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2020 – today
- 2024
[j70]Jia Guo, Haifeng Wang, Chenping Hou
:
An adaptive energy-based sequential method for training PINNs to solve gradient flow equations. Appl. Math. Comput. 479: 128890 (2024)- [j69]Jing Zhang, Ruidong Fan, Hong Tao, Jiacheng Jiang, Chenping Hou:
Constrained clustering with weak label prior. Frontiers Comput. Sci. 18(3): 183338 (2024) - [j68]Jiahang Tu, Shilin Gu, Chenping Hou:
Online imbalance learning with unpredictable feature evolution and label scarcity. Neurocomputing 610: 128476 (2024) - [j67]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): 6001-6022 (2024) - [j66]Haotian Ni, Shilin Gu, Ruidong Fan, Chenping Hou:
Feature incremental learning with causality. Pattern Recognit. 146: 110033 (2024) - [j65]Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi:
Absent Multiview Semisupervised Classification. IEEE Trans. Cybern. 54(3): 1708-1721 (2024) - [j64]Hong Tao, Jiacheng Jiang, Chenping Hou, Tingjin Luo, Ruidong Fan, Jing Zhang:
Compound Weakly Supervised Clustering. IEEE Trans. Image Process. 33: 957-971 (2024) - [j63]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): 122:1-122:24 (2024) - [j62]Shilin Gu, Yuhua Qian, Chenping Hou:
Learning With Incremental Instances and Features. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9713-9727 (2024) - [c19]Ruidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou:
Label Shift Correction via Bidirectional Marginal Distribution Matching. KDD 2024: 735-746 - 2023
- [j61]Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou:
Active label distribution learning via kernel maximum mean discrepancy. Frontiers Comput. Sci. 17(4): 174327 (2023) - [j60]Xiuqi Huang, Haotian Ni, Tingjin Luo, Hong Tao, Chenping Hou:
Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing 549: 126406 (2023) - [j59]Chao Xu, Hong Tao, Jing Zhang, Dewen Hu, Chenping Hou:
Label Distribution Changing Learning with Sample Space Expanding. J. Mach. Learn. Res. 24: 36:1-36:48 (2023) - [j58]Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu:
Adaptive Feature Selection With Augmented Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9306-9324 (2023) - [j57]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): 10427-10442 (2023) - [j56]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): 14789-14806 (2023) - [j55]Ruidong Fan, Xiao Ouyang, Tingjin Luo, Dewen Hu, Chenping Hou:
Incomplete Multi-View Learning Under Label Shift. IEEE Trans. Image Process. 32: 3702-3716 (2023) - [j54]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): 877-890 (2023) - [j53]Jing Zhang, Hong Tao, Chenping Hou:
Imbalanced Clustering With Theoretical Learning Bounds. IEEE Trans. Knowl. Data Eng. 35(9): 9598-9612 (2023) - [j52]Shilin Gu, Tingjin Luo, Ming He, Chenping Hou:
Online Learning With Incremental Feature Space and Bandit Feedback. IEEE Trans. Knowl. Data Eng. 35(12): 12902-12916 (2023) - 2022
- [j51]Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou:
Multi-instance positive and unlabeled learning with bi-level embedding. Intell. Data Anal. 26(3): 659-678 (2022) - [j50]Jing Zhang, Hong Tao, Tingjin Luo, Chenping Hou:
Safe incomplete label distribution learning. Pattern Recognit. 125: 108518 (2022) - [j49]Shilin Gu, Yuhua Qian, Chenping Hou:
Incremental Feature Spaces Learning with Label Scarcity. ACM Trans. Knowl. Discov. Data 16(6): 106:1-106:26 (2022) - [j48]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): 3826-3840 (2022) - [i7]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 abs/2205.10839 (2022) - [i6]Jia Guo, Haifeng Wang, Chenping Hou:
A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks. CoRR abs/2210.12914 (2022) - 2021
- [j47]Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou:
Active label distribution learning. Neurocomputing 436: 12-21 (2021) - [j46]Jiacheng Jiang, Hong Tao, Ruidong Fan, Wenzhang Zhuge, Chenping Hou:
Incomplete multi-view learning via half-quadratic minimization. Neurocomputing 443: 106-116 (2021) - [j45]Chao Xu, Shilin Gu, Hong Tao, Chenping Hou:
Fragmentary label distribution learning via graph regularized maximum entropy criteria. Pattern Recognit. Lett. 145: 147-156 (2021) - [j44]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): 1690-1703 (2021) - [j43]Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou:
Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. 51(10): 5156-5169 (2021) - [c18]Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou:
