Yu Lin (ICDM, 2019)

Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. - Youwei Liang; Dong Huang 001; Chang-Dong Wang 001 (ICDM, 2019)

Constrained Matrix Factorization for Course Score Prediction. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (ICDM, 2019)

BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. - Wu-Dong Xi; Ling Huang 002; Chang-Dong Wang 001; Yin-Yu Zheng; Jianhuang Lai (IJCAI, 2019)

A Dynamic Model + BFR Algorithm for Streaming Data Sorting. - Yongwei Tan; Ling Huang 002; Chang-Dong Wang 001 (IScIDE (2), 2019)

EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (KDD, 2019)

A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. - Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao; Jian-Huang Lai; Philip S. Yu (IEEE Access, 2019)

PartNRL: Partial Nodes Representation Learning in Large-Scale Network. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Access, 2019)

Network Embedding via Community Based Variational Autoencoder. - Wei Shi; Ling Huang 002; Chang-Dong Wang 001; Juan-Hui Li; Yong Tang 001; Chengzhou Fu (IEEE Access, 2019)

Inter-Intra Information Preserving Attributed Network Embedding. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Yong Tang 001; Chengzhou Fu (IEEE Access, 2019)

A Distributed Consensus Protocol Based on Neighbor Selection Strategies for Multi-Agent Systems Convergence. - Guangqiang Xie; Tianxiang Lan; Xianbiao Hu; Yang Li 102; Chang-Dong Wang 001; Yuyu Yin (IEEE Access, 2019)

SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. - Kai Wang 063; Lei Xu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (Cogn. Syst. Res., 2019)

LSCD: Low-rank and sparse cross-domain recommendation. - Ling Huang 002; Zhi-Lin Zhao 001; Chang-Dong Wang 001; Dong Huang 001; Hong-Yang Chao (Neurocomputing, 2019)

Brain network analysis for auditory disease: A twofold study. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Chuan Li 002; Jian-Huang Lai (Neurocomputing, 2019)

Direction recovery in undirected social networks based on community structure and popularity. - Yi-Ming Wen; Ling Huang 002; Chang-Dong Wang 001; Kun-Yu Lin (Inf. Sci., 2019)

Community detection using multilayer edge mixture model. - Han Zhang; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (Knowl. Inf. Syst., 2019)

Establishment of rule dictionary for efficient XACML policy management. - Fan Deng 003; Liyong Zhang; Changyu Zhang; Hao Ban; Chang-Dong Wang 001; Minghao Shi; Chao Chen; Enti Zhang (Knowl. Based Syst., 2019)

Item orientated recommendation by multi-view intact space learning with overlapping. - Qi-Ying Hu; Ling Huang 002; Chang-Dong Wang 001; Hong-Yang Chao (Knowl. Based Syst., 2019)

Unsupervised feature selection with multi-subspace randomization and collaboration. - Dong Huang 001; Xiaosha Cai; Chang-Dong Wang 001 (Knowl. Based Syst., 2019)

Higher-Order Brain Network Analysis for Auditory Disease. - Pei-Zhen Li; Yue-Xin Cai; Chang-Dong Wang 001; Mao-Jin Liang; Yi-Qing Zheng (Neural Process. Lett., 2019)

Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG. - Zhi-Ran Sun; Yue-Xin Cai; Shao-Ju Wang; Chang-Dong Wang 001; Yi-Qing Zheng; Yan-Hong Chen; Yu-Chen Chen (Neural Process. Lett., 2019)

Multi-view intact space clustering. - Ling Huang 002; Hong-Yang Chao; Chang-Dong Wang 001 (Pattern Recognit., 2019)

Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering. - Chang-Dong Wang 001; Zhi-Hong Deng 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Cybern., 2019)

Multi-View Clustering in Latent Embedding Space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (AAAI, 2020)

SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. - Huidi Chen; Yun Xiong; Changdong Wang 001; Yangyong Zhu; Wei Wang 010 (DASFAA (3), 2020)

Latent Space Clustering via Dual Discriminator GAN. - Heng-Ping He; Pei-Zhen Li; Ling Huang 002; Yu-Xuan Ji; Chang-Dong Wang 001 (DASFAA (1), 2020)

Graph Pooling with Representativeness. - Juan-Hui Li; Yao Ma 001; Yiqi Wang 001; Charu C. Aggarwal; Chang-Dong Wang 001; Jiliang Tang (ICDM, 2020)

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. - Xiaosha Cai; Dong Huang 001; Chang-Dong Wang 001; Chee-Keong Kwoh 001 (PAKDD (1), 2020)

One-step Kernel Multi-view Subspace Clustering. - Guang-Yu Zhang; Yu-Ren Zhou; Xiaoyu He 001; Chang-Dong Wang 001; Dong Huang 001 (Knowl. Based Syst., 2020)

