Exemplars-Constraints for Semi-supervised Clustering. - Hongjun Wang 002; Tao Li 001; Tianrui Li 001; Yan Yang 001 (ADMA, 2012)

Microblog Topic Detection Based on LDA Model and Single-Pass Clustering. - Bo Huang; Yan Yang 001; Amjad Mahmood; Hongjun Wang 002 (RSCTC, 2012)

Semi-supervised Clustering Ensemble Based on Multi-ant Colonies Algorithm. - Yan Yang 001; Hongjun Wang 002; Chao Lin; Jinyuan Zhang (RSKT, 2012)

Semi-supervised Clustering Ensemble Based on Collaborative Training. - Jinyuan Zhang; Yan Yang 001; Hongjun Wang 002; Amjad Mahmood; Feifei Huang (RSKT, 2012)

Parallel Implementation of Ant-Based Clustering Algorithm Based on Hadoop. - Yan Yang 001; Xianhua Ni; Hongjun Wang 002; Yiteng Zhao (ICSI (1), 2012)

Constraint projections for semi-supervised affinity propagation. - Hongjun Wang 002; Ruihua Nie; Xingnian Liu; Tianrui Li 001 (Knowl. Based Syst., 2012)

Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization. - Amjad Mahmood; Tianrui Li 001; Yan Yang 001; Hongjun Wang 002 (ADMA (2), 2013)

Selective Clustering Ensemble Based on Covariance. - Xuyao Lu; Yan Yang 001; Hongjun Wang 002 (MCS, 2013)

Semi-supervised Clustering Ensemble for Web Video Categorization. - Amjad Mahmood; Tianrui Li 001; Yan Yang 001; Hongjun Wang 002; Mehtab Afzal (MCS, 2013)

Soft-Voting Clustering Ensemble. - Haishen Wang; Yan Yang 001; Hongjun Wang 002; Dahai Chen (MCS, 2013)

Efficient Complex Event Processing under Boolean Model. - Shanglian Peng; Tianrui Li 001; Hongjun Wang 002; Jia He 003; Tiejun Wang; Fan Li; An Liu (WAIM, 2013)

Clustering Ensemble and Application in HST Dataset. - Wenchao Xiao; Yan Yang 001; Hongjun Wang 002; Yingge Xu (ICDM Workshops, 2014)

Hyper-ellipsoidal clustering technique for evolving data stream. - Muhammad Zia-ur Rehman 003; Tianrui Li 001; Yan Yang 001; Hongjun Wang 002 (Knowl. Based Syst., 2014)

Bayesian image segmentation fusion. - Hongjun Wang 002; Yinghui Zhang 005; Ruihua Nie; Yan Yang 001; Bo Peng 006; Tianrui Li 001 (Knowl. Based Syst., 2014)

Constraint Neighborhood Projections for Semi-Supervised Clustering. - Hongjun Wang 002; Tao Li 001; Tianrui Li 001; Yan Yang 001 (IEEE Trans. Cybern., 2014)

Fuzzy Spectral Partition Ensemble Based on Occasion. - Xiaolong Meng; Yan Yang 001; Hongjun Wang 002 (ISKE, 2015)

Deep Belief Networks Oriented Clustering. - Qi Yang; Hongjun Wang 002; Tianrui Li 001; Yan Yang 001 (ISKE, 2015)

Belief Revision over Infinite Propositional Language. - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (KSEM, 2015)

聚类集成时机的确定 (Occasion Determination of Clustering Ensemble). - Xiaolong Meng; Yan Yang 001; Hongjun Wang 002; Wenchao Xiao (计算机科学, 2015)

Spectral co-clustering ensemble. - Shudong Huang; Hongjun Wang 002; Dingcheng Li; Yan Yang 001; Tianrui Li 001 (Knowl. Based Syst., 2015)

Semi-supervised evolutionary ensembles for Web video categorization. - Amjad Mahmood; Tianrui Li 001; Yan Yang 001; Hongjun Wang 002; Mehtab Afzal (Knowl. Based Syst., 2015)

Learning Latent Features for Multi-view Clustering Based on NMF. - Mengjiao He; Yan Yang 001; Hongjun Wang 002 (IJCRS, 2016)

A Novel Role-based Access Control Model in Cloud Environments. - Jun Luo; Hongjun Wang 002; Xun Gong 002; Tianrui Li 001 (Int. J. Comput. Intell. Syst., 2016)

Semi-supervised hierarchical clustering ensemble and its application. - Wenchao Xiao; Yan Yang 001; Hongjun Wang 002; Tianrui Li 001; Huanlai Xing (Neurocomputing, 2016)

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator). - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (计算机科学, 2016)

Hierarchical cluster ensemble model based on knowledge granulation. - Jie Hu 007; Tianrui Li 001; Hongjun Wang 002; Hamido Fujita (Knowl. Based Syst., 2016)