Multiple Instance Learning for Unilateral Data. PAKDD (1) 2021: 590-602 - 2020
- [j42]Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou:
Optimal Representative Distribution Margin Machine for Multi-Instance Learning. IEEE Access 8: 74864-74874 (2020) - [j41]Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi:
Multi-View Spectral Clustering With Incomplete Graphs. IEEE Access 8: 99820-99831 (2020) - [j40]Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi:
Randomized multi-label subproblems concatenation via error correcting output codes. Neurocomputing 410: 317-327 (2020) - [j39]Baolin Guo, Hong Tao, Chenping Hou, Dongyun Yi:
Semi-supervised multi-label feature learning via label enlarged discriminant analysis. Knowl. Inf. Syst. 62(6): 2383-2417 (2020) - [j38]Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi:
Joint consensus and diversity for multi-view semi-supervised classification. Mach. Learn. 109(3): 445-465 (2020) - [j37]Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou:
Multi-view subspace learning via bidirectional sparsity. Pattern Recognit. 108: 107524 (2020) - [j36]Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu:
Multiview Classification With Cohesion and Diversity. IEEE Trans. Cybern. 50(5): 2124-2137 (2020) - [j35]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: 8083-8096 (2020)
2010 – 2019
- 2019
- [j34]Shilin Gu, Yuanyuan Jiao, Hong Tao, Chenping Hou:
Recursive Maximum Margin Active Learning. IEEE Access 7: 59933-59943 (2019) - [j33]Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi:
Co-learning binary classifiers for LP-based multi-label classification. Cogn. Syst. Res. 55: 146-152 (2019) - [j32]Shilin Gu, Yang Cai, Jincheng Shan, Chenping Hou:
Active learning with error-correcting output codes. Neurocomputing 364: 182-191 (2019) - [j31]Chenping Hou, Ling-Li Zeng, Dewen Hu:
Safe Classification with Augmented Features. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2176-2192 (2019) - [j30]Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi:
Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. 49(3): 933-946 (2019) - [j29]Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi:
Full Representation Data Embedding via Nonoverlapping Historical Features. IEEE Trans. Cybern. 49(8): 3006-3019 (2019) - [c17]Zhenyu Zhao, Chenping Hou, Bo Lin, Cong Fang:
Learning Compact Partial Differential Equations for Color Images with Efficiency. ICASSP 2019: 3782-3786 - [c16]Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi:
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI 2019: 4482-4488 - [c15]Ningzhao Sun, Jincheng Shan, Chenping Hou:
Multi-label Active Learning with Error Correcting Output Codes. PAKDD (2) 2019: 331-342 - [i5]Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi:
Latent Complete Row Space Recovery for Multi-view Subspace Clustering. CoRR abs/1912.07248 (2019) - 2018
- [j28]Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi:
Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing 283: 228-240 (2018) - [j27]Yang Cai, Yuanyuan Jiao, Wenzhang Zhuge, Hong Tao, Chenping Hou:
Partial multi-view spectral clustering. Neurocomputing 311: 316-324 (2018) - [j26]Yuanyuan Jiao, Xiaogang Pan, Zhenyu Zhao, Chenping Hou:
Learning sparse partial differential equations for vector-valued images. Neural Comput. Appl. 29(11): 1205-1216 (2018) - [j25]Chenping Hou, Zhi-Hua Zhou:
One-Pass Learning with Incremental and Decremental Features. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2776-2792 (2018) - [j24]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): 1943-1956 (2018) - [c14]Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu:
Reliable Multi-View Clustering. AAAI 2018: 4123-4130 - [c13]Baolin Guo, Chenping Hou, Jincheng Shan, Dongyun Yi:
Low Rank Multi-Label Classification with Missing Labels. ICPR 2018: 417-422 - [c12]Jincheng Shan, Chenping Hou, Wenzhang Zhuge, Dongyun Yi:
Co-learning Binary Classifiers for LP-Based Multi-label Classification. IScIDE 2018: 443-453 - [c11]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: 71-84 - [c10]Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang:
Incomplete Multi-view Clustering via Structured Graph Learning. PRICAI (1) 2018: 98-112 - [i4]Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu:
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning. CoRR abs/1812.10012 (2018) - 2017
