Jun Huang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Specific Features

Attention Mechanism

Top Venues

Publications

Xiwen Qu, Jun Huang, Zekai Cheng
Discriminative dictionary learning for nonnegative representation based classification. Expert Syst. Appl. 251 (2024)
Jun Huang, Dian Wang, Xudong Hong, Xiwen Qu, Wei Xue
Cross-modality semantic guidance for multi-label image classification. Intell. Data Anal. 28 (3) (2024)
Xiwen Qu, Zhihong Wu, Jun Huang
End-to-end attention convolutional recurrent network for online handwritten Chinese text recognition. Multim. Tools Appl. 83 (23) (2024)
Tao Tao, Siwen Li, Jun Huang, Shudong Hou, Huajun Gong
A Symmetry Histogram Publishing Method Based on Differential Privacy. Symmetry 15 (5) (2023)
Zhihong Wu, Xiwen Qu, Jun Huang, Xuangou Wu
In-Air Handwritten Chinese Text Recognition with Attention Convolutional Recurrent Network. MMM (2) (2023)
Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng
Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. ASE (2023)
Jun Huang, Yang Yang, Hang Yu, Jianguo Li, Xiao Zheng
Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. CoRR (2023)
Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng
Multi-layered semantic representation network for multi-label image classification. Int. J. Mach. Learn. Cybern. 14 (10) (2023)
Minghong Ye, Xiwen Qu, Jun Huang, Xuangou Wu
In-air Handwriting System Based on Improved YOLOv5 algorithm and Monocular Camera. ICTAI (2022)
Xiuyan Hao, Jun Huang, Feng Qin, Xiao Zheng
Multi-label learning with missing features and labels and its application to text categorization. Intell. Syst. Appl. 14 (2022)
Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. Big Data (2022)
Jun Huang, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong
Discovering Unknown Labels for Multi-Label Image Classification. ICDM (Workshops) (2022)
Xiwen Qu, Hao Che, Jun Huang, Linchuan Xu, Xiao Zheng
Multi-layered Semantic Representation Network for Multi-label Image Classification. CoRR (2021)
Jun Huang, Linchuan Xu, Kun Qian, Jing Wang, Kenji Yamanishi
Multi-label learning with missing and completely unobserved labels. Data Min. Knowl. Discov. 35 (3) (2021)
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
Discovering Latent Class Labels for Multi-Label Learning. IJCAI (2020)
Jun Huang, Pingzhao Zhang, Huiyi Zhang, Guorong Li, Haowei Rui
Multi-Label Learning via Feature and Label Space Dimension Reduction. IEEE Access 8 (2020)
Linchuan Xu, Jun Huang, Atsushi Nitanda, Ryo Asaoka, Kenji Yamanishi
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. CoRR (2020)
Jun Huang, Haowei Rui, Guorong Li, Xiwen Qu, Tao Tao, Xiao Zheng
Multi-Label Learning With Hidden Labels. IEEE Access 8 (2020)
Li Huang, Xiao Zheng, Shuai Ding, Zhi Liu, Jun Huang
Enhancing the Performance of Cuckoo Search Algorithm with Multi-Learning Strategies. IEICE Trans. Inf. Syst. (10) (2019)
Jun Huang, Xiwen Qu, Guorong Li, Feng Qin, Xiao Zheng, Qingming Huang
Multi-View Multi-Label Learning With View-Label-Specific Features. IEEE Access 7 (2019)
Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang, Qingming Huang
Improving multi-label classification with missing labels by learning label-specific features. Inf. Sci. 492 (2019)
Zhe Xue, Guorong Li, Shuhui Wang, Jun Huang, Weigang Zhang, Qingming Huang
Beyond global fusion: A group-aware fusion approach for multi-view image clustering. Inf. Sci. 493 (2019)
Jun Huang, Feng Qin, Xiao Zheng, Zekai Cheng, Zhixiang Yuan, Weigang Zhang
Learning Label-Specific Features for Multi-Label Classification with Missing Labels. BigMM (2018)
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
Joint Feature Selection and Classification for Multilabel Learning. IEEE Trans. Cybern. 48 (3) (2018)
Jun Huang, Guorong Li, Shuhui Wang, Zhe Xue, Qingming Huang
Multi-label classification by exploiting local positive and negative pairwise label correlation. Neurocomputing 257 (2017)
Guorong Li, Bingpeng Ma, Jun Huang, Qingming Huang, Weigang Zhang
Beyond appearance model: Learning appearance variations for object tracking. Neurocomputing 214 (2016)
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Jun Huang, Guorong Li, Shuhui Wang, Weigang Zhang, Qingming Huang
Group sensitive Classifier Chains for multi-label classification. ICME (2015)
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
Learning Label Specific Features for Multi-label Classification. ICDM (2015)
Jun Huang, Guorong Li, Shuhui Wang, Qingming Huang
Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation. ICDM Workshops (2014)