Chenping Hou

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 72

Top Topics

Sparse Regression

Error Correcting Output Codes

Feature Selection

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Cybern.

Publications

Shilin Gu, Yuhua Qian, Chenping Hou
Learning With Incremental Instances and Features. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Haotian Ni, Shilin Gu, Ruidong Fan, Chenping Hou
Feature incremental learning with causality. Pattern Recognit. 146 (2024)
Jing Zhang, Ruidong Fan, Hong Tao, Jiacheng Jiang, Chenping Hou
Constrained clustering with weak label prior. Frontiers Comput. Sci. 18 (3) (2024)
Jia Guo, Haifeng Wang, Chenping Hou
An adaptive energy-based sequential method for training PINNs to solve gradient flow equations. Appl. Math. Comput. 479 (2024)
Hong Tao, Jiacheng Jiang, Chenping Hou, Tingjin Luo, Ruidong Fan, Jing Zhang
Compound Weakly Supervised Clustering. IEEE Trans. Image Process. 33 (2024)
Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi
Absent Multiview Semisupervised Classification. IEEE Trans. Cybern. 54 (3) (2024)
Ruidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou
Label Shift Correction via Bidirectional Marginal Distribution Matching. KDD (2024)
Tianxiang Luan, Shilin Gu, Xijia Tang, Wenzhang Zhuge, Chenping Hou
Multi-Instance Learning with One Side Label Noise. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
Deep Learning for Visual Speech Analysis: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Shilin Gu, Tingjin Luo, Ming He, Chenping Hou
Online Learning With Incremental Feature Space and Bandit Feedback. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu
Adaptive Feature Selection With Augmented Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ling-Li Zeng, Kai Gao, Dewen Hu, Zhichao Feng, Chenping Hou, Pengfei Rong, Wei Wang
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Chao Xu, Hong Tao, Jing Zhang, Dewen Hu, Chenping Hou
Label Distribution Changing Learning with Sample Space Expanding. J. Mach. Learn. Res. 24 (2023)
Xiuqi Huang, Haotian Ni, Tingjin Luo, Hong Tao, Chenping Hou
Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing 549 (2023)
Jing Zhang, Hong Tao, Chenping Hou
Imbalanced Clustering With Theoretical Learning Bounds. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Ruidong Fan, Xiao Ouyang, Tingjin Luo, Dewen Hu, Chenping Hou
Incomplete Multi-View Learning Under Label Shift. IEEE Trans. Image Process. 32 (2023)
Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
Active label distribution learning via kernel maximum mean discrepancy. Frontiers Comput. Sci. 17 (4) (2023)
Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu
Semi-Supervised Learning With Label Proportion. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Chenping Hou, Shilin Gu, Chao Xu, Yuhua Qian
Incremental Learning for Simultaneous Augmentation of Feature and Class. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jing Zhang, Hong Tao, Tingjin Luo, Chenping Hou
Safe incomplete label distribution learning. Pattern Recognit. 125 (2022)
Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Shilin Gu, Yuhua Qian, Chenping Hou
Incremental Feature Spaces Learning with Label Scarcity. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Jia Guo, Haifeng Wang, Chenping Hou
A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks. CoRR (2022)
Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
Deep Learning for Visual Speech Analysis: A Survey. CoRR (2022)
Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou
Multi-instance positive and unlabeled learning with bi-level embedding. Intell. Data Anal. 26 (3) (2022)
Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou
Multiple Instance Learning for Unilateral Data. PAKDD (1) (2021)
Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou
Active label distribution learning. Neurocomputing 436 (2021)
Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu, Dewen Hu
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning. IEEE Trans. Cybern. 51 (3) (2021)
Jiacheng Jiang, Hong Tao, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
Incomplete multi-view learning via half-quadratic minimization. Neurocomputing 443 (2021)
Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou
Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. 51 (10) (2021)
Chao Xu, Shilin Gu, Hong Tao, Chenping Hou
Fragmentary label distribution learning via graph regularized maximum entropy criteria. Pattern Recognit. Lett. 145 (2021)
Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
Latent Complete Row Space Recovery for Multi-View Subspace Clustering. IEEE Trans. Image Process. 29 (2020)
Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
Multiview Classification With Cohesion and Diversity. IEEE Trans. Cybern. 50 (5) (2020)
Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi
Multi-View Spectral Clustering With Incomplete Graphs. IEEE Access 8 (2020)
Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi
Joint consensus and diversity for multi-view semi-supervised classification. Mach. Learn. 109 (3) (2020)
Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou
Multi-view subspace learning via bidirectional sparsity. Pattern Recognit. 108 (2020)
Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
Randomized multi-label subproblems concatenation via error correcting output codes. Neurocomputing 410 (2020)
Baolin Guo, Hong Tao, Chenping Hou, Dongyun Yi
Semi-supervised multi-label feature learning via label enlarged discriminant analysis. Knowl. Inf. Syst. 62 (6) (2020)
Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou
Optimal Representative Distribution Margin Machine for Multi-Instance Learning. IEEE Access 8 (2020)
Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI (2019)
Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
Full Representation Data Embedding via Nonoverlapping Historical Features. IEEE Trans. Cybern. 49 (8) (2019)
Shilin Gu, Yang Cai, Jincheng Shan, Chenping Hou
Active learning with error-correcting output codes. Neurocomputing 364 (2019)
Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. 49 (3) (2019)
Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
