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ORCIDHongjun Wang 0002
Person information
- affiliation: Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- affiliation (PhD 2009): Sichuan University, China
Other persons with the same name
- Hongjun Wang — disambiguation page
- Hongjun Wang 0001 — Chongqing University of Arts and Sciences, School of Economics and Management, China
- Hongjun Wang 0003
![[0000-0002-8504-7013]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8504-7013")
— Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent Systems Laboratory, China - Hongjun Wang 0004 — Shandong University, Qingdao, Shandong, China
- Hongjun Wang 0005 — Sun Yat-sen University, Guangzhou, Guangdong, China
- Hongjun Wang 0006 — South China Agricultural University, Guangzhou, China
- Hongjun Wang 0007 — University of Tokyo, Japan
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2020 – today
- 2024
[j57]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)- [j56]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) - [j55]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) - [j54]Wuchun Yang, Hongjun Wang, Yinghui Zhang, Zhipeng Luo, Tianrui Li:
A nondominated sorting genetic model for co-clustering. Inf. Sci. 667: 120459 (2024) - [j53]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) - [j52]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) - [j51]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) - [c29]Jiuqiang Li, Hongjun Wang:
Graph Diffusive Self-Supervised Learning for Social Recommendation. SIGIR 2024: 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. Fusion 97: 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. ICDE 2023: 3811-3812 - [c27]Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li:
Gaussian Function Representation of 2nd-Order Normal Cloud Model. ISKE 2023: 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. ICDSP 2021: 7-12 - [c24]Hao Fu, Hongjun Wang:
Traffic Sign Classification Based on Prototypes. ISKE 2021: 7-10 - [c23]Tao Ma, Lei Miao, Yikun Du, Hongjun Wang:
Calibration Data Prediction of Wind Tunnel Balance Based on Regression Tree. ISKE 2021: 362-367 - [c22]Yu Zheng, Zhiguo Long, Chuanyang Wei, Hongjun Wang:
Particle Swarm Optimization for Clustering Ensemble. ISKE 2021: 385-391 - [c21]Qiyuan Hu, Yang Gao, Zhiguo Long, Hongjun Wang, Tianrui Li, Michael Sioutis:
On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal. ISKE 2021: 398-405 - [c20]Jiexian You, Guolan Li, Hongjun Wang:
Credit Grade Prediction Based on Decision Tree Model. ISKE 2021: 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. CIS 2020: 86-89 - [i7]Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li:
Minor Constraint Disturbances for Deep Semi-supervised Learning. CoRR abs/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. CoRR abs/2004.02135 (2020) - [i5]Ping Cai, Xingyuan Chen, Peng Jin, Hongjun Wang, Tianrui Li:
Distributional Discrepancy: A Metric for Unconditional Text Generation. CoRR abs/2005.01282 (2020)
2010 – 2019
- 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). ISKE 2019: 800-804 - [i4]Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li:
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. CoRR abs/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. CoRR abs/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. PAAP 2018: 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. CoRR abs/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. CoRR abs/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. Neurocomputing 173: 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. IJCRS 2016: 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. ISKE 2015: 40-45 - [c13]Qi Yang, Hongjun Wang, Tianrui Li, Yan Yang:
Deep Belief Networks Oriented Clustering. ISKE 2015: 58-65 - [c12]Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang:
Belief Revision over Infinite Propositional Language. KSEM 2015: 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 Workshops 2014: 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. MCS 2013: 179-189 - [c8]Amjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang, Mehtab Afzal:
Semi-supervised Clustering Ensemble for Web Video Categorization. MCS 2013: 190-200 - [c7]Haishen Wang, Yan Yang, Hongjun Wang, Dahai Chen:
Soft-Voting Clustering Ensemble. MCS 2013: 307-318 - [c6]Shanglian Peng, Tianrui Li, Hongjun Wang, Jia He, Tiejun Wang, Fan Li, An Liu:
Efficient Complex Event Processing under Boolean Model. WAIM 2013: 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. ADMA 2012: 115-126 - [c4]Bo Huang, Yan Yang, Amjad Mahmood, Hongjun Wang:
Microblog Topic Detection Based on LDA Model and Single-Pass Clustering. RSCTC 2012: 166-171 - [c3]Yan Yang, Hongjun Wang, Chao Lin, Jinyuan Zhang:
Semi-supervised Clustering Ensemble Based on Multi-ant Colonies Algorithm. RSKT 2012: 302-309 - [c2]Jinyuan Zhang, Yan Yang, Hongjun Wang, Amjad Mahmood, Feifei Huang:
Semi-supervised Clustering Ensemble Based on Collaborative Training. RSKT 2012: 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
Coauthor Index
[j54] [j53] [j52] [j51] [j50] [j49] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [c28] [c27] [j38] [j37] [j36] [j35] [j34] [j32] [j31] [j29] [j27] [j26] [j25] [j24] [c26] [c21] [i7] [i5] [j23] [j22] [j20] [j19] [j18] [j17] [i4] [j16] [j14] [i2] [i1] [j12] [j11] [j9] [j8] [j6] [j5] [c13] [j4] [j3] [j2] [c10] [c8] [c6] [j1] [c5]
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