Constraint Co-Projections for Semi-Supervised Co-Clustering. - Shudong Huang; Hongjun Wang 002; Tao Li 001; Yan Yang 001; Tianrui Li 001 (IEEE Trans. Cybern., 2016)

An Overlapping Clustering Approach with Correlation Weight. - Yingge Xu; Yan Yang 001; Hongjun Wang 002; Jie Hu 007 (IJCRS (1), 2017)

Semi-Supervised Clustering Based on Exemplars Constraints. - Sailan Wang; Zhenzhi Yang; Jin Yang; Hongjun Wang 002 (IEICE Trans. Inf. Syst., 2017)

Softmax Regression by Using Unsupervised Ensemble Learning. - Ping Deng 002; Hongjun Wang 002; Shi-Jinn Horng; Dexian Wang 004; Ji Zhang; Hengxue Zhou (PAAP, 2018)

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. - Jielei Chu; Tianrui Li 001; Hongjun Wang 002; Jing Liu; Hua Meng 001 (CoRR, 2018)

Robust graph regularized nonnegative matrix factorization for clustering. - Shudong Huang; Hongjun Wang 002; Tao Li 001; Tianrui Li 001; Zenglin Xu (Data Min. Knowl. Discov., 2018)

A Mixture Model for Image Boundary Detection Fusion. - Yinghui Zhang 005; Hongjun Wang 002; Hengxue Zhou; Ping Deng 002 (IEICE Trans. Inf. Syst., 2018)

Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology. - Yan Yang 001; Fei Teng 001; Tianrui Li 001; Hao Wang 068; Hongjun Wang 002; Qi Zhang (IEEE Trans. Cloud Comput., 2018)

A Novel Decentralized Blockchain Networks Model with High Concurrenc(Blockchain Networks Model with High Concurrency). - Linghao Zhang; Bingde Lu; Tao Zhao; Hongjun Wang 002 (ISKE, 2019)

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zeng Yu 001; Tianrui Li 001 (CoRR, 2019)

The Detection of Distributional Discrepancy for Text Generation. - Xingyuan Chen; Ping Cai; Peng Jin; Haokun Du; Hongjun Wang 002; Xingyu Dai; Jiajun Chen 001 (CoRR, 2019)

Linear discriminant analysis guided by unsupervised ensemble learning. - Ping Deng 002; Hongjun Wang 002; Tianrui Li 001; Shi-Jinn Horng; Xinwen Zhu (Inf. Sci., 2019)

A factor graph model for unsupervised feature selection. - Hongjun Wang 002; Yinghui Zhang 005; Ji Zhang; Tianrui Li 001; Lingxi Peng (Inf. Sci., 2019)

基于聚类簇中心的共识跨链交换模型 (Accross Block Chain Consensus Transation Model Based on Cluster Center). - Tao Zhao; Linghao Zhang; Qigang Zhao; Hongjun Wang 002 (计算机科学, 2019)

Nonnegative matrix factorization for clustering ensemble based on dark knowledge. - Wenting Ye; Hongjun Wang 002; Shan Yan; Tianrui Li 001; Yan Yang 001 (Knowl. Based Syst., 2019)

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. - Ji Zhang; Hongjun Wang 002; Jielei Chu; Shudong Huang; Tianrui Li 001; Qigang Zhao (Knowl. Based Syst., 2019)

Particle Subswarms Collaborative Clustering. - Collins Census; Hongjun Wang 002; Ji Zhang; Ping Deng 002; Tianrui Li 001 (IEEE Trans. Comput. Soc. Syst., 2019)

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints. - Jielei Chu; Hongjun Wang 002; Hua Meng 001; Peng Jin; Tianrui Li 001 (IEEE Trans. Cybern., 2019)

The errors analysis of natural language generation - A case study of Topic-to-Essay generation. - Ping Cai; Xingyuan Chen; Hongjun Wang 002; Peng Jin (CIS, 2020)

Minor Constraint Disturbances for Deep Semi-supervised Learning. - Jielei Chu; Jing Liu; Hongjun Wang 002; Zhiguo Gong; Tianrui Li 001 (CoRR, 2020)

A Discriminator Improves Unconditional Text Generation without Updating the Generator. - Xingyuan Chen; Ping Cai; Peng Jin; Hongjun Wang 002; Xinyu Dai; Jiajun Chen 001 (CoRR, 2020)

Locally Linear Embedding Discriminant Feature Learning Model. - Chensu Wang; Luqing Wang; Hongjun Wang 002; Bo Peng 006; Tianrui Li 001 (ChineseCSCW (2), 2021)

Region Quality Based Scale-aware Selection for Hierarchical Image Segmentation. - Haonan Zhu; Bo Peng 006; Hongjun Wang 002 (ICDSP, 2021)