Latent Complete Row Space Recovery for Multi-view Subspace Clustering. CoRR (2019)
Shilin Gu, Yuanyuan Jiao, Hong Tao, Chenping Hou
Recursive Maximum Margin Active Learning. IEEE Access 7 (2019)
Chenping Hou, Ling-Li Zeng, Dewen Hu
Safe Classification with Augmented Features. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
Co-learning binary classifiers for LP-based multi-label classification. Cogn. Syst. Res. 55 (2019)
Ningzhao Sun, Jincheng Shan, Chenping Hou
Multi-label Active Learning with Error Correcting Output Codes. PAKDD (2) (2019)
Zhenyu Zhao, Chenping Hou, Bo Lin, Cong Fang
Learning Compact Partial Differential Equations for Color Images with Efficiency. ICASSP (2019)
Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
Reliable Multi-View Clustering. AAAI (2018)
Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) (2018)
Chenping Hou, Zhi-Hua Zhou
One-Pass Learning with Incremental and Decremental Features. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang
Incomplete Multi-view Clustering via Structured Graph Learning. PRICAI (1) (2018)
Yuanyuan Jiao, Xiaogang Pan, Zhenyu Zhao, Chenping Hou
Learning sparse partial differential equations for vector-valued images. Neural Comput. Appl. 29 (11) (2018)
Baolin Guo, Chenping Hou, Jincheng Shan, Dongyun Yi
Low Rank Multi-Label Classification with Missing Labels. ICPR (2018)
Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition. IEEE Trans. Knowl. Data Eng. 30 (10) (2018)
Yang Cai, Yuanyuan Jiao, Wenzhang Zhuge, Hong Tao, Chenping Hou
Partial multi-view spectral clustering. Neurocomputing 311 (2018)
Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning. CoRR (2018)
Jincheng Shan, Chenping Hou, Wenzhang Zhuge, Dongyun Yi
Co-learning Binary Classifiers for LP-Based Multi-label Classification. IScIDE (2018)
Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing 283 (2018)
Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. 26 (9) (2017)
Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight. IEEE Trans. Knowl. Data Eng. 29 (9) (2017)
Chenping Hou, Ling-Li Zeng, Dewen Hu
Secure Classification With Augmented Features. CoRR (2017)
Wenzhang Zhuge, Feiping Nie, Chenping Hou, Dongyun Yi
Unsupervised Single and Multiple Views Feature Extraction with Structured Graph. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)
Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi
Multi-view Clustering with Adaptively Learned Graph. ACML (2017)
Hong Tao, Chenping Hou, Feiping Nie, Jubo Zhu, Dongyun Yi
Scalable Multi-View Semi-Supervised Classification via Adaptive Regression. IEEE Trans. Image Process. 26 (9) (2017)
Chenping Hou, Feiping Nie, Dacheng Tao
Discriminative Vanishing Component Analysis. AAAI (2016)
Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi
Semi-Supervised Multi-label Dimensionality Reduction. ICDM (2016)
Chenping Hou, Zhi-Hua Zhou
One-Pass Learning with Incremental and Decremental Features. CoRR (2016)
Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
Effective Discriminative Feature Selection With Nontrivial Solution. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi
Unsupervised feature extraction using a learned graph with clustering structure. ICPR (2016)
Tingjin Luo, Chenping Hou, Dongyun Yi, Jun Zhang
Discriminative orthogonal elastic preserving projections for classification. Neurocomputing 179 (2016)
Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
Effective Discriminative Feature Selection with Non-trivial Solutions. CoRR (2015)
Chenping Hou, Feiping Nie, Dongyun Yi, Dacheng Tao
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 26 (6) (2015)
Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang
Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. 24 (7-8) (2014)
Chenping Hou, Feiping Nie, Xuelong Li, Dongyun Yi, Yi Wu
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection. IEEE Trans. Cybern. 44 (6) (2014)
Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu
Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. 47 (1) (2014)
Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu
Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. 49 (4) (2013)
Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang
An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. 43 (1) (2013)
Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning. Neural Comput. Appl. 23 (2) (2013)
Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng
Robust non-negative matrix factorization via joint sparse and graph regularization. IJCNN (2013)
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
Efficient Image Classification via Multiple Rank Regression. IEEE Trans. Image Process. 22 (1) (2013)
Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu
A general framework for transfer sparse subspace learning. Neural Comput. Appl. 21 (7) (2012)
Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu
Unsupervised maximum margin feature selection via L 2, 1-norm minimization. Neural Comput. Appl. 21 (7) (2012)
Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognit. Lett. 33 (5) (2012)
Shizhun Yang, Chenping Hou, Yi Wu
GM-transfer: Graph-based model for transfer learning. ACPR (2011)
Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22 (3) (2011)
Xu Liu, Chenping Hou, Qiang Luo, Dongyun Yi
Uncovering Community Structure in Social Networks by Clique Correlation. MDAI (2011)
Chenping Hou, Feiping Nie, Yi Wu
Semi-supervised Dimensionality Reduction via Harmonic Functions. MDAI (2011)
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
Feature Selection via Joint Embedding Learning and Sparse Regression. IJCAI (2011)
Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie
Multiple view semi-supervised dimensionality reduction. Pattern Recognit. 43 (3) (2010)
Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi
Local linear transformation embedding. Neurocomputing 72 (10-12) (2009)
Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou
Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Process. Lett. 30 (2) (2009)
Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu
Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. 16 (4) (2009)
Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao
Stable local dimensionality reduction approaches. Pattern Recognit. 42 (9) (2009)