Chenping Hou - RankMe

129 papers A* 16B 5C 1Misc 1Journal 98Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Disentangled Representation Learning for Incomplete Multi-View Multi-Label Classification. CoRR Quanjiang Li, Zhiming Liu, Tianxiang Xu, Tingjin Luo, Chenping Hou
2026	J	`jnl`	Data Freshness Performance Analysis and Optimization in Timely and Secure Low Altitude Economics. IEEE Trans. Cogn. Commun. Netw. Yaoqi Yang, Ming He, Wei Han, Xin Lu, Chenping Hou
2026	J	`jnl`	Feature Incremental Clustering with Generalization Bounds. CoRR Jing Zhang, Chenping Hou
2026	A*	`conf`	Multi-Label Classification with Incremental and Decremental Features. AAAI Mingdie Jiang, Quanjiang Li, Tingjin Luo, Yiping Song, Chenping Hou
2026	J	`jnl`	NLSC: A noise-robust label shift correction framework via three-head training and class-adaptive cleaning. Inf. Sci. Xiaowen Wu, Ruidong Fan, Tingjin Luo, Chenping Hou
2026	A*	`conf`	Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels. AAAI Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou
2026	J	`jnl`	Non-Convex Transfer Subspace Learning via Embedded Distribution Alignment. IEEE Trans. Image Process. Tingjin Luo, Yueying Liu, Xinyue Zhang, Chenping Hou
2026	J	`jnl`	Structure sparsity-induced bipartite graph learning for multi-view clustering. Frontiers Comput. Sci. Yuxin Huo, Hongyu Jiang, Hong Tao, Chenping Hou
2026	J	`jnl`	Unaligned multi-view clustering via diversified anchor graph fusion. Pattern Recognit. Hongyu Jiang, Hong Tao, Zhangqi Jiang, Chenping Hou
2025	J	`jnl`	Adaptive Learning for Dynamic Features and Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. Shilin Gu, Chao Xu, Dewen Hu, Chenping Hou
2025	J	`jnl`	Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution. IEEE Trans. Knowl. Data Eng. Jiahang Tu, Xijia Tang, Shilin Gu, Yucong Dai, Ruidong Fan, Chenping Hou
2025	J	`jnl`	Confidence-Based PU Learning With Instance-Dependent Label Noise. IEEE Trans. Neural Networks Learn. Syst. Xijia Tang, Chao Xu, Hong Tao, Xiaoyu Ma, Chenping Hou
2025	J	`jnl`	Continuous Subspace Optimization for Continual Learning. CoRR Quan Cheng, Yuanyu Wan, Lingyu Wu, Chenping Hou, Lijun Zhang
2025	J	`jnl`	Debiasing weighted multi-view k-means clustering based on causal regularization. Pattern Recognit. Xiuqi Huang, Hong Tao, Haotian Ni, Chenping Hou
2025	J	`jnl`	FASTEN: Fuzzy Neural Support Vector Machine for Classification. IEEE Trans. Fuzzy Syst. Zhian Yuan, Yuhua Qian, Xinyan Liang, Yi Kou, Chenping Hou, Qinghua Hu
2025	A*	`conf`	Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. IJCAI Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang
2025	J	`jnl`	Gradient-based causal discovery with latent variables. Mach. Learn. Haotian Ni, Tian-Zuo Wang, Hong Tao, Xiuqi Huang, Chenping Hou
2025	A*	`conf`	Heterogeneous Label Shift: Theory and Algorithm. ICML Chao Xu, Xijia Tang, Chenping Hou
2025	—	`conf`	Incremental Label Distribution Learning. KDD (1) Chao Xu, Xijia Tang, Hong Tao, Chenping Hou
2025	A*	`conf`	Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret. CVPR Yucong Dai, Shilin Gu, Ruidong Fan, Chao Xu, Chenping Hou
2025	J	`jnl`	Low-rank multi-view subspace clustering via adaptive weight. Intell. Data Anal. Yuanyuan Jiao, Xiao Ouyang, Ruidong Fan, Chenping Hou
2025	J	`jnl`	Model Rectification With Simultaneous Incremental Feature and Partial Label Set. IEEE Trans. Pattern Anal. Mach. Intell. Xijia Tang, Chao Xu, Chenping Hou
2025	J	`jnl`	Nonconvex and adaptive multi-Label learning for highly incomplete labels. Knowl. Based Syst. Tingjin Luo, Quanjiang Liang, Mingdie Jiang, Chenping Hou
2025	A*	`conf`	On the Generalization of Feature Incremental Learning. IJCAI Chao Xu, Xijia Tang, Lijun Zhang, Chenping Hou