- [j23]Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou:
2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. 26(9): 4255-4268 (2017) - [j22]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): 4283-4296 (2017) - [j21]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): 1998-2011 (2017) - [j20]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): 2347-2359 (2017) - [c9]Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi:
Multi-view Clustering with Adaptively Learned Graph. ACML 2017: 113-128 - [i3]Chenping Hou, Ling-Li Zeng, Dewen Hu:
Secure Classification With Augmented Features. CoRR abs/1711.00239 (2017) - 2016
- [j19]Tingjin Luo, Chenping Hou, Dongyun Yi, Jun Zhang:
Discriminative orthogonal elastic preserving projections for classification. Neurocomputing 179: 54-68 (2016) - [j18]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): 796-808 (2016) - [c8]Chenping Hou, Feiping Nie, Dacheng Tao:
Discriminative Vanishing Component Analysis. AAAI 2016: 1666-1672 - [c7]Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi:
Semi-Supervised Multi-label Dimensionality Reduction. ICDM 2016: 919-924 - [c6]Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi:
Unsupervised feature extraction using a learned graph with clustering structure. ICPR 2016: 3597-3602 - [i2]Chenping Hou, Zhi-Hua Zhou:
One-Pass Learning with Incremental and Decremental Features. CoRR abs/1605.09082 (2016) - 2015
- [j17]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): 1287-1299 (2015) - [i1]Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi:
Effective Discriminative Feature Selection with Non-trivial Solutions. CoRR abs/1504.05408 (2015) - 2014
- [j16]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): 1555-1568 (2014) - [j15]Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu:
Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. 47(1): 454-469 (2014) - [j14]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): 793-804 (2014) - 2013
- [j13]Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu:
Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. 49(4): 871-883 (2013) - [j12]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): 541-559 (2013) - [j11]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): 371-384 (2013) - [j10]Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu:
Efficient Image Classification via Multiple Rank Regression. IEEE Trans. Image Process. 22(1): 340-352 (2013) - [c5]Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng:
Robust non-negative matrix factorization via joint sparse and graph regularization. IJCNN 2013: 1-5 - 2012
- [j9]Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu:
Unsupervised maximum margin feature selection via L 2, 1-norm minimization. Neural Comput. Appl. 21(7): 1791-1799 (2012) - [j8]Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu:
A general framework for transfer sparse subspace learning. Neural Comput. Appl. 21(7): 1801-1817 (2012) - [j7]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): 485-491 (2012) - 2011
- [j6]Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu:
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22(3): 420-432 (2011) - [c4]Shizhun Yang, Chenping Hou, Yi Wu:
GM-transfer: Graph-based model for transfer learning. ACPR 2011: 37-41 - [c3]Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu:
Feature Selection via Joint Embedding Learning and Sparse Regression. IJCAI 2011: 1324-1329 - [c2]Chenping Hou, Feiping Nie, Yi Wu:
Semi-supervised Dimensionality Reduction via Harmonic Functions. MDAI 2011: 91-102 - [c1]Xu Liu, Chenping Hou, Qiang Luo, Dongyun Yi:
Uncovering Community Structure in Social Networks by Clique Correlation. MDAI 2011: 247-258 - 2010
- [j5]Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie:
Multiple view semi-supervised dimensionality reduction. Pattern Recognit. 43(3): 720-730 (2010)
2000 – 2009
- 2009
- [j4]Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi:
Local linear transformation embedding. Neurocomputing 72(10-12): 2368-2378 (2009) - [j3]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): 89-102 (2009) - [j2]Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao:
Stable local dimensionality reduction approaches. Pattern Recognit. 42(9): 2054-2066 (2009) - [j1]Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu:
Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. 16(4): 303-306 (2009)
Coauthor Index
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