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• affiliation:Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
• affiliation (PhD 2009):Sichuan University, China

• Hongjun Wang —disambiguation page
• Hongjun Wang0001 — Chongqing University of Arts and Sciences, School of Economics and Management, China
• Hongjun Wang0003 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent Systems Laboratory, China
• Hongjun Wang0004 — Shandong University, Qingdao, Shandong, China
• Hongjun Wang0005 — Sun Yat-sen University, Guangzhou, Guangdong, China
• Hongjun Wang0006 — South China Agricultural University, Guangzhou, China
• Hongjun Wang0007 — University of Tokyo, Japan
• Hongjun Wang0008 — Anhui University of Technology, Ma'anshan, China
• Hongjun Wang0009 — Beijing Information Science and Technology University, Beijing, China
• Hongjun Wang0010 — National University of Defense Technology, Changsha, China
• Hongjun Wang0011 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
• Hongjun Wang0012 — Stevens Institute of Technology, Hoboken, NJ, USA

• Hong-Jun Wang

• 2026
• 
  [j68]
  Yi Song,Hongjun Wang,Luqing Wang,Xu Li,Tianrui Li:
  Manifold-aware dual hypergraph co-clustering.Neurocomputing671:132680 (2026)
• 2025
• 
  [j67]
  Siyang Li,Peng Zhao,Hongjun Wang,Huan Wang,Tianrui Li:
  Neighbor self-embedding graph model for clustering ensemble.Appl. Soft Comput.171:112844 (2025)
• 
  [j66]
  Xu Li,Yuxin Zhong,Hongjun Wang,Tianrui Li:
  Distributed multi-objective genetic model for parallel co-clustering ensemble.Appl. Soft Comput.181:113437 (2025)
• 
  [j65]
  Zhicheng Gao,Zhipeng Luo,Hongjun Wang,Tianrui Li:
  AGCI2L: Adversarial Graph Contrastive Information Invariant Learning.Knowl. Based Syst.320:113571 (2025)
• 
  [j64]
  Luqing Wang,Chengsu Wang,Hongjun Wang,Chongshou Li,Jie Hu,Tianrui Li:
  Weakly-supervised locally linear embedding model for discriminant feature learning.Knowl. Based Syst.325:113966 (2025)
• 
  [j63]
  Jie Yang,Zitian Li,Hongjun Wang,Tianrui Li:
  IDSA: Integer-domain sparse adversarial attack.Signal Image Video Process.19(8):659 (2025)
• 
  [j62]
  Zitian Li,Jie Yang,Hongjun Wang,Tianrui Li:
  SEIDA: stable and effective image degradation attack.Signal Image Video Process.19(12):998 (2025)
• 
  [j61]
  Zhang Qin,Yinghui Zhang,Hongjun Wang,Zhipeng Luo,Chongshou Li,Tianrui Li:
  Multidimensional Scaling Orienting Discriminative Co-Representation Learning.IEEE Trans. Hum. Mach. Syst.55(1):71-82 (2025)
• 2024
• 
  [j60]
  Linghao Zhang,Bing Bian,Linyu Luo,Siyang Li,Hongjun Wang:
  Federated Learning with Multi-Method Adaptive Aggregation for Enhanced Defect Detection in Power Systems.Big Data Cogn. Comput.8(9):102 (2024)
• 
  [j59]
  Linghao Zhang,Luqing Wang,Zhijie Yan,Zhentang Jia,Hongjun Wang,Xinyu Tang:
  Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection.Int. J. Comput. Intell. Syst.17(1):141 (2024)
• 
  [j58]
  Linghao Zhang,Luqing Wang,Zhijie Yan,Zhentang Jia,Hongjun Wang,Xinyu Tang:
  Correction: Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection.Int. J. Comput. Intell. Syst.17(1):149 (2024)