Traffic Sign Classification Based on Prototypes. - Hao Fu; Hongjun Wang 002 (ISKE, 2021)

On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal. - Qiyuan Hu; Yang Gao; Zhiguo Long; Hongjun Wang 002; Tianrui Li 001; Michael Sioutis (ISKE, 2021)

Calibration Data Prediction of Wind Tunnel Balance Based on Regression Tree. - Tao Ma; Lei Miao; Yikun Du; Hongjun Wang 002 (ISKE, 2021)

Credit Grade Prediction Based on Decision Tree Model. - Jiexian You; Guolan Li; Hongjun Wang 002 (ISKE, 2021)

Particle Swarm Optimization for Clustering Ensemble. - Yu Zheng; Zhiguo Long; Chuanyang Wei; Hongjun Wang 002 (ISKE, 2021)

Co-Adjustment Learning for Co-Clustering. - Ji Zhang; Hongjun Wang 002; Shudong Huang; Tianrun Li; Peng Jin; Ping Deng 002; Qigang Zhao (Cogn. Comput., 2021)

Quantum Clustering Ensemble. - Peizhou Tian; Shuang Jia; Ping Deng 002; Hongjun Wang 002 (Int. J. Comput. Intell. Syst., 2021)

Semi-Supervised Density Peaks Clustering Based on Constraint Projection. - Shan Yan; Hongjun Wang 002; Tianrui Li 001; Jielei Chu; Jin Guo (Int. J. Comput. Intell. Syst., 2021)

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints. - Yanping Wu; Yinghui Zhang 005; Hongjun Wang 002; Ping Deng 002; Tianrui Li 001 (Inf. Sci., 2021)

Distributional discrepancy: A metric for unconditional text generation. - Ping Cai; Xingyuan Chen; Peng Jin; Hongjun Wang 002; Tianrui Li 001 (Knowl. Based Syst., 2021)

Tri-regularized nonnegative matrix tri-factorization for co-clustering. - Ping Deng 002; Tianrui Li 001; Hongjun Wang 002; Shi-Jinn Horng; Zeng Yu 001; Xiaomin Wang (Knowl. Based Syst., 2021)

Hybrid genetic model for clustering ensemble. - Wenlu Yang; Yinghui Zhang 005; Hongjun Wang 002; Ping Deng 002; Tianrui Li 001 (Knowl. Based Syst., 2021)

The detection of distributional discrepancy for language GANs. - Xingyuan Chen; Peng Jin; Ping Cai; Hongjun Wang 002; Xinyu Dai; Jiajun Chen 001 (Connect. Sci., 2022)

Dual graph-regularized sparse concept factorization for clustering. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Hongjun Wang 002; Pengfei Zhang 016 (Inf. Sci., 2022)

Multi-local Collaborative AutoEncoder. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zhiguo Gong; Tianrui Li 001 (Knowl. Based Syst., 2022)

Gaussian gravitation for cluster ensembles. - Kai Cong; Jin Yang; Hongjun Wang 002; Li Tao (Knowl. Based Syst., 2022)

Biased unconstrained non-negative matrix factorization for clustering. - Ping Deng 002; Fan Zhang 108; Tianrui Li 001; Hongjun Wang 002; Shi-Jinn Horng (Knowl. Based Syst., 2022)

Bilateral discriminative autoencoder model orienting co-representation learning. - Zehao Liu; Hongjun Wang 002; Wei Chen 141; Luqing Wang; Tianrui Li 001 (Knowl. Based Syst., 2022)

Markov clustering ensemble. - Luqing Wang; Junwei Luo; Hongjun Wang 002; Tianrui Li 001 (Knowl. Based Syst., 2022)

Multi-view data clustering via non-negative matrix factorization with manifold regularization. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Hongjun Wang 002 (Int. J. Mach. Learn. Cybern., 2022)

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zhiguo Gong; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Gaussian Function Representation of 2nd-Order Normal Cloud Model. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (ISKE, 2023)

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. - Ping Deng 002; Tianrui Li 001; Hongjun Wang 002; Dexian Wang 001; Shi-Jinn Horng; Rui Liu (IEEE Trans. Comput. Soc. Syst., 2023)

Hierarchical Active Learning With Qualitative Feedback on Regions. - Zhipeng Luo; Yazhou He; Yanbing Xue; Hongjun Wang 002; Milos Hauskrecht; Tianrui Li 001 (IEEE Trans. Hum. Mach. Syst., 2023)

Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder. - Wenlu Yang; Hongjun Wang 002; Yinghui Zhang 005; Zehao Liu; Tianrui Li 001 (ACM Trans. Intell. Syst. Technol., 2023)

Multi-objective genetic model for co-clustering ensemble. - Yuxin Zhong; Hongjun Wang 002; Wenlu Yang; Luqing Wang; Tianrui Li 001 (Appl. Soft Comput., 2023)

