Unsupervised feature extraction using a learned graph with clustering structure. - Wenzhang Zhuge; Chenping Hou; Feiping Nie 001; Dongyun Yi (ICPR, 2016)

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph. - Wenzhang Zhuge; Feiping Nie 001; Chenping Hou; Dongyun Yi (IEEE Trans. Knowl. Data Eng., 2017)

Co-learning Binary Classifiers for LP-Based Multi-label Classification. - Jincheng Shan; Chenping Hou; Wenzhang Zhuge; Dongyun Yi (IScIDE, 2018)

Incomplete Multi-view Clustering via Structured Graph Learning. - Jie Wu; Wenzhang Zhuge; Hong Tao; Chenping Hou; Zhao Zhang 001 (PRICAI (1), 2018)

Partial multi-view spectral clustering. - Yang Cai; Yuanyuan Jiao; Wenzhang Zhuge; Hong Tao; Chenping Hou (Neurocomputing, 2018)

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. - Wenzhang Zhuge; Chenping Hou; Xinwang Liu 002; Hong Tao; Dongyun Yi (IJCAI, 2019)

Co-learning binary classifiers for LP-based multi-label classification. - Jincheng Shan; Chenping Hou; Hong Tao; Wenzhang Zhuge; Dongyun Yi (Cogn. Syst. Res., 2019)

Full Representation Data Embedding via Nonoverlapping Historical Features. - Jincheng Shan; Chenping Hou; Hong Tao; Wenzhang Zhuge; Dongyun Yi (IEEE Trans. Cybern., 2019)

Optimal Representative Distribution Margin Machine for Multi-Instance Learning. - Tianxiang Luan; Tingjin Luo; Wenzhang Zhuge; Chenping Hou (IEEE Access, 2020)

Multi-View Spectral Clustering With Incomplete Graphs. - Wenzhang Zhuge; Tingjin Luo; Hong Tao; Chenping Hou; Dongyun Yi (IEEE Access, 2020)

Randomized multi-label subproblems concatenation via error correcting output codes. - Jincheng Shan; Chenping Hou; Hong Tao; Wenzhang Zhuge; Dongyun Yi (Neurocomputing, 2020)

Joint consensus and diversity for multi-view semi-supervised classification. - Wenzhang Zhuge; Chenping Hou; Shaoliang Peng; Dongyun Yi (Mach. Learn., 2020)

Multi-view subspace learning via bidirectional sparsity. - Ruidong Fan; Tingjin Luo; Wenzhang Zhuge; Sheng Qiang; Chenping Hou (Pattern Recognit., 2020)

Active label distribution learning. - Xinyue Dong; Shilin Gu; Wenzhang Zhuge; Tingjin Luo; Chenping Hou (Neurocomputing, 2021)

Incomplete multi-view learning via half-quadratic minimization. - Jiacheng Jiang; Hong Tao; Ruidong Fan; Wenzhang Zhuge; Chenping Hou (Neurocomputing, 2021)

Fragmentary Multi-Instance Classification. - Jie Wu; Wenzhang Zhuge; Xinwang Liu 002; Li Liu 002; Chenping Hou (IEEE Trans. Cybern., 2021)

Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. - Wenzhang Zhuge; Hong Tao; Tingjin Luo; Ling-Li Zeng; Chenping Hou; Dongyun Yi (IEEE Trans. Knowl. Data Eng., 2022)

Semi-Supervised Learning With Label Proportion. - Ningzhao Sun; Tingjin Luo; Wenzhang Zhuge; Hong Tao; Chenping Hou; Dewen Hu (IEEE Trans. Knowl. Data Eng., 2023)

Active label distribution learning via kernel maximum mean discrepancy. - Xinyue Dong; Tingjin Luo; Ruidong Fan; Wenzhang Zhuge; Chenping Hou (Frontiers Comput. Sci., 2023)

Absent Multiview Semisupervised Classification. - Wenzhang Zhuge; Tingjin Luo; Ruidong Fan; Hong Tao; Chenping Hou; Dongyun Yi (IEEE Trans. Cybern., 2024)

Multi-Instance Learning with One Side Label Noise. - Tianxiang Luan; Shilin Gu; Xijia Tang; Wenzhang Zhuge; Chenping Hou (ACM Trans. Knowl. Discov. Data, 2024)