wanghongjun
Research Associate
|
Supervisor of Master's Candidates
- Master Tutor
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:犀浦3号教学楼31529
- Professional Title:Research Associate
- Alma Mater:四川大学
- Supervisor of Master's Candidates
- School/Department:计算机与人工智能学院
- Discipline:Electronic Information
Software Engineering
Computer Application Technology
Contact Information
- PostalAddress：
- Email：
- Paper Publications
- Semi-Supervised Density Peaks Clustering Based on Constraint Projection,Shan Yan,Hongjun Wang, Jin Guo, Jielei Chu,Tianrui Li.International Journal of Computational Intelligence Systems,2020,14 - 1(Issue 1):140 - 147
- Improved Gaussian-Bernoulli Restricted Boltzmann Machine for Learning Discriminative Representati...,Ji Zhang,Hongjun Wang, Qigang Zhao, Shudong Huang,Jielei Chu,Tianrui Li.KNOWLEDGE-BASED SYSTEMS,2019,Volume 185(1 December 2019):104911
- Restricted Boltzmann machines with Gaussian visible units guided by pairwise constraints,Jielei Chu,Hongjun Wang, Peng Jin,Hua Meng,Tianrui Li.IEEE Transactions on Cybernetics,2018:4321 - 4334
- Particle Subswarms Collaborative Clustering,Collins Census,Hongjun Wang, Ping Deng,Ji Zhang,Tianrui Li.IEEE Transactions on Computational Social Systems,2019,Volume: 6(Issue: 6, December 2019):1165 - 1179
- A factor graph model for unsupervised feature selection,Hongjun Wang,Hongjun Wang, Lingxi Peng, Ji Zhang,Yinghui Zhang,Tianrui Li.Information Sciences,2018,Volume 480,(April 2019,):Pages 144-159
- Nonnegative matrix factorization for clustering ensemble based on dark knowledge,WentingYe,HongjunWang,ShanYan, YanYang,Tianrui Li.KNOWLEDGE-BASED SYSTEMS,2018,Volume 163,(1 January 2019,):Pages 624-631
- Linear discriminant analysis guided by unsupervised ensemble learning,Ping Deng,Hongjun Wang, Xinwen Zhu, Shi-Jinn Horng,Tianrui Li.Information Sciences,2018,Volume 480(April 2019):Pages 211-221
- Robust graph regularized nonnegative matrix factorization for clustering,Shudong Huang,Hongjun Wang,Tao Li, Zenglin Xu,Tianrui Li.Data Mining and Knowledge Discovery,2017(32):483–503 (2018)
- An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation,Zeng Yu, Hongjun Wang, Yunge Jing, Yi Pan, Shi-Jinn Horng,Tianrui Li.IEEE Transactions on NanoBioscience,2016,Volume: 16(Issue: 1, January 2017):21 - 33
- 基于密度峰值的聚类集成,褚睿鸿,wanghongjun,Ellen,Tianrui Li.自动化学报,2016,Vol.42(No.9):1401-1412