Community Detection by Motif-Aware Label Propagation. - Pei-Zhen Li; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Dong Huang 001 (ACM Trans. Knowl. Discov. Data, 2020)

Ultra-Scalable Spectral Clustering and Ensemble Clustering. - Dong Huang 001; Chang-Dong Wang 001; Jian-Sheng Wu; Jian-Huang Lai; Chee-Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2020)

MVStream: Multiview Data Stream Clustering. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Hybrid-order Stochastic Block Model. - Xunxun Wu; Chang-Dong Wang 001; Pengfei Jiao (AAAI, 2021)

Consistency- and Inconsistency-Aware Multi-view Subspace Clustering. - Guang-Yu Zhang; Xiao-Wei Chen; Yu-Ren Zhou; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (2), 2021)

StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. - Wen-Zhi Li; Ling Huang 002; Chang-Dong Wang 001; Yuxin Ye (ICDM, 2021)

PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. - Jing Wen; Bi-Yi Chen; Chang-Dong Wang 001; Zhihong Tian (ICDM, 2021)

Attention-based Multi-proximity Preserved Attributed Network Embedding. - Xing-Xing Liu; Kai Wang 063; Chang-Dong Wang 001; Ling Huang 002 (IJCNN, 2021)

Session-based Recommendation with Heterogeneous Graph Neural Networks. - Lei Xu; Wu-Dong Xi; Chang-Dong Wang 001 (IJCNN, 2021)

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. - Zi-Yuan Hu; Jin Huang; Zhi-Hong Deng 002; Chang-Dong Wang 001; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (CoRR, 2021)

Joint representation learning for multi-view subspace clustering. - Guang-Yu Zhang; Yu-Ren Zhou; Chang-Dong Wang 001; Dong Huang 001; Xiaoyu He 001 (Expert Syst. Appl., 2021)

Relaxed multi-view clustering in latent embedding space. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (Inf. Fusion, 2021)

oComm: Overlapping Community Detection in Multi-View Brain Network. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Adaptively Weighted Multiview Proximity Learning for Clustering. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Suohai Fan; Philip S. Yu (IEEE Trans. Cybern., 2021)

AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. - Guangqiang Xie; Runpeng Zhang; Yang Li 102; Ling Huang 002; Chang-Dong Wang 001; Hao Yang 024; Jiahao Liang (IEEE Trans. Ind. Informatics, 2021)

Temporal Hierarchical Graph Attention Network for Traffic Prediction. - Ling Huang 002; Xing-Xing Liu; Shu-Qiang Huang; Chang-Dong Wang 001; Wei Tu 001; Jia-Meng Xie; Shuai Tang; Wendi Xie (ACM Trans. Intell. Syst. Technol., 2021)

Attributed Network Embedding with Micro-Meso Structure. - Juan-Hui Li; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Pei Chen 001 (ACM Trans. Knowl. Discov. Data, 2021)

HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. - Ling Huang 002; Chang-Dong Wang 001; Hongyang Chao (IEEE Trans. Knowl. Data Eng., 2021)

Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. - Chang-Dong Wang 001; Man-Sheng Chen; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. - Dong Huang 001; Chang-Dong Wang 001; Hongxing Peng; Jianhuang Lai; Chee-Keong Kwoh 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems. - Xiuchun Xiao; Neal N. Xiong; Jianhuang Lai; Chang-Dong Wang 001; Zhenan Sun; Jingwen Yan (IEEE Trans. Syst. Man Cybern. Syst., 2021)

D-TRACE: Deep Triply-Aligned Clustering. - Ding-Hua Chen; Dong Huang 001; Haiyan Cheng; Chang-Dong Wang 001 (ICANN (1), 2022)

A Bi-directional Recommender System for Online Recruitment. - Zhe-Rui Yang; Zhenyu He 009; Chang-Dong Wang 001; Pei-Yuan Lai; De-Zhang Liao; Zhong-Zheng Wang (ICDM, 2022)

Efficient Orthogonal Multi-view Subspace Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Philip S. Yu (KDD, 2022)

Adaptively-weighted Integral Space for Fast Multiview Clustering. - Man-Sheng Chen; Tuo Liu; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (ACM Multimedia, 2022)

Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation. - Ting-Ting Su; Zhenyu He 009; Man-Sheng Chen; Chang-Dong Wang 001 (ECML/PKDD (1), 2022)

Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (PRCV (2), 2022)

Kernelized multi-view subspace clustering via auto-weighted graph learning. - Guang-Yu Zhang; Xiao-Wei Chen; Yu-Ren Zhou; Chang-Dong Wang 001; Dong Huang 001; Xiao-Yu He (Appl. Intell., 2022)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. - Ling Huang 002; Can-Rong Guan; Zhen-Wei Huang; Yuefang Gao; Yingjie Kuang; Chang-Dong Wang 001; C. L. Philip Chen (CoRR, 2022)

DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks. - Dong Huang 001; Ding-Hua Chen; Xiangji Chen; Chang-Dong Wang 001; Jian-Huang Lai (CoRR, 2022)

