Jun Huang

According to our database, Jun Huang authored at least 28 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-layered semantic representation network for multi-label image classification.

Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng

Int. J. Mach. Learn. Cybern., October, 2023

A Symmetry Histogram Publishing Method Based on Differential Privacy.

Tao Tao, Siwen Li, Jun Huang, Shudong Hou, Huajun Gong

Symmetry, 2023

Improving multi-label learning by modeling Local label and feature correlations.

Qianqian Cheng, Jun Huang, Huiyi Zhang, Sibao Chen, Xiao Zheng

Intell. Data Anal., 2023

In-Air Handwritten Chinese Text Recognition with Attention Convolutional Recurrent Network.

Zhihong Wu, Xiwen Qu, Jun Huang, Xuangou Wu

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System.

Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Regularized Matrix Factorization for Multilabel Learning With Missing Labels.

Lei Feng, Jun Huang, Senlin Shu, Bo An

IEEE Trans. Cybern., 2022

Multi-label learning with missing features and labels and its application to text categorization.

Xiuyan Hao, Jun Huang, Feng Qin, Xiao Zheng

Intell. Syst. Appl., 2022

In-air Handwriting System Based on Improved YOLOv5 algorithm and Monocular Camera.

Minghong Ye, Xiwen Qu, Jun Huang, Xuangou Wu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Discovering Unknown Labels for Multi-Label Image Classification.

Jun Huang, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation.

Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Multi-label learning with missing and completely unobserved labels.

Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi

Data Min. Knowl. Discov., 2021

2020

A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification.

Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi

CoRR, 2020

Incorporating Multiple Cluster Centers for Multi-Label Learning.

Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li

CoRR, 2020

Multi-Label Learning via Feature and Label Space Dimension Reduction.

Jun Huang, Pingzhao Zhang, Huiyi Zhang, Guorong Li, Haowei Rui

IEEE Access, 2020

Multi-Label Learning With Hidden Labels.

Jun Huang, Haowei Rui, Guorong Li, Xiwen Qu, Tao Tao, Xiao Zheng

IEEE Access, 2020

Discovering Latent Class Labels for Multi-Label Learning.

Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Beyond global fusion: A group-aware fusion approach for multi-view image clustering.

Zhe Xue, Guorong Li, Shuhui Wang, Jun Huang, Weigang Zhang, Qingming Huang

Inf. Sci., 2019

Improving multi-label classification with missing labels by learning label-specific features.

Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang, Qingming Huang

Inf. Sci., 2019

Enhancing the Performance of Cuckoo Search Algorithm with Multi-Learning Strategies.

Li Huang, Xiao Zheng, Shuai Ding, Zhi Liu, Jun Huang

IEICE Trans. Inf. Syst., 2019

Multi-View Multi-Label Learning With View-Label-Specific Features.

Jun Huang, Xiwen Qu, Guorong Li, Feng Qin, Xiao Zheng, Qingming Huang

IEEE Access, 2019

2018

Joint Feature Selection and Classification for Multilabel Learning.

Jun Huang, Guorong Li, Qingming Huang, Xindong Wu

IEEE Trans. Cybern., 2018

Learning Label-Specific Features for Multi-Label Classification with Missing Labels.

Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

Multi-label classification by exploiting local positive and negative pairwise label correlation.

Jun Huang, Guorong Li, Shuhui Wang, Zhe Xue, Qingming Huang

Neurocomputing, 2017

2016

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification.

Jun Huang, Guorong Li, Qingming Huang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2016

Beyond appearance model: Learning appearance variations for object tracking.

Guorong Li, Bingpeng Ma, Jun Huang, Qingming Huang, Weigang Zhang

Neurocomputing, 2016

2015

Group sensitive Classifier Chains for multi-label classification.

Jun Huang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Learning Label Specific Features for Multi-label Classification.

Jun Huang, Guorong Li, Qingming Huang, Xindong Wu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation.

Jun Huang, Guorong Li, Shuhui Wang, Qingming Huang

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