2025	J	`jnl`	One-Step Pairwise Constrained Multi-View Clustering in Linear Time. IEEE Trans. Knowl. Data Eng. Wenjun Yu, Hong Tao, Chenping Hou
2025	A*	`conf`	One-step Label Shift Adaptation via Robust Weight Estimation. IJCAI Ruidong Fan, Xiao Ouyang, Tingjin Luo, Lijun Zhang, Chenping Hou
2025	J	`jnl`	RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data. IEEE Trans. Neural Networks Learn. Syst. Jieting Wang, Feijiang Li, Jue Li, Chenping Hou, Yuhua Qian, Jiye Liang
2025	—	`conf`	Robust Label Shift Correction via Denoising Expectation-Maximization. PRCV (1) Xiaowen Wu, Ruidong Fan, Chenping Hou
2025	A*	`conf`	Scalable One-step Unaligned Multi-view Clustering via Joint High-Order Correlation Learning. ACM Multimedia Hongyu Jiang, Yuxin Huo, Sirou Sheng, Hong Tao, Chenping Hou
2025	A*	`conf`	Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. AAAI Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li
2024	J	`jnl`	Absent Multiview Semisupervised Classification. IEEE Trans. Cybern. Wenzhang Zhuge, Tingjin Luo, Ruidong Fan, Hong Tao, Chenping Hou, Dongyun Yi
2024	J	`jnl`	An adaptive energy-based sequential method for training PINNs to solve gradient flow equations. Appl. Math. Comput. Jia Guo, Haifeng Wang, Chenping Hou
2024	J	`jnl`	Compound Weakly Supervised Clustering. IEEE Trans. Image Process. Hong Tao, Jiacheng Jiang, Chenping Hou, Tingjin Luo, Ruidong Fan, Jing Zhang
2024	J	`jnl`	Constrained clustering with weak label prior. Frontiers Comput. Sci. Jing Zhang, Ruidong Fan, Hong Tao, Jiacheng Jiang, Chenping Hou
2024	J	`jnl`	Deep Learning for Visual Speech Analysis: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
2024	J	`jnl`	Feature incremental learning with causality. Pattern Recognit. Haotian Ni, Shilin Gu, Ruidong Fan, Chenping Hou
2024	A*	`conf`	Imbalanced Multi-instance Multi-label Learning via Coding Ensemble and Adaptive Thresholds. ACM Multimedia Xinyue Zhang, Tingjin Luo, Yueying Liu, Chenping Hou
2024	A*	`conf`	Label Shift Correction via Bidirectional Marginal Distribution Matching. KDD Ruidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou
2024	J	`jnl`	Learning With Incremental Instances and Features. IEEE Trans. Neural Networks Learn. Syst. Shilin Gu, Yuhua Qian, Chenping Hou
2024	J	`jnl`	Multi-Instance Learning with One Side Label Noise. ACM Trans. Knowl. Discov. Data Tianxiang Luan, Shilin Gu, Xijia Tang, Wenzhang Zhuge, Chenping Hou
2024	J	`jnl`	Online imbalance learning with unpredictable feature evolution and label scarcity. Neurocomputing Jiahang Tu, Shilin Gu, Chenping Hou
2024	J	`jnl`	Theoretically Guaranteed Distribution Adaptable Learning. CoRR Chao Xu, Xijia Tang, Guoqing Liu, Yuhua Qian, Chenping Hou
2024	J	`jnl`	Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture. CoRR Ruidong Fan, Xiao Ouyang, Hong Tao, Yuhua Qian, Chenping Hou
2023	J	`jnl`	Active label distribution learning via kernel maximum mean discrepancy. Frontiers Comput. Sci. Xinyue Dong, Tingjin Luo, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
2023	J	`jnl`	Adaptive Feature Selection With Augmented Attributes. IEEE Trans. Pattern Anal. Mach. Intell. Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu
2023	J	`jnl`	Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing Xiuqi Huang, Haotian Ni, Tingjin Luo, Hong Tao, Chenping Hou
2023	J	`jnl`	Imbalanced Clustering With Theoretical Learning Bounds. IEEE Trans. Knowl. Data Eng. Jing Zhang, Hong Tao, Chenping Hou
2023	J	`jnl`	Incomplete Multi-View Learning Under Label Shift. IEEE Trans. Image Process. Ruidong Fan, Xiao Ouyang, Tingjin Luo, Dewen Hu, Chenping Hou
2023	J	`jnl`	Incremental Learning for Simultaneous Augmentation of Feature and Class. IEEE Trans. Pattern Anal. Mach. Intell. Chenping Hou, Shilin Gu, Chao Xu, Yuhua Qian
