Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation. - Jun Huang 003; Guorong Li; Shuhui Wang; Qingming Huang (ICDM Workshops, 2014)

Learning Label Specific Features for Multi-label Classification. - Jun Huang 003; Guorong Li; Qingming Huang; Xindong Wu 001 (ICDM, 2015)

Group sensitive Classifier Chains for multi-label classification. - Jun Huang 003; Guorong Li; Shuhui Wang; Weigang Zhang; Qingming Huang (ICME, 2015)

Beyond appearance model: Learning appearance variations for object tracking. - Guorong Li; Bingpeng Ma; Jun Huang 003; Qingming Huang; Weigang Zhang (Neurocomputing, 2016)

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification. - Jun Huang 003; Guorong Li; Qingming Huang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Multi-label classification by exploiting local positive and negative pairwise label correlation. - Jun Huang 003; Guorong Li; Shuhui Wang; Zhe Xue; Qingming Huang (Neurocomputing, 2017)

Learning Label-Specific Features for Multi-Label Classification with Missing Labels. - Jun Huang 003; Feng Qin; Xiao Zheng; Zekai Cheng; Zhixiang Yuan; Weigang Zhang (BigMM, 2018)

Joint Feature Selection and Classification for Multilabel Learning. - Jun Huang 003; Guorong Li; Qingming Huang; Xindong Wu 001 (IEEE Trans. Cybern., 2018)

Multi-View Multi-Label Learning With View-Label-Specific Features. - Jun Huang 003; Xiwen Qu; Guorong Li; Feng Qin; Xiao Zheng; Qingming Huang (IEEE Access, 2019)

Enhancing the Performance of Cuckoo Search Algorithm with Multi-Learning Strategies. - Li Huang; Xiao Zheng; Shuai Ding 001; Zhi Liu 002; Jun Huang 003 (IEICE Trans. Inf. Syst., 2019)

Improving multi-label classification with missing labels by learning label-specific features. - Jun Huang 003; Feng Qin; Xiao Zheng; Zekai Cheng; Zhixiang Yuan; Weigang Zhang; Qingming Huang (Inf. Sci., 2019)

Beyond global fusion: A group-aware fusion approach for multi-view image clustering. - Zhe Xue; Guorong Li; Shuhui Wang; Jun Huang 003; Weigang Zhang; Qingming Huang (Inf. Sci., 2019)

Discovering Latent Class Labels for Multi-Label Learning. - Jun Huang 003; Linchuan Xu; Jing Wang 023; Lei Feng 006; Kenji Yamanishi (IJCAI, 2020)

Multi-Label Learning With Hidden Labels. - Jun Huang 003; Haowei Rui; Guorong Li; Xiwen Qu; Tao Tao; Xiao Zheng (IEEE Access, 2020)

Multi-Label Learning via Feature and Label Space Dimension Reduction. - Jun Huang 003; Pingzhao Zhang; Huiyi Zhang; Guorong Li; Haowei Rui (IEEE Access, 2020)

Incorporating Multiple Cluster Centers for Multi-Label Learning. - Senlin Shu; Fengmao Lv; Lei Feng 006; Jun Huang 003; Shuo He 001; Jun He 012; Li Li 006 (CoRR, 2020)

A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification. - Linchuan Xu; Jun Huang 003; Atsushi Nitanda; Ryo Asaoka; Kenji Yamanishi (CoRR, 2020)

Multi-label learning with missing and completely unobserved labels. - Jun Huang 003; Linchuan Xu; Kun Qian 003; Jing Wang 023; Kenji Yamanishi (Data Min. Knowl. Discov., 2021)

RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. - Zipei Yan; Linchuan Xu; Atsushi Suzuki; Jing Wang 023; Jiannong Cao 001; Jun Huang 003 (IEEE Big Data, 2022)

Discovering Unknown Labels for Multi-Label Image Classification. - Jun Huang 003; Yu Yan; Xiao Zheng; Xiwen Qu; Xudong Hong 001 (ICDM (Workshops), 2022)

In-air Handwriting System Based on Improved YOLOv5 algorithm and Monocular Camera. - Minghong Ye; Xiwen Qu; Jun Huang 003; Xuangou Wu (ICTAI, 2022)

Multi-label learning with missing features and labels and its application to text categorization. - Xiuyan Hao; Jun Huang 003; Feng Qin; Xiao Zheng (Intell. Syst. Appl., 2022)

Regularized Matrix Factorization for Multilabel Learning With Missing Labels. - Lei Feng 006; Jun Huang 003; Senlin Shu; Bo An 001 (IEEE Trans. Cybern., 2022)

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System. - Jun Huang 003; Yang Yang; Hang Yu 002; Jianguo Li; Xiao Zheng (ASE, 2023)

In-Air Handwritten Chinese Text Recognition with Attention Convolutional Recurrent Network. - Zhihong Wu; Xiwen Qu; Jun Huang 003; Xuangou Wu (MMM (2), 2023)

Improving multi-label learning by modeling Local label and feature correlations. - Qianqian Cheng; Jun Huang 003; Huiyi Zhang; Sibao Chen 001; Xiao Zheng (Intell. Data Anal., 2023)

A Symmetry Histogram Publishing Method Based on Differential Privacy. - Tao Tao; Siwen Li; Jun Huang 003; Shudong Hou; Huajun Gong (Symmetry, 2023)

Multi-layered semantic representation network for multi-label image classification. - Xiwen Qu; Hao Che; Jun Huang 003; Linchuan Xu; Xiao Zheng (Int. J. Mach. Learn. Cybern., 2023)

Discriminative dictionary learning for nonnegative representation based classification. - Xiwen Qu; Jun Huang 003; Zekai Cheng (Expert Syst. Appl., 2024)

Cross-modality semantic guidance for multi-label image classification. - Jun Huang 003; Dian Wang; Xudong Hong 001; Xiwen Qu; Wei Xue (Intell. Data Anal., 2024)

Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion. - Xiaobin Zhao; Jun Huang 003; Yunquan Gao; Qingwang Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

End-to-end attention convolutional recurrent network for online handwritten Chinese text recognition. - Xiwen Qu; Zhihong Wu; Jun Huang 003 (Multim. Tools Appl., 2024)

BCN: Bidirectional Contrastive Learning Net for Multi-View Clustering. - Zhe Chen 018; Cheng Ma; Jun Huang 003; Tianyang Xu; Xiaojun Wu 001 (IEEE Signal Process. Lett., 2025)