Hongjun Wang

Orcid: 0000-0001-7280-2852

Affiliations:

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

According to our database¹, Hongjun Wang authored at least 81 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., February, 2024

2023

Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., December, 2023

Auto-attention mechanism for multi-view deep embedding clustering.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

Long sequence time-series forecasting with deep learning: A survey.

[BibT_eX]

[DOI]

Inf. Fusion, September, 2023

Multi-view clustering for multiple manifold learning via concept factorization.

[BibT_eX]

[DOI]

Digit. Signal Process., August, 2023

Fast Flexible Bipartite Graph Model for Co-Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Multi-view clustering guided by unconstrained non-negative matrix factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

Multi-objective genetic model for co-clustering ensemble.

[BibT_eX]

[DOI]

Appl. Soft Comput., March, 2023

Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2023

Hierarchical Active Learning With Qualitative Feedback on Regions.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2023

Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2023

2022

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Multi-view data clustering via non-negative matrix factorization with manifold regularization.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Markov clustering ensemble.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Bilateral discriminative autoencoder model orienting co-representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Biased unconstrained non-negative matrix factorization for clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Gaussian gravitation for cluster ensembles.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Multi-local Collaborative AutoEncoder.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Dual graph-regularized sparse concept factorization for clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2022

The detection of distributional discrepancy for language GANs.

[BibT_eX]

[DOI]

Connect. Sci., 2022

2021

Hybrid genetic model for clustering ensemble.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Tri-regularized nonnegative matrix tri-factorization for co-clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Distributional discrepancy: A metric for unconditional text generation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Semi-Supervised Density Peaks Clustering Based on Constraint Projection.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

Quantum Clustering Ensemble.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

Co-Adjustment Learning for Co-Clustering.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

Particle Swarm Optimization for Clustering Ensemble.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Credit Grade Prediction Based on Decision Tree Model.

[BibT_eX]

[DOI]

Jiexian You

Guolan Li

Hongjun Wang

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Calibration Data Prediction of Wind Tunnel Balance Based on Regression Tree.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

On Large-Scale Qualitative Spatio-Temporal Constraint Redundancy Removal.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Traffic Sign Classification Based on Prototypes.

[BibT_eX]

[DOI]

Hao Fu

Hongjun Wang

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Region Quality Based Scale-aware Selection for Hierarchical Image Segmentation.

[BibT_eX]

[DOI]

Haonan Zhu

Bo Peng

Hongjun Wang

Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

2020

A Discriminator Improves Unconditional Text Generation without Updating the Generator.

[BibT_eX]

[DOI]

CoRR, 2020

Minor Constraint Disturbances for Deep Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

The errors analysis of natural language generation - A case study of Topic-to-Essay generation.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

2019

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Particle Subswarms Collaborative Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Nonnegative matrix factorization for clustering ensemble based on dark knowledge.

[BibT_eX]

[DOI]

Knowl. Based Syst., 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).

[BibT_eX]

[DOI]

计算机科学, 2019

A factor graph model for unsupervised feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Linear discriminant analysis guided by unsupervised ensemble learning.

[BibT_eX]

[DOI]

Inf. Sci., 2019

The Detection of Distributional Discrepancy for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2019

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.

[BibT_eX]

[DOI]

CoRR, 2019

A Novel Decentralized Blockchain Networks Model with High Concurrenc(Blockchain Networks Model with High Concurrency).

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018

Parallel Semi-Supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2018

A Mixture Model for Image Boundary Detection Fusion.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2018

Robust graph regularized nonnegative matrix factorization for clustering.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.

[BibT_eX]

[DOI]

CoRR, 2018

Softmax Regression by Using Unsupervised Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

2017

Semi-Supervised Clustering Based on Exemplars Constraints.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2017

An Overlapping Clustering Approach with Correlation Weight.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Constraint Co-Projections for Semi-Supervised Co-Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Hierarchical cluster ensemble model based on knowledge granulation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator).

[BibT_eX]

[DOI]

计算机科学, 2016

Semi-supervised hierarchical clustering ensemble and its application.

[BibT_eX]

[DOI]

Neurocomputing, 2016

A Novel Role-based Access Control Model in Cloud Environments.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2016

Learning Latent Features for Multi-view Clustering Based on NMF.

[BibT_eX]

[DOI]

Mengjiao He

Yan Yang

Hongjun Wang

Proceedings of the Rough Sets - International Joint Conference, 2016

2015

Semi-supervised evolutionary ensembles for Web video categorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Spectral co-clustering ensemble.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

聚类集成时机的确定 (Occasion Determination of Clustering Ensemble).

[BibT_eX]

[DOI]

计算机科学, 2015

Belief Revision over Infinite Propositional Language.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2015

Deep Belief Networks Oriented Clustering.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Fuzzy Spectral Partition Ensemble Based on Occasion.

[BibT_eX]

[DOI]

Xiaolong Meng

Yan Yang

Hongjun Wang

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

2014

Constraint Neighborhood Projections for Semi-Supervised Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Bayesian image segmentation fusion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Hyper-ellipsoidal clustering technique for evolving data stream.

[BibT_eX]

[DOI]

Muhammad Zia-ur Rehman

Tianrui Li

Yan Yang

Hongjun Wang

Knowl. Based Syst., 2014

Clustering Ensemble and Application in HST Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Efficient Complex Event Processing under Boolean Model.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Soft-Voting Clustering Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Semi-supervised Clustering Ensemble for Web Video Categorization.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Selective Clustering Ensemble Based on Covariance.

[BibT_eX]

[DOI]

Xuyao Lu

Yan Yang

Hongjun Wang

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Semi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Constraint projections for semi-supervised affinity propagation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Parallel Implementation of Ant-Based Clustering Algorithm Based on Hadoop.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Semi-supervised Clustering Ensemble Based on Collaborative Training.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Semi-supervised Clustering Ensemble Based on Multi-ant Colonies Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Microblog Topic Detection Based on LDA Model and Single-Pass Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Exemplars-Constraints for Semi-supervised Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Hongjun Wang

Timeline

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