• 
  [j57]
  Wuchun Yang,Hongjun Wang,Yinghui Zhang,Zhipeng Luo,Tianrui Li:
  A nondominated sorting genetic model for co-clustering.Inf. Sci.667:120459 (2024)
• 
  [j56]
  Chunxia Liu,Shanshan Dong,Feng Xiong,Luqing Wang,Bolun Li,Hongjun Wang:
  Echocardiographic mitral valve segmentation model.J. King Saud Univ. Comput. Inf. Sci.36(1):102218 (2024)
• 
  [j55]
  Jie Hu,Chenghao Yang,Kai Huang,Hongjun Wang,Bo Peng,Tianrui Li:
  Information bottleneck fusion for deep multi-view clustering.Knowl. Based Syst.289:111551 (2024)
• 
  [j54]
  Min Li,Guoyin Wang,Zeng Yu,Hongjun Wang,Jihong Wan,Tianrui Li:
  Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.Int. J. Mach. Learn. Cybern.15(2):283-302 (2024)
• 
  [j53]
  Wei Chen,Hongjun Wang,Yinghui Zhang,Ping Deng,Zhipeng Luo,Tianrui Li:
  T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning.ACM Trans. Intell. Syst. Technol.15(2):23:1-23:18 (2024)
• 
  [j52]
  Hongjun Wang,Yi Song,Wei Chen,Zhipeng Luo,Chongshou Li,Tianrui Li:
  A Survey of Co-Clustering.ACM Trans. Knowl. Discov. Data18(9):224:1-224:28 (2024)
• 
  [j51]
  Zhipeng Luo,Qiang Gao,Yazhou He,Hongjun Wang,Milos Hauskrecht,Tianrui Li:
  Hierarchical Active Learning With Label Proportions on Data Regions.IEEE Trans. Knowl. Data Eng.36(12):8434-8446 (2024)
• 
  [c29]
  Jiuqiang Li,Hongjun Wang:
  Graph Diffusive Self-Supervised Learning for Social Recommendation.SIGIR2024:2442-2446
• 2023
• 
  [j50]
  Yuxin Zhong,Hongjun Wang,Wenlu Yang,Luqing Wang,Tianrui Li:
  Multi-objective genetic model for co-clustering ensemble.Appl. Soft Comput.135:110058 (2023)
• 
  [j49]
  Ghufran Ahmad Khan,Jie Hu,Tianrui Li,Bassoma Diallo,Hongjun Wang:
  Multi-view clustering for multiple manifold learning via concept factorization.Digit. Signal Process.140:104118 (2023)
• 
  [j48]
  Jian Wang,Hui Zhao,Yinghui Zhang,Hongjun Wang,Jin Guo:
  Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding.Int. J. Comput. Intell. Syst.16(1):29 (2023)
• 
  [j47]
  Zonglei Chen,Minbo Ma,Tianrui Li,Hongjun Wang,Chongshou Li:
  Long sequence time-series forecasting with deep learning: A survey.Inf. Fusion97:101819 (2023)
• 
  [j46]
  Ping Deng,Tianrui Li,Dexian Wang,Hongjun Wang,Hong Peng,Shi-Jinn Horng:
  Multi-view clustering guided by unconstrained non-negative matrix factorization.Knowl. Based Syst.266:110425 (2023)
• 
  [j45]
  Jielei Chu,Jing Liu,Hongjun Wang,Hua Meng,Zhiguo Gong,Tianrui Li:
  Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.IEEE Trans. Pattern Anal. Mach. Intell.45(6):7542-7558 (2023)
• 
  [j44]
  Bassoma Diallo,Jie Hu,Tianrui Li,Ghufran Ahmad Khan,Xinyan Liang,Hongjun Wang:
  Auto-attention mechanism for multi-view deep embedding clustering.Pattern Recognit.143:109764 (2023)
• 
  [j43]
  Ping Deng,Tianrui Li,Hongjun Wang,Dexian Wang,Shi-Jinn Horng,Rui Liu:
  Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.IEEE Trans. Comput. Soc. Syst.10(3):910-921 (2023)
• 
  [j42]
  Zhipeng Luo,Yazhou He,Yanbing Xue,Hongjun Wang,Milos Hauskrecht,Tianrui Li:
  Hierarchical Active Learning With Qualitative Feedback on Regions.IEEE Trans. Hum. Mach. Syst.53(3):581-589 (2023)
• 
  [j41]
  Wenlu Yang,Hongjun Wang,Yinghui Zhang,Zehao Liu,Tianrui Li:
  Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder.ACM Trans. Intell. Syst. Technol.14(1):11:1-11:18 (2023)
• 
  [j40]
  Wei Chen,Hongjun Wang,Zhiguo Long,Tianrui Li:
  Fast Flexible Bipartite Graph Model for Co-Clustering.IEEE Trans. Knowl. Data Eng.35(7):6930-6940 (2023)
• 
  [c28]
  Jielei Chu,Hongjun Wang,Jing Liu,Zhiguo Gong,Tianrui Li:
  Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM.ICDE2023:3811-3812
• 
  [c27]
  Min Li,Guoyin Wang,Zeng Yu,Hongjun Wang,Jihong Wan,Tianrui Li:
  Gaussian Function Representation of 2nd-Order Normal Cloud Model.ISKE2023:47-54
• 2022
• 
  [j39]
  Xingyuan Chen,Peng Jin,Ping Cai,Hongjun Wang,Xinyu Dai,Jiajun Chen:
  The detection of distributional discrepancy for language GANs.Connect. Sci.34(1):1736-1750 (2022)
• 
  [j38]
  Dexian Wang,Tianrui Li,Ping Deng,Hongjun Wang,Pengfei Zhang:
  Dual graph-regularized sparse concept factorization for clustering.Inf. Sci.607:1074-1088 (2022)
• 
  [j37]
  Jielei Chu,Hongjun Wang,Jing Liu,Zhiguo Gong,Tianrui Li:
  Multi-local Collaborative AutoEncoder.Knowl. Based Syst.239:107844 (2022)
• 
  [j36]
  Ping Deng,Fan Zhang,Tianrui Li,Hongjun Wang,Shi-Jinn Horng:
  Biased unconstrained non-negative matrix factorization for clustering.Knowl. Based Syst.239:108040 (2022)
• 
  [j35]
  Zehao Liu,Hongjun Wang,Wei Chen,Luqing Wang,Tianrui Li:
  Bilateral discriminative autoencoder model orienting co-representation learning.Knowl. Based Syst.245:108653 (2022)
• 
  [j34]
  Luqing Wang,Junwei Luo,Hongjun Wang,Tianrui Li:
  Markov clustering ensemble.Knowl. Based Syst.251:109196 (2022)
• 
  [j33]
  Kai Cong,Jin Yang,Hongjun Wang,Li Tao:
  Gaussian gravitation for cluster ensembles.Knowl. Based Syst.253:109444 (2022)
• 
  [j32]
  Ghufran Ahmad Khan,Jie Hu,Tianrui Li,Bassoma Diallo,Hongjun Wang:
  Multi-view data clustering via non-negative matrix factorization with manifold regularization.Int. J. Mach. Learn. Cybern.13(3):677-689 (2022)
• 
  [j31]
  Jielei Chu,Hongjun Wang,Jing Liu,Zhiguo Gong,Tianrui Li:
  Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.IEEE Trans. Knowl. Data Eng.34(6):3002-3015 (2022)
• 2021
• 
  [j30]
  Ji Zhang,Hongjun Wang,Shudong Huang,Tianrun Li,Peng Jin,Ping Deng,Qigang Zhao:
  Co-Adjustment Learning for Co-Clustering.Cogn. Comput.13(2):504-517 (2021)
• 
  [j29]
  Shan Yan,Hongjun Wang,Tianrui Li,Jielei Chu,Jin Guo:
  Semi-Supervised Density Peaks Clustering Based on Constraint Projection.Int. J. Comput. Intell. Syst.14(1):140-147 (2021)
• 
  [j28]
  Peizhou Tian,Shuang Jia,Ping Deng,Hongjun Wang:
  Quantum Clustering Ensemble.Int. J. Comput. Intell. Syst.14(1):248-256 (2021)
• 
  [j27]
  Yanping Wu,Yinghui Zhang,Hongjun Wang,Ping Deng,Tianrui Li:
  Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints.Inf. Sci.556:111-127 (2021)
• 
  [j26]
  Ping Cai,Xingyuan Chen,Peng Jin,Hongjun Wang,Tianrui Li:
  Distributional discrepancy: A metric for unconditional text generation.Knowl. Based Syst.217:106850 (2021)
• 
  [j25]
  Ping Deng,Tianrui Li,Hongjun Wang,Shi-Jinn Horng,Zeng Yu,Xiaomin Wang:
  Tri-regularized nonnegative matrix tri-factorization for co-clustering.Knowl. Based Syst.226:107101 (2021)
• 
  [j24]
  Wenlu Yang,Yinghui Zhang,Hongjun Wang,Ping Deng,Tianrui Li:
  Hybrid genetic model for clustering ensemble.Knowl. Based Syst.231:107457 (2021)
• 
  [c26]
  Chensu Wang,Luqing Wang,Hongjun Wang,Bo Peng,Tianrui Li:
  Locally Linear Embedding Discriminant Feature Learning Model.ChineseCSCW (2)2021:3-14
• 
  [c25]
  Haonan Zhu,Bo Peng,Hongjun Wang:
  Region Quality Based Scale-aware Selection for Hierarchical Image Segmentation.ICDSP2021:7-12
• 
  [c24]
  Hao Fu,Hongjun Wang:
  Traffic Sign Classification Based on Prototypes.ISKE2021:7-10
• 
  [c23]
  Tao Ma,Lei Miao,Yikun Du,Hongjun Wang:
  Calibration Data Prediction of Wind Tunnel Balance Based on Regression Tree.ISKE2021:362-367
• 
  [c22]
  Yu Zheng,Zhiguo Long,Chuanyang Wei,Hongjun Wang:
  Particle Swarm Optimization for Clustering Ensemble.ISKE2021:385-391
• 
  [c21]
  Qiyuan Hu,Yang Gao,Zhiguo Long,Hongjun Wang,Tianrui Li,Michael Sioutis:
  On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal.ISKE2021:398-405
• 
  [c20]
  Jiexian You,Guolan Li,Hongjun Wang:
  Credit Grade Prediction Based on Decision Tree Model.ISKE2021:668-673
• 2020
• 
  [c19]
  Ping Cai,Xingyuan Chen,Hongjun Wang,Peng Jin:
  The errors analysis of natural language generation - A case study of Topic-to-Essay generation.CIS2020:86-89
• 
  [i7]
  Jielei Chu,Jing Liu,Hongjun Wang,Zhiguo Gong,Tianrui Li:
  Minor Constraint Disturbances for Deep Semi-supervised Learning.CoRRabs/2003.06321 (2020)
• 
  [i6]
  Xingyuan Chen,Ping Cai,Peng Jin,Hongjun Wang,Xinyu Dai,Jiajun Chen:
  A Discriminator Improves Unconditional Text Generation without Updating the Generator.CoRRabs/2004.02135 (2020)
• 
  [i5]
  Ping Cai,Xingyuan Chen,Peng Jin,Hongjun Wang,Tianrui Li:
  Distributional Discrepancy: A Metric for Unconditional Text Generation.CoRRabs/2005.01282 (2020)

• 2019
• 
  [j23]
  Hongjun Wang,Yinghui Zhang,Ji Zhang,Tianrui Li,Lingxi Peng:
  A factor graph model for unsupervised feature selection.Inf. Sci.480:144-159 (2019)
• 
  [j22]
  Ping Deng,Hongjun Wang,Tianrui Li,Shi-Jinn Horng,Xinwen Zhu:
  Linear discriminant analysis guided by unsupervised ensemble learning.Inf. Sci.480:211-221 (2019)
• 
  [j21]
  Tao Zhao,Linghao Zhang,Qigang Zhao,Hongjun Wang:
  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).计算机科学46(11A):557-561 (2019)
• 
  [j20]
  Wenting Ye,Hongjun Wang,Shan Yan,Tianrui Li,Yan Yang:
  Nonnegative matrix factorization for clustering ensemble based on dark knowledge.Knowl. Based Syst.163:624-631 (2019)
• 
  [j19]
  Ji Zhang,Hongjun Wang,Jielei Chu,Shudong Huang,Tianrui Li,Qigang Zhao:
  Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.Knowl. Based Syst.185 (2019)
• 
  [j18]
  Collins Census,Hongjun Wang,Ji Zhang,Ping Deng,Tianrui Li:
  Particle Subswarms Collaborative Clustering.IEEE Trans. Comput. Soc. Syst.6(6):1165-1179 (2019)