Multi-view clustering guided by unconstrained non-negative matrix factorization. - Ping Deng 002; Tianrui Li 001; Dexian Wang 001; Hongjun Wang 002; Hong Peng; Shi-Jinn Horng (Knowl. Based Syst., 2023)

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. - Jielei Chu; Jing Liu; Hongjun Wang 002; Hua Meng 001; Zhiguo Gong; Tianrui Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fast Flexible Bipartite Graph Model for Co-Clustering. - Wei Chen 141; Hongjun Wang 002; Zhiguo Long; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view clustering for multiple manifold learning via concept factorization. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Hongjun Wang 002 (Digit. Signal Process., 2023)

Long sequence time-series forecasting with deep learning: A survey. - Zonglei Chen; Minbo Ma; Tianrui Li 001; Hongjun Wang 002; Chongshou Li (Inf. Fusion, 2023)

Auto-attention mechanism for multi-view deep embedding clustering. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Xinyan Liang; Hongjun Wang 002 (Pattern Recognit., 2023)

Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding. - Jian Wang; Hui Zhao; Yinghui Zhang 005; Hongjun Wang 002; Jin Guo (Int. J. Comput. Intell. Syst., 2023)

Graph Diffusive Self-Supervised Learning for Social Recommendation. - Jiuqiang Li 002; Hongjun Wang 002 (SIGIR, 2024)

A nondominated sorting genetic model for co-clustering. - Wuchun Yang; Hongjun Wang 002; Yinghui Zhang 005; Zhipeng Luo; Tianrui Li 001 (Inf. Sci., 2024)

Information bottleneck fusion for deep multi-view clustering. - Jie Hu 007; Chenghao Yang; Kai Huang; Hongjun Wang 002; Bo Peng 006; Tianrui Li 001 (Knowl. Based Syst., 2024)

Echocardiographic mitral valve segmentation model. - Chunxia Liu; Shanshan Dong; Feng Xiong; Luqing Wang; Bolun Li; Hongjun Wang 002 (J. King Saud Univ. Comput. Inf. Sci., 2024)

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (Int. J. Mach. Learn. Cybern., 2024)

T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning. - Wei Chen 141; Hongjun Wang 002; Yinghui Zhang 005; Ping Deng 002; Zhipeng Luo; Tianrui Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

Federated Learning with Multi-Method Adaptive Aggregation for Enhanced Defect Detection in Power Systems. - Linghao Zhang; Bing Bian; Linyu Luo; Siyang Li; Hongjun Wang 002 (Big Data Cogn. Comput., 2024)

A Survey of Co-Clustering. - Hongjun Wang 002; Yi Song; Wei Chen 141; Zhipeng Luo; Chongshou Li; Tianrui Li 001 (ACM Trans. Knowl. Discov. Data, 2024)

Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection. - Linghao Zhang; Luqing Wang; Zhijie Yan; Zhentang Jia; Hongjun Wang 002; Xinyu Tang (Int. J. Comput. Intell. Syst., 2024)

Correction: Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection. - Linghao Zhang; Luqing Wang; Zhijie Yan; Zhentang Jia; Hongjun Wang 002; Xinyu Tang (Int. J. Comput. Intell. Syst., 2024)

Hierarchical Active Learning With Label Proportions on Data Regions. - Zhipeng Luo; Qiang Gao 003; Yazhou He; Hongjun Wang 002; Milos Hauskrecht; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Distributed multi-objective genetic model for parallel co-clustering ensemble. - Xu Li; Yuxin Zhong; Hongjun Wang 002; Tianrui Li 001 (Appl. Soft Comput., 2025)

Neighbor self-embedding graph model for clustering ensemble. - Siyang Li; Peng Zhao; Hongjun Wang 002; Huan Wang; Tianrui Li 001 (Appl. Soft Comput., 2025)

AGCI2L: Adversarial Graph Contrastive Information Invariant Learning. - Zhicheng Gao; Zhipeng Luo; Hongjun Wang 002; Tianrui Li 001 (Knowl. Based Syst., 2025)

Weakly-supervised locally linear embedding model for discriminant feature learning. - Luqing Wang; Chengsu Wang; Hongjun Wang 002; Chongshou Li; Jie Hu 007; Tianrui Li 001 (Knowl. Based Syst., 2025)

Multidimensional Scaling Orienting Discriminative Co-Representation Learning. - Zhang Qin; Yinghui Zhang 005; Hongjun Wang 002; Zhipeng Luo; Chongshou Li; Tianrui Li 001 (IEEE Trans. Hum. Mach. Syst., 2025)

IDSA: Integer-domain sparse adversarial attack. - Jie Yang; Zitian Li; Hongjun Wang 002; Tianrui Li 001 (Signal Image Video Process., 2025)