Multi-party Secure Broad Learning System for Privacy Preserving. - Xiao-Kai Cao; Chang-Dong Wang 001; Jian-Huang Lai; Qiong Huang 001; C. L. Philip Chen (CoRR, 2022)

Vision Transformer for Contrastive Clustering. - Hua-Bao Ling; Bowen Zhu; Dong Huang 001; Ding-Hua Chen; Chang-Dong Wang 001; Jian-Huang Lai (CoRR, 2022)

Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. - Yuankun Xu; Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (CoRR, 2022)

Dual Information Enhanced Multi-view Attributed Graph Clustering. - Jia-Qi Lin; Man-Sheng Chen; Xi-Ran Zhu; Chang-Dong Wang 001; Haizhang Zhang (CoRR, 2022)

Representation Learning in Multi-view Clustering: A Literature Review. - Man-Sheng Chen; Jia-Qi Lin; Xiang-Long Li; Bao-Yu Liu; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (Data Sci. Eng., 2022)

GHOC: A generative model for hybrid-order community detection. - Ling Huang 002; Yong Tang 001; Chengzhou Fu; Jinfeng Wang 003; Chang-Dong Wang 001 (Int. J. Intell. Syst., 2022)

Fast distributed consensus seeking in large-scale and high-density multi-agent systems with connectivity maintenance. - Guangqiang Xie; Haoran Xu 004; Yang Li 102; Xianbiao Hu; Chang-Dong Wang 001 (Inf. Sci., 2022)

A framework for personalized recommendation with conditional generative adversarial networks. - Jing Wen; Xi-Ran Zhu; Chang-Dong Wang 001; Zhihong Tian (Knowl. Inf. Syst., 2022)

DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. - Ling Huang 002; Bi-Yi Chen; Hai-Yi Ye; Ronghua Lin; Yong Tang 001; Min Fu; Jianyi Huang; Chang-Dong Wang 001 (Knowl. Based Syst., 2022)

A Model-Bias Matrix Factorization Approach for Course Score Prediction. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jianhuang Lai; Guangqiang Xie; Yang Li 102 (Neural Process. Lett., 2022)

Multiview Subspace Clustering With Grouping Effect. - Man-Sheng Chen; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai; Chee Keong Kwoh 001 (IEEE Trans. Cybern., 2022)

Node Pair Information Preserving Network Embedding Based on Adversarial Networks. - Chang-Dong Wang 001; Wei Shi; Ling Huang 002; Kun-Yu Lin; Dong Huang 001; Philip S. Yu (IEEE Trans. Cybern., 2022)

An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. - Shi-Ting Zhong; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Cybern., 2022)

Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. - Yan-Hui Chen; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Ind. Informatics, 2022)

Application of Convolutional Neural Network and Data Preprocessing by Mutual Dimensionless and Similar Gram Matrix in Fault Diagnosis. - Jianbin Xiong; Chunlin Li 006; Chang-Dong Wang 001; Jian Cen; Qi Wang 030; Shuize Wang (IEEE Trans. Ind. Informatics, 2022)

Multi-View Consensus Proximity Learning for Clustering. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

A BP Neural Network Based Recommender Framework With Attention Mechanism. - Chang-Dong Wang 001; Wu-Dong Xi; Ling Huang 002; Yin-Yu Zheng; Zi-Yuan Hu; Jian-Huang Lai (IEEE Trans. Knowl. Data Eng., 2022)

Deep Rating and Review Neural Network for Item Recommendation. - Wu-Dong Xi; Ling Huang 002; Chang-Dong Wang 001; Yin-Yu Zheng; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2022)

Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. - Chang-Dong Wang 001; Yan-Hui Chen; Wu-Dong Xi; Ling Huang 002; Guangqiang Xie (IEEE Trans. Syst. Man Cybern. Syst., 2022)

ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. - Haijun Zhao; Ronghai Xu; Chang-Dong Wang 001; Ying Jiang 002 (ADMA (1), 2023)

ALGCN: Accelerated Light Graph Convolution Network for Recommendation. - Ronghai Xu; Haijun Zhao; Zhi-Yuan Li; Chang-Dong Wang 001 (DASFAA (2), 2023)

Hypergraph Attribute Attention Network for Community Recommendation. - Kang Li; Wu-Dong Xi; Xing-Xing Xing; Chang-Dong Wang 001 (ICDM, 2023)

Auto Graph Filtering for Bundle Recommendation. - Xiang-Long Li; Wu-Dong Xi; Xing-Xing Xing; Chang-Dong Wang 001 (ICDM, 2023)

Telecom Fraud Detection Based on Feature Binning and Autoencoder. - Fei-Yao Liang; Fei-Peng Li; Ronghai Xu; Wei Cheng; Shi-Xian Deng; Zhe-Rui Yang; Chang-Dong Wang 001 (ICDM, 2023)

PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. - Yi-Hong Lu; Chang-Dong Wang 001; Pei-Yuan Lai; Jian-Huang Lai (ICDM, 2023)

MCRec: Multi-channel Gated Gifts Recommendation. - Ting-Ting Su; Wu-Dong Xi; Xing-Xing Xing; Chang-Dong Wang 001 (ICDM, 2023)

GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. - Wen-Zhi Li; Chang-Dong Wang 001; Hui Xiong 001; Jian-Huang Lai (KDD, 2023)

HomoGCL: Rethinking Homophily in Graph Contrastive Learning. - Wen-Zhi Li; Chang-Dong Wang 001; Hui Xiong 001; Jian-Huang Lai (KDD, 2023)

On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. - Man-Sheng Chen; Jia-Qi Lin; Chang-Dong Wang 001; Wudong Xi; Dong Huang 001 (ACM Multimedia, 2023)

Knowledge Prompt-tuning for Sequential Recommendation. - Jianyang Zhai; Xiawu Zheng; Chang-Dong Wang 001; Hui Li 057; Yonghong Tian 001 (ACM Multimedia, 2023)

Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. - Kang Li; Chang-Dong Wang 001; Jian-Huang Lai; Huaqiang Yuan (WSDM, 2023)

One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering. - Si-Guo Fang; Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (CoRR, 2023)

Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. - Zi-Feng Mai; Chang-Dong Wang 001; Zhongjie Zeng; Ya Li; Jiaquan Chen; Philip S. Yu (CoRR, 2023)

Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. - Xiaosha Cai; Dong Huang 001; Guang-Yu Zhang; Chang-Dong Wang 001 (Inf. Fusion, 2023)

Facilitated low-rank multi-view subspace clustering. - Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001 (Knowl. Based Syst., 2023)

Multiview Clustering via Proximity Learning in Latent Representation Space. - Bao-Yu Liu; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Consensus enhancement for multi-agent systems with rotating-segmentation perception. - Guangqiang Xie; Haoran Xu 004; Yang Li 102; Xianbiao Hu; Chang-Dong Wang 001 (Appl. Intell., 2023)

Adversarial Spam Detector With Character Similarity Network. - Yan-Hui Chen; Ling Huang 002; Chang-Dong Wang 001; Min Fu; Shu-Qiang Huang; Jianyi Huang; Youwei Tan; Chenfan Yan (IEEE Trans. Ind. Informatics, 2023)

Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. - Ling Huang 002; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Cybern., 2023)

Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. - Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Knowl. Data Eng., 2023)

Strongly augmented contrastive clustering. - Xiaozhi Deng; Dong Huang 001; Ding-Hua Chen; Chang-Dong Wang 001; Jian-Huang Lai (Pattern Recognit., 2023)

Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning. - Chang-Dong Wang 001; Xi-Ran Zhu; Xueqing Zhou; Jiahong Li; Liping Lan; Dong Huang 001; Yiqing Zheng; Yue-Xin Cai (IEEE J. Biomed. Health Informatics, 2023)

Explicit Message-Passing Heterogeneous Graph Neural Network. - Lei Xu; Zhenyu He 009; Kai Wang 063; Chang-Dong Wang 001; Shu-Qiang Huang (IEEE Trans. Knowl. Data Eng., 2023)

Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. - Zhi-Yuan Li; Man-Sheng Chen; Yuefang Gao; Chang-Dong Wang 001 (Data Sci. Eng., 2023)

KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation. - Chao Chang 002; Junming Zhou; Yu Weng; Xiangwei Zeng; Zhengyang Wu 001; Chang-Dong Wang 001; Yong Tang 001 (Knowl. Based Syst., 2023)

Heterogeneous Tri-stream Clustering Network. - Xiaozhi Deng; Dong Huang 001; Chang-Dong Wang 001 (Neural Process. Lett., 2023)

Multi-Information Preprocessing Event Extraction With BiLSTM-CRF Attention for Academic Knowledge Graph Construction. - Chao Chang 002; Yong Tang 001; Yongxu Long; Kun Hu; Ying Li; Jianguo Li; Chang-Dong Wang 001 (IEEE Trans. Comput. Soc. Syst., 2023)

Multiparty Secure Broad Learning System for Privacy Preserving. - Xiao-Kai Cao; Chang-Dong Wang 001; Jian-Huang Lai; Qiong Huang 001; C. L. Philip Chen (IEEE Trans. Cybern., 2023)

HOLT-Net: Detecting smokers via human-object interaction with lite transformer network. - Hua-Bao Ling; Dong Huang 001; Jinrong Cui; Chang-Dong Wang 001 (Eng. Appl. Artif. Intell., 2023)

Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Knowl. Data Eng., 2023)

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. - Pengfei Jiao; Tianpeng Li; Huaming Wu; Chang-Dong Wang 001; Dongxiao He; Wenjun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Deep Temporal Contrastive Clustering. - Ying Zhong; Dong Huang 001; Chang-Dong Wang 001 (Neural Process. Lett., 2023)