• 
  [j17]
  Jielei Chu,Hongjun Wang,Hua Meng,Peng Jin,Tianrui Li:
  Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.IEEE Trans. Cybern.49(12):4321-4334 (2019)
• 
  [c18]
  Linghao Zhang,Bingde Lu,Tao Zhao,Hongjun Wang:
  A Novel Decentralized Blockchain Networks Model with High Concurrenc(Blockchain Networks Model with High Concurrency).ISKE2019:800-804
• 
  [i4]
  Jielei Chu,Hongjun Wang,Jing Liu,Zeng Yu,Tianrui Li:
  DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.CoRRabs/1906.05173 (2019)
• 
  [i3]
  Xingyuan Chen,Ping Cai,Peng Jin,Haokun Du,Hongjun Wang,Xingyu Dai,Jiajun Chen:
  The Detection of Distributional Discrepancy for Text Generation.CoRRabs/1910.04859 (2019)
• 2018
• 
  [j16]
  Shudong Huang,Hongjun Wang,Tao Li,Tianrui Li,Zenglin Xu:
  Robust graph regularized nonnegative matrix factorization for clustering.Data Min. Knowl. Discov.32(2):483-503 (2018)
• 
  [j15]
  Yinghui Zhang,Hongjun Wang,Hengxue Zhou,Ping Deng:
  A Mixture Model for Image Boundary Detection Fusion.IEICE Trans. Inf. Syst.101-D(4):1159-1166 (2018)
• 
  [j14]
  Yan Yang,Fei Teng,Tianrui Li,Hao Wang,Hongjun Wang,Qi Zhang:
  Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology.IEEE Trans. Cloud Comput.6(3):857-867 (2018)
• 
  [c17]
  Ping Deng,Hongjun Wang,Shi-Jinn Horng,Dexian Wang,Ji Zhang,Hengxue Zhou:
  Softmax Regression by Using Unsupervised Ensemble Learning.PAAP2018:196-201
• 
  [i2]
  Jielei Chu,Tianrui Li,Hongjun Wang,Jing Liu,Hua Meng:
  Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.CoRRabs/1812.01967 (2018)
• 2017
• 
  [j13]
  Sailan Wang,Zhenzhi Yang,Jin Yang,Hongjun Wang:
  Semi-Supervised Clustering Based on Exemplars Constraints.IEICE Trans. Inf. Syst.100-D(6):1231-1241 (2017)
• 
  [c16]
  Yingge Xu,Yan Yang,Hongjun Wang,Jie Hu:
  An Overlapping Clustering Approach with Correlation Weight.IJCRS (1)2017:611-619
• 
  [i1]
  Jielei Chu,Hongjun Wang,Hua Meng,Peng Jin,Tianrui Li:
  Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints.CoRRabs/1701.03647 (2017)
• 2016
• 
  [j12]
  Jun Luo,Hongjun Wang,Xun Gong,Tianrui Li:
  A Novel Role-based Access Control Model in Cloud Environments.Int. J. Comput. Intell. Syst.9(1):1-9 (2016)
• 
  [j11]
  Wenchao Xiao,Yan Yang,Hongjun Wang,Tianrui Li,Huanlai Xing:
  Semi-supervised hierarchical clustering ensemble and its application.Neurocomputing173:1362-1376 (2016)
• 
  [j10]
  Hua Meng,Yayan Yuan,Jielei Chu,Hongjun Wang:
  AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator).计算机科学43(9):87-90 (2016)
• 
  [j9]
  Jie Hu,Tianrui Li,Hongjun Wang,Hamido Fujita:
  Hierarchical cluster ensemble model based on knowledge granulation.Knowl. Based Syst.91:179-188 (2016)
• 
  [j8]
  Shudong Huang,Hongjun Wang,Tao Li,Yan Yang,Tianrui Li:
  Constraint Co-Projections for Semi-Supervised Co-Clustering.IEEE Trans. Cybern.46(12):3047-3058 (2016)
• 
  [c15]
  Mengjiao He,Yan Yang,Hongjun Wang:
  Learning Latent Features for Multi-view Clustering Based on NMF.IJCRS2016:459-469
• 2015
• 
  [j7]
  Xiaolong Meng,Yan Yang,Hongjun Wang,Wenchao Xiao:
  聚类集成时机的确定 (Occasion Determination of Clustering Ensemble).计算机科学42(7):48-51 (2015)
• 
  [j6]
  Amjad Mahmood,Tianrui Li,Yan Yang,Hongjun Wang,Mehtab Afzal:
  Semi-supervised evolutionary ensembles for Web video categorization.Knowl. Based Syst.76:53-66 (2015)
• 
  [j5]
  Shudong Huang,Hongjun Wang,Dingcheng Li,Yan Yang,Tianrui Li:
  Spectral co-clustering ensemble.Knowl. Based Syst.84:46-55 (2015)
• 
  [c14]
  Xiaolong Meng,Yan Yang,Hongjun Wang:
  Fuzzy Spectral Partition Ensemble Based on Occasion.ISKE2015:40-45
• 
  [c13]
  Qi Yang,Hongjun Wang,Tianrui Li,Yan Yang:
  Deep Belief Networks Oriented Clustering.ISKE2015:58-65
• 
  [c12]
  Hua Meng,Yayan Yuan,Jielei Chu,Hongjun Wang:
  Belief Revision over Infinite Propositional Language.KSEM2015:844-854
• 2014
• 
  [j4]
  Muhammad Zia-ur Rehman,Tianrui Li,Yan Yang,Hongjun Wang:
  Hyper-ellipsoidal clustering technique for evolving data stream.Knowl. Based Syst.70:3-14 (2014)
• 
  [j3]
  Hongjun Wang,Yinghui Zhang,Ruihua Nie,Yan Yang,Bo Peng,Tianrui Li:
  Bayesian image segmentation fusion.Knowl. Based Syst.71:162-168 (2014)
• 
  [j2]
  Hongjun Wang,Tao Li,Tianrui Li,Yan Yang:
  Constraint Neighborhood Projections for Semi-Supervised Clustering.IEEE Trans. Cybern.44(5):636-643 (2014)
• 
  [c11]
  Wenchao Xiao,Yan Yang,Hongjun Wang,Yingge Xu:
  Clustering Ensemble and Application in HST Dataset.ICDM Workshops2014:213-220
• 2013
• 
  [c10]
  Amjad Mahmood,Tianrui Li,Yan Yang,Hongjun Wang:
  Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.ADMA (2)2013:1-12
• 
  [c9]
  Xuyao Lu,Yan Yang,Hongjun Wang:
  Selective Clustering Ensemble Based on Covariance.MCS2013:179-189
• 
  [c8]
  Amjad Mahmood,Tianrui Li,Yan Yang,Hongjun Wang,Mehtab Afzal:
  Semi-supervised Clustering Ensemble for Web Video Categorization.MCS2013:190-200
• 
  [c7]
  Haishen Wang,Yan Yang,Hongjun Wang,Dahai Chen:
  Soft-Voting Clustering Ensemble.MCS2013:307-318
• 
  [c6]
  Shanglian Peng,Tianrui Li,Hongjun Wang,Jia He,Tiejun Wang,Fan Li,An Liu:
  Efficient Complex Event Processing under Boolean Model.WAIM2013:631-642
• 2012
• 
  [j1]
  Hongjun Wang,Ruihua Nie,Xingnian Liu,Tianrui Li:
  Constraint projections for semi-supervised affinity propagation.Knowl. Based Syst.36:315-321 (2012)
• 
  [c5]
  Hongjun Wang,Tao Li,Tianrui Li,Yan Yang:
  Exemplars-Constraints for Semi-supervised Clustering.ADMA2012:115-126
• 
  [c4]
  Bo Huang,Yan Yang,Amjad Mahmood,Hongjun Wang:
  Microblog Topic Detection Based on LDA Model and Single-Pass Clustering.RSCTC2012:166-171
• 
  [c3]
  Yan Yang,Hongjun Wang,Chao Lin,Jinyuan Zhang:
  Semi-supervised Clustering Ensemble Based on Multi-ant Colonies Algorithm.RSKT2012:302-309
• 
  [c2]
  Jinyuan Zhang,Yan Yang,Hongjun Wang,Amjad Mahmood,Feifei Huang:
  Semi-supervised Clustering Ensemble Based on Collaborative Training.RSKT2012:450-455
• 
  [c1]
  Yan Yang,Xianhua Ni,Hongjun Wang,Yiteng Zhao:
  Parallel Implementation of Ant-Based Clustering Algorithm Based on Hadoop.ICSI (1)2012:190-197

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