2023	J	`jnl`	Label Distribution Changing Learning with Sample Space Expanding. J. Mach. Learn. Res. Chao Xu, Hong Tao, Jing Zhang, Dewen Hu, Chenping Hou
2023	J	`jnl`	Online Learning With Incremental Feature Space and Bandit Feedback. IEEE Trans. Knowl. Data Eng. Shilin Gu, Tingjin Luo, Ming He, Chenping Hou
2023	J	`jnl`	SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Ling-Li Zeng, Kai Gao, Dewen Hu, Zhichao Feng, Chenping Hou, Pengfei Rong, Wei Wang
2023	J	`jnl`	Semi-Supervised Learning With Label Proportion. IEEE Trans. Knowl. Data Eng. Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu
2022	J	`jnl`	A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks. CoRR Jia Guo, Haifeng Wang, Chenping Hou
2022	J	`jnl`	Deep Learning for Visual Speech Analysis: A Survey. CoRR Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
2022	J	`jnl`	Incremental Feature Spaces Learning with Label Scarcity. ACM Trans. Knowl. Discov. Data Shilin Gu, Yuhua Qian, Chenping Hou
2022	J	`jnl`	Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. IEEE Trans. Knowl. Data Eng. Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi
2022	J	`jnl`	Multi-instance positive and unlabeled learning with bi-level embedding. Intell. Data Anal. Xijia Tang, Chao Xu, Tingjin Luo, Chenping Hou
2022	J	`jnl`	Safe incomplete label distribution learning. Pattern Recognit. Jing Zhang, Hong Tao, Tingjin Luo, Chenping Hou
2021	J	`jnl`	Active label distribution learning. Neurocomputing Xinyue Dong, Shilin Gu, Wenzhang Zhuge, Tingjin Luo, Chenping Hou
2021	J	`jnl`	Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou
2021	J	`jnl`	Fragmentary label distribution learning via graph regularized maximum entropy criteria. Pattern Recognit. Lett. Chao Xu, Shilin Gu, Hong Tao, Chenping Hou
2021	J	`jnl`	Incomplete multi-view learning via half-quadratic minimization. Neurocomputing Jiacheng Jiang, Hong Tao, Ruidong Fan, Wenzhang Zhuge, Chenping Hou
2021	J	`jnl`	Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning. IEEE Trans. Cybern. Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu, Dewen Hu
2021	—	`conf`	Multiple Instance Learning for Unilateral Data. PAKDD (1) Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou
2020	J	`jnl`	Joint consensus and diversity for multi-view semi-supervised classification. Mach. Learn. Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi
2020	J	`jnl`	Latent Complete Row Space Recovery for Multi-View Subspace Clustering. IEEE Trans. Image Process. Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
2020	J	`jnl`	Multi-View Spectral Clustering With Incomplete Graphs. IEEE Access Wenzhang Zhuge, Tingjin Luo, Hong Tao, Chenping Hou, Dongyun Yi
2020	J	`jnl`	Multi-view subspace learning via bidirectional sparsity. Pattern Recognit. Ruidong Fan, Tingjin Luo, Wenzhang Zhuge, Sheng Qiang, Chenping Hou
2020	J	`jnl`	Multiview Classification With Cohesion and Diversity. IEEE Trans. Cybern. Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
2020	J	`jnl`	Optimal Representative Distribution Margin Machine for Multi-Instance Learning. IEEE Access Tianxiang Luan, Tingjin Luo, Wenzhang Zhuge, Chenping Hou
2020	J	`jnl`	Randomized multi-label subproblems concatenation via error correcting output codes. Neurocomputing Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
2020	J	`jnl`	Semi-supervised multi-label feature learning via label enlarged discriminant analysis. Knowl. Inf. Syst. Baolin Guo, Hong Tao, Chenping Hou, Dongyun Yi
2019	J	`jnl`	Active learning with error-correcting output codes. Neurocomputing Shilin Gu, Yang Cai, Jincheng Shan, Chenping Hou
2019	J	`jnl`	Co-learning binary classifiers for LP-based multi-label classification. Cogn. Syst. Res. Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