Hybrid-Order Anomaly Detection on Attributed Networks. - Ling Huang 002; Ye Zhu; Yuefang Gao; Tuo Liu; Chao Chang 002; Caixing Liu; Yong Tang 001; Chang-Dong Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

G3SR: Global Graph Guided Session-Based Recommendation. - Zhi-Hong Deng 002; Chang-Dong Wang 001; Ling Huang 002; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Knowledge-Aware Explainable Reciprocal Recommendation. - Kai-Huang Lai; Zhe-Rui Yang; Pei-Yuan Lai; Chang-Dong Wang 001; Mohsen Guizani; Min Chen 003 (AAAI, 2024)

OR3S: Organized R&D Resource Recommendation System Based on Task-Driven and Knowledge Graph Pre-training. - Pei-Yuan Lai; Yu-Xuan Zhou; Cheng Li; Shi-Yu Liu; Xiao-Dong Liao; De-Zhang Liao; Chang-Dong Wang 001 (DASFAA (7), 2024)

GPSR: Graph Prompt for Session-Based Recommendation. - Cheng Li; Pei-Yuan Lai; Yi-Hong Lu; De-Zhang Liao; Xiao-Dong Huang; Chang-Dong Wang 001 (DASFAA (6), 2024)

Resource Optimized Network Virtualization Empowered Metaverse for Wireless Networks. - Latif U. Khan; Mohsen Guizani; Chang-Dong Wang 001; Di Wu 001 (ICC, 2024)

HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. - Man-Sheng Chen; Xiaosha Cai; Chang-Dong Wang 001; Dong Huang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion. - Kai-Huang Lai; Wu-Dong Xi; Xing-Xing Xing; Wei Wan; Chang-Dong Wang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. - Ru-Bin Li; Man-Sheng Chen; Xin-Yu Ding; Changdong Wang 001; Sihong Xie; Shuangyin Liu; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Contrastive Learning for Adapting Language Model to Sequential Recommendation. - Fei-Yao Liang; Wu-Dong Xi; Xing-Xing Xing; Wei Wan; Chang-Dong Wang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Cross-Store Next-Basket Recommendation. - Liang-Chen Ma; Ya Li; Zi-Feng Mai; Fei-Yao Liang; Chang-Dong Wang 001; Min Chen 003; Mohsen Guizani (ICDM, 2024)

Confidence-oriented Contrastive Graph Clustering. - Yan-Di Huang; Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001; Yang Liu; Enbo Huang (IJCNN, 2024)

Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning. - Cheng Li; Pei-Yuan Lai; Yu-Xuan Zhou; Chang-Dong Wang 001 (IWCMC, 2024)

Resource-Aware Split Federated Learning for Fall Detection in the Metaverse. - Mohamad Wazzeh; Ahmad Hammoud; Mohsen Guizani; Azzam Mourad; Hadi Otrok; Chamseddine Talhi; Zbigniew Dziong; Chang-Dong Wang 001 (WiMob, 2024)

Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation. - Xiao-Kai Cao; Wenjin Mo; Chang-Dong Wang 001; Jian-Huang Lai; Qiong Huang 001 (CoRR, 2024)

PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols. - Xiao-Kai Cao; Wenjin Mo; Zhenyu He 009; Changdong Wang 001 (CoRR, 2024)

Sparse K-means clustering algorithm with anchor graph regularization. - Xiaojun Yang; Weihao Zhao; Yuxiong Xu; Chang-Dong Wang 001; Bin Li; Feiping Nie 001 (Inf. Sci., 2024)

Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph. - Fangyuan Lei; Jiahao Huang; Jianjian Jiang; Da Huang; Zhengming Li; Chang-Dong Wang 001 (Knowl. Based Syst., 2024)

Knowledge-reinforced explainable next basket recommendation. - Ling Huang 002; Han Zou; Xiao-Dong Huang; Yuefang Gao; Yingjie Kuang; Chang-Dong Wang 001 (Neural Networks, 2024)

MIGP: Metapath Integrated Graph Prompt Neural Network. - Pei-Yuan Lai; Qing-Yun Dai; Yi-Hong Lu; Zeng-Hui Wang; Man-Sheng Chen; Chang-Dong Wang 001 (Neural Networks, 2024)

Tensorized Incomplete Multi-view Kernel Subspace Clustering. - Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001 (Neural Networks, 2024)

An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder. - Xiangmin Luo; Ziwei Chen; Da Huang; Fangyuan Lei; Chang-Dong Wang 001; Iman Yi Liao (IEEE Trans. Instrum. Meas., 2024)

Post-Distillation via Neural Resuscitation. - Zhiqiang Bao; Zihao Chen; Chang-Dong Wang 001; Wei-Shi Zheng 001; Zhenhua Huang 001; Yunwen Chen (IEEE Trans. Multim., 2024)

Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. - Ting-Ting Su; Chang-Dong Wang 001; Wudong Xi; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Deep image clustering with contrastive learning and multi-scale graph convolutional networks. - Yuankun Xu; Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (Pattern Recognit., 2024)

Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. - Jinghuan Lao; Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Big Data, 2024)

A Tensor Approach for Uncoupled Multiview Clustering. - Jia-Qi Lin; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Cybern., 2024)

Joint Multi-View Unsupervised Feature Selection and Graph Learning. - Si-Guo Fang; Dong Huang 001; Chang-Dong Wang 001; Yong Tang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization. - Yue Zhang 045; Sirui Yang; Weitian Huang; Chang-Dong Wang 001; Hongmin Cai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Connectivity-preserving rendezvous in discrete-time multi-agent systems via relative neighborhood proximity graph. - Guangqiang Xie; Biwei Zhong; Haoran Xu 004; Yang Li 102; Xianbiao Hu; Chang-Dong Wang 001 (Trans. Inst. Meas. Control, 2024)

Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. - Wen-Zhi Li; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Refining Graph Structure for Incomplete Multi-View Clustering. - Xiang-Long Li; Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. - Youwei Liang; Dong Huang 001; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment. - Pei-Yuan Lai; Zhe-Rui Yang; Qing-Yun Dai; De-Zhang Liao; Chang-Dong Wang 001 (Knowl. Inf. Syst., 2024)

Collaborative Meta-Path Modeling for Explainable Recommendation. - Zhe-Rui Yang; Zhenyu He 009; Chang-Dong Wang 001; Jian-Huang Lai; Zhihong Tian (IEEE Trans. Comput. Soc. Syst., 2024)

DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. - Dong Huang 001; Ding-Hua Chen; Xiangji Chen; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering. - Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Time-Aware Multibehavior Contrastive Learning for Social Recommendation. - Chuyuan Wei; Chuanhao Hu; Chang-Dong Wang 001; Shuqiang Huang (IEEE Trans. Ind. Informatics, 2024)

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. - Jia-Qi Lin; Xiang-Long Li; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. - Xiao-Kai Cao; Man-Sheng Chen; Chang-Dong Wang 001; Jian-Huang Lai; Qiong Huang 001; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. - Ling Huang 002; Can-Rong Guan; Zhen-Wei Huang; Yuefang Gao; Chang-Dong Wang 001; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. - Si-Guo Fang; Dong Huang 001; Xiaosha Cai; Chang-Dong Wang 001; Chaobo He; Yong Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-view Heterogeneous Graph Neural Networks for Node Classification. - Xi Zeng; Fangyuan Lei; Chang-Dong Wang 001; Qing-Yun Dai (Data Sci. Eng., 2024)

MuSAM: Mutual-Scenario-Aware Multimodal-Enhanced Representation Learning for Semantic Similarity. - Pei-Yuan Lai; Qing-Yun Dai; De-Zhang Liao; Zeng-Hui Wang; Chang-Dong Wang 001 (IEEE Trans. Ind. Informatics, 2024)

ER-GET: Emotion Recognition Based on Global ECG Trajectory. - Ya Li; Runxi Tan; Tianxin Lin; Qing Liu 018; Chang-Dong Wang 001; Min Chen 003 (IEEE J. Biomed. Health Informatics, 2024)

Online Feature Selection With Varying Feature Spaces. - Shengda Zhuo; Jin-Jie Qiu; Chang-Dong Wang 001; Shu-Qiang Huang (IEEE Trans. Knowl. Data Eng., 2024)

Motif-Based Contrastive Learning for Community Detection. - Xunxun Wu; Chang-Dong Wang 001; Jia-Qi Lin; Wudong Xi; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Community Enhanced Knowledge Graph for Recommendation. - Zhenyu He 009; Chang-Dong Wang 001; Jinfeng Wang 003; Jian-Huang Lai; Yong Tang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning. - Dong Huang 001; Xiaozhi Deng; Ding-Hua Chen; Zihao Wen; Weijun Sun; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Circuits Syst. Video Technol., 2024)

Sparse Graph Tensor Learning for Multi-View Spectral Clustering. - Man-Sheng Chen; Zhi-Yuan Li; Jia-Qi Lin; Chang-Dong Wang 001; Dong Huang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Concept Factorization Based Multiview Clustering for Large-Scale Data. - Man-Sheng Chen; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Consensus Seeking in Large-Scale Multiagent Systems With Hierarchical Switching-Backbone Topology. - Guangqiang Xie; Haoran Xu 004; Yang Li 102; Chang-Dong Wang 001; Biwei Zhong; Xianbiao Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Pupil localization algorithm based on lightweight convolutional neural network. - Jianbin Xiong; Zhenhao Zhang; Changdong Wang 001; Jian Cen; Qi Wang 030; Jinji Nie (Vis. Comput., 2024)

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. - Senzhang Wang; Changdong Wang 001; Di Jin 001; Shirui Pan; Philip S. Yu (IEEE Trans. Big Data, 2024)

Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. - Guangqiang Xie; Haoran Xu 004; Jiyuan Xu; Shupeng Zhao; Yang Li 102; Chang-Dong Wang 001; Xianbiao Hu; Yonghong Tian 001 (IEEE Trans. Knowl. Data Eng., 2024)

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (AAAI, 2025)

Learning Transition Patterns by Large Language Models for Sequential Recommendation. - Jianyang Zhai; Zi-Feng Mai; Dongyi Zheng; Chang-Dong Wang 001; Xiawu Zheng; Hui Li 057; Feidiao Yang; Yonghong Tian 001 (COLING, 2025)

Online Feature Selection with Varying Feature Spaces (Extended Abstract). - Shengda Zhuo; Jin-Jie Qiu; Chang-Dong Wang 001; Shuqiang Huang (ICDE, 2025)

Multi-scale Multi-order Attributed Graph Clustering. - Qi Zhang; Guangyu Zhang; Dong Huang 001; Chang-Dong Wang 001; Haiyan Wang (ICIC (9), 2025)

Multimodal Quantitative Language for Generative Recommendation. - Jianyang Zhai; Zi-Feng Mai; Chang-Dong Wang 001; Feidiao Yang; Xiawu Zheng; Hui Li 057; Yonghong Tian 001 (ICLR, 2025)

Supervised Learning Assisted by Text-Guided Attention for Ards Prediction. - Guangwei Zhang 006; Leqi Zheng; Hongyi Chen; Changdong Wang 001 (ISBI, 2025)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (KDD (1), 2025)

A pilot study for virus-induced neural network remodeling in sudden hearing loss and tinnitus: A graph attention network approach. - Chanmei Fang; Canming Cui; Chang-Dong Wang 001; Jiahong Li; Weiwei Cai; Hongyi Chen; Man-Sheng Chen; Jae-Jin Song; Yu-Chen Chen; Yuexin Cai; Maojin Liang (Comput. Biol. Medicine, 2025)

Dynamic Split Federated Learning for resource-constrained IoT systems. - Mohamad Wazzeh; Ahmad Hammoud; Azzam Mourad; Hadi Otrok; Chamseddine Talhi; Zbigniew Dziong; Changdong Wang 001; Mohsen Guizani (Comput. Commun., 2025)

Towards multi-fusion graph neural network for single-cell RNA sequence clustering. - Chen-Min Yang; Dong Huang 001; Yuankun Xu; Xiuting He; Guang-Yu Zhang; Chang-Dong Wang 001 (Neurocomputing, 2025)

Triplets-based large-scale multi-view spectral clustering. - Tianchuan Yang; Chang-Dong Wang 001; Jipeng Guo 001; Xiangcheng Li 001; Man-Sheng Chen; Shuping Dang; Haiqiang Chen (Inf. Fusion, 2025)

Cross-domain recommendation via knowledge distillation. - Xiuze Li; Zhenhua Huang 001; Zhengyang Wu 001; Chang-Dong Wang 001; Yunwen Chen (Knowl. Based Syst., 2025)

Scalable tri-factorization guided multi-view subspace clustering. - Guang-Yu Zhang; Chang-Bin Guan; Dong Huang 001; Zihao Wen; Chang-Dong Wang 001; Lei Xiao (Knowl. Based Syst., 2025)

Motif-aware curriculum learning for node classification. - Xiaosha Cai; Man-Sheng Chen; Chang-Dong Wang 001; Haizhang Zhang (Neural Networks, 2025)

Interaction-knowledge semantic alignment for recommendation. - Zhenyu He 009; Jia-Qi Lin; Chang-Dong Wang 001; Mohsen Guizani (Neural Networks, 2025)

Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation. - Xiuze Li; Zhenhua Huang 001; Changdong Wang 001; Yunwen Chen (Neural Networks, 2025)

Enhancing partition distinction: A contrastive policy to recommendation unlearning. - Lin Li 074; Shengda Zhuo; Hongguang Lin; Jinchun He; Wangjie Qiu; Qinnan Zhang; Chang-Dong Wang 001; Shuqiang Huang (Neural Networks, 2025)

Pyramid contrastive learning for clustering. - Zi-Feng Zhou; Dong Huang 001; Chang-Dong Wang 001 (Neural Networks, 2025)

A complementary dual model for weakly supervised salient object detection. - Liyuan Chen; Dawei Zhang 002; Xiao Wang 014; Chang-Dong Wang 001; Shan Jin; Zhonglong Zheng (Pattern Recognit., 2025)

Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning. - Xianxian Xia; Dong Huang 001; Chen-Min Yang; Chaobo He; Chang-Dong Wang 001 (IEEE Signal Process. Lett., 2025)