2019	J	`jnl`	Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis. IEEE Trans. Cybern. Tingjin Luo, Chenping Hou, Feiping Nie, Dongyun Yi
2019	J	`jnl`	Full Representation Data Embedding via Nonoverlapping Historical Features. IEEE Trans. Cybern. Jincheng Shan, Chenping Hou, Hong Tao, Wenzhang Zhuge, Dongyun Yi
2019	J	`jnl`	Latent Complete Row Space Recovery for Multi-view Subspace Clustering. CoRR Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
2019	Misc	`conf`	Learning Compact Partial Differential Equations for Color Images with Efficiency. ICASSP Zhenyu Zhao, Chenping Hou, Bo Lin, Cong Fang
2019	—	`conf`	Multi-label Active Learning with Error Correcting Output Codes. PAKDD (2) Ningzhao Sun, Jincheng Shan, Chenping Hou
2019	J	`jnl`	Recursive Maximum Margin Active Learning. IEEE Access Shilin Gu, Yuanyuan Jiao, Hong Tao, Chenping Hou
2019	J	`jnl`	Safe Classification with Augmented Features. IEEE Trans. Pattern Anal. Mach. Intell. Chenping Hou, Ling-Li Zeng, Dewen Hu
2019	A*	`conf`	Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data. IJCAI Wenzhang Zhuge, Chenping Hou, Xinwang Liu, Hong Tao, Dongyun Yi
2018	—	`conf`	Co-learning Binary Classifiers for LP-Based Multi-label Classification. IScIDE Jincheng Shan, Chenping Hou, Wenzhang Zhuge, Dongyun Yi
2018	—	`conf`	Incomplete Multi-view Clustering via Structured Graph Learning. PRICAI (1) Jie Wu, Wenzhang Zhuge, Hong Tao, Chenping Hou, Zhao Zhang
2018	J	`jnl`	Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning. CoRR Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
2018	J	`jnl`	Learning sparse partial differential equations for vector-valued images. Neural Comput. Appl. Yuanyuan Jiao, Xiaogang Pan, Zhenyu Zhao, Chenping Hou
2018	B	`conf`	Low Rank Multi-Label Classification with Missing Labels. ICPR Baolin Guo, Chenping Hou, Jincheng Shan, Dongyun Yi
2018	J	`jnl`	One-Pass Learning with Incremental and Decremental Features. IEEE Trans. Pattern Anal. Mach. Intell. Chenping Hou, Zhi-Hua Zhou
2018	J	`jnl`	Partial multi-view spectral clustering. Neurocomputing Yang Cai, Yuanyuan Jiao, Wenzhang Zhuge, Hong Tao, Chenping Hou
2018	A*	`conf`	Reliable Multi-View Clustering. AAAI Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
2018	J	`jnl`	Robust feature selection via simultaneous sapped norm and sparse regularizer minimization. Neurocomputing Gongmin Lan, Chenping Hou, Feiping Nie, Tingjin Luo, Dongyun Yi
2018	J	`jnl`	Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition. IEEE Trans. Knowl. Data Eng. Tingjin Luo, Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
2018	—	`conf`	Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin
2017	J	`jnl`	2D Feature Selection by Sparse Matrix Regression. IEEE Trans. Image Process. Chenping Hou, Yuanyuan Jiao, Feiping Nie, Tingjin Luo, Zhi-Hua Zhou
2017	J	`jnl`	Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight. IEEE Trans. Knowl. Data Eng. Chenping Hou, Feiping Nie, Hong Tao, Dongyun Yi
2017	C	`conf`	Multi-view Clustering with Adaptively Learned Graph. ACML Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi
2017	J	`jnl`	Scalable Multi-View Semi-Supervised Classification via Adaptive Regression. IEEE Trans. Image Process. Hong Tao, Chenping Hou, Feiping Nie, Jubo Zhu, Dongyun Yi
2017	J	`jnl`	Secure Classification With Augmented Features. CoRR Chenping Hou, Ling-Li Zeng, Dewen Hu
2017	J	`jnl`	Unsupervised Single and Multiple Views Feature Extraction with Structured Graph. IEEE Trans. Knowl. Data Eng. Wenzhang Zhuge, Feiping Nie, Chenping Hou, Dongyun Yi
2016	A*	`conf`	Discriminative Vanishing Component Analysis. AAAI Chenping Hou, Feiping Nie, Dacheng Tao