Online Learning for Noisy Labeled Streams. - Jin-Jie Qiu; Shengda Zhuo; Philip S. Yu; Chang-Dong Wang 001; Shuqiang Huang (ACM Trans. Knowl. Discov. Data, 2025)

WFSL: Warmup-Based Federated Sequential Learning. - Mohamad Arafeh; Ahmad Hammoud; Mohsen Guizani; Azzam Mourad; Hadi Otrok; Hakima Ould-Slimane; Zbigniew Dziong; Chang-Dong Wang 001; Di Wu 001 (IEEE Internet Things J., 2025)

Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. - Jintang Bian; Xiaohua Xie; Chang-Dong Wang 001; Lingxiao Yang; Jian-Huang Lai; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2025)

Gray Learning From Non-IID Data With Out-of-Distribution Samples. - Zhi-Lin Zhao 001; Longbing Cao; Chang-Dong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning. - Shengda Zhuo; Jiwang Fang; Hongguang Lin; Yin Tang; Min Chen 003; Chang-Dong Wang 001; Shuqiang Huang (CoRR, 2025)

PLSRP: prompt learning for send-receive path prediction. - Qi Wei; Yi-Hong Lu; Dan Du; Huan-Tao Cai; Pei-Yuan Lai; Chang-Dong Wang 001 (Int. J. Mach. Learn. Cybern., 2025)

MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation. - Pei-Yuan Lai; Qing-Yun Dai; De-Zhang Liao; Zhe-Rui Yang; Xiao-Dong Liao; Chang-Dong Wang 001; Min Chen 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation. - Chuyuan Wei; Baojie Yuan; Chuanhao Hu; Jinzhe Li; Chang-Dong Wang 001; Mohsen Guizani (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

LKAN: LLM-Based Knowledge-Aware Attention Network for Clinical Staging of Liver Cancer. - Ya Li; Xuecong Zheng; Jiaping Li; Qingyun Dai; Chang-Dong Wang 001; Min Chen 003 (IEEE J. Biomed. Health Informatics, 2025)

Interpretable Staging Prediction of Liver Cancer Based on Joint-Knowledge Network. - Xuecong Zheng; Ya Li; Zhiqi Wu; Yiyang Tang; Pei-Yuan Lai; Man-Sheng Chen; Hongyi Chen; Chang-Dong Wang 001; Jiaping Li; Qingyun Dai (IEEE J. Biomed. Health Informatics, 2025)

Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders. - Man-Sheng Chen; Xi-Ran Zhu; Jia-Qi Lin; Chang-Dong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dual Information Enhanced Multiview Attributed Graph Clustering. - Jia-Qi Lin; Man-Sheng Chen; Xi-Ran Zhu; Chang-Dong Wang 001; Haizhang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural Networks. - Kang Liu 002; Zhenhua Huang 001; Chang-Dong Wang 001; Beibei Gao; Yunwen Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network. - Yuankun Xu; Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Artif. Intell., 2025)

Multilevel Contrastive Multiview Clustering With Dual Self-Supervised Learning. - Jintang Bian; Yixiang Lin; Xiaohua Xie; Chang-Dong Wang 001; Lingxiao Yang; Jian-Huang Lai; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning. - Chuyuan Wei; Shun-Yao Liu; Shengda Zhuo; Chang-Dong Wang 001; Shu-Qiang Huang; Mohsen Guizani (CoRR, 2025)

Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT. - Jiale Chen; Shengda Zhuo; Jinchun He; Wangjie Qiu; Qinnan Zhang; Zehui Xiong; Zhiming Zheng 001; Yin Tang; Min Chen 003; Chang-Dong Wang 001; Shuqiang Huang (IEEE Internet Things J., 2025)

Graph Prompt Clustering. - Man-Sheng Chen; Pei-Yuan Lai; De-Zhang Liao; Chang-Dong Wang 001; Jian-Huang Lai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

"Pre-Train, Prompt" Framework to Boost Graph Neural Networks Performance in EEG Analysis. - Canming Cui; Hongyi Chen; Man-Sheng Chen; Jiahong Li; Zhaopeng Tong; Chanmei Fang; Chang-Dong Wang 001; Yuexin Cai (IEEE J. Biomed. Health Informatics, 2025)

Knowledge-Reinforced Cross-Domain Recommendation. - Ling Huang 002; Dong Huang 001; Han Zou; Yuefang Gao; Chang-Dong Wang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Large-Scale Tensorized Multi-View Kernel Subspace Clustering. - Guang-Yu Zhang; Dong Huang 001; Chang-Dong Wang 001 (ACM Trans. Intell. Syst. Technol., 2025)

Contrastive Ensemble Clustering. - Man-Sheng Chen; Jia-Qi Lin; Chang-Dong Wang 001; Dong Huang 001; Jian-Huang Lai (IEEE Trans. Neural Networks Learn. Syst., 2025)