2016	J	`jnl`	Discriminative orthogonal elastic preserving projections for classification. Neurocomputing Tingjin Luo, Chenping Hou, Dongyun Yi, Jun Zhang
2016	J	`jnl`	Effective Discriminative Feature Selection With Nontrivial Solution. IEEE Trans. Neural Networks Learn. Syst. Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
2016	J	`jnl`	One-Pass Learning with Incremental and Decremental Features. CoRR Chenping Hou, Zhi-Hua Zhou
2016	A*	`conf`	Semi-Supervised Multi-label Dimensionality Reduction. ICDM Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi
2016	B	`conf`	Unsupervised feature extraction using a learned graph with clustering structure. ICPR Wenzhang Zhuge, Chenping Hou, Feiping Nie, Dongyun Yi
2015	J	`jnl`	Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. Chenping Hou, Feiping Nie, Dongyun Yi, Dacheng Tao
2015	J	`jnl`	Effective Discriminative Feature Selection with Non-trivial Solutions. CoRR Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
2014	J	`jnl`	Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection. IEEE Trans. Cybern. Chenping Hou, Feiping Nie, Xuelong Li, Dongyun Yi, Yi Wu
2014	J	`jnl`	Learning high-dimensional correspondence via manifold learning and local approximation. Neural Comput. Appl. Chenping Hou, Feiping Nie, Hua Wang, Dongyun Yi, Changshui Zhang
2014	J	`jnl`	Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu
2013	J	`jnl`	An Adaptive Approach to Learning Optimal Neighborhood Kernels. IEEE Trans. Cybern. Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou, Jian Zhang
2013	J	`jnl`	Efficient Image Classification via Multiple Rank Regression. IEEE Trans. Image Process. Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
2013	J	`jnl`	Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu
2013	J	`jnl`	Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning. Neural Comput. Appl. Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu
2013	B	`conf`	Robust non-negative matrix factorization via joint sparse and graph regularization. IJCNN Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng
2012	J	`jnl`	A general framework for transfer sparse subspace learning. Neural Comput. Appl. Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu
2012	J	`jnl`	Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction. Pattern Recognit. Lett. Feiping Nie, Shiming Xiang, Yun Liu, Chenping Hou, Changshui Zhang
2012	J	`jnl`	Unsupervised maximum margin feature selection via L 2, 1-norm minimization. Neural Comput. Appl. Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu
2011	A*	`conf`	Feature Selection via Joint Embedding Learning and Sparse Regression. IJCAI Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
2011	—	`conf`	GM-transfer: Graph-based model for transfer learning. ACPR Shizhun Yang, Chenping Hou, Yi Wu
2011	B	`conf`	Semi-supervised Dimensionality Reduction via Harmonic Functions. MDAI Chenping Hou, Feiping Nie, Yi Wu
2011	J	`jnl`	Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu
2011	B	`conf`	Uncovering Community Structure in Social Networks by Clique Correlation. MDAI Xu Liu, Chenping Hou, Qiang Luo, Dongyun Yi
2010	J	`jnl`	Multiple view semi-supervised dimensionality reduction. Pattern Recognit. Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie
2009	J	`jnl`	Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu
2009	J	`jnl`	Local linear transformation embedding. Neurocomputing Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi
2009	J	`jnl`	Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations. Neural Process. Lett. Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou
2009	J	`jnl`	Stable local dimensionality reduction approaches. Pattern Recognit. Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao