Chenping Hou

发表

Relaxed maximum-variance unfolding

Chenping Hou, Yuanyuan Jiao, Yi Wu, 2008 .

Unsupervised feature extraction using a learned graph with clustering structure

Feiping Nie, Chenping Hou, Dongyun Yi, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Secure Classification With Augmented Features pdf

Chenping Hou, Dewen Hu, Ling-Li Zeng, 2017, ArXiv.

Discriminative Vanishing Component Analysis

Feiping Nie, Chenping Hou, Dacheng Tao, 2016, AAAI.

A general framework for transfer sparse subspace learning

Yi Wu, Chenping Hou, Changshui Zhang, 2012, Neural Computing and Applications.

Co-learning binary classifiers for LP-based multi-label classification

Chenping Hou, Dongyun Yi, Wenzhang Zhuge, 2018, Cognitive Systems Research.

Semi-supervised Learning Using Nonnegative Matrix Factorization and Harmonic Functions

Chenping Hou, Lin Li, Yi Wu, 2014 .

Uncovering Community Structure in Social Networks by Clique Correlation

Xu Liu, Chenping Hou, Dongyun Yi, 2011, MDAI.

Full Representation Data Embedding via Nonoverlapping Historical Features

Chenping Hou, Dongyun Yi, Wenzhang Zhuge, 2019, IEEE Transactions on Cybernetics.

Semi-supervised Dimensionality Reduction via Harmonic Functions

Feiping Nie, Yi Wu, Chenping Hou, 2011, MDAI.

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Knowledge and Data Engineering.

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis

Feiping Nie, Chenping Hou, Dongyun Yi, 2019, IEEE Transactions on Cybernetics.

Learning high-dimensional correspondence via manifold learning and local approximation

Feiping Nie, Chenping Hou, Dongyun Yi, 2013, Neural Computing and Applications.

Multiview Classification With Cohesion and Diversity

Chenping Hou, Dongyun Yi, Jubo Zhu, 2020, IEEE Transactions on Cybernetics.

Low Rank Multi-Label Classification with Missing Labels

Chenping Hou, Dongyun Yi, Baolin Guo, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition

Feiping Nie, Chenping Hou, Dongyun Yi, 2018, IEEE Transactions on Knowledge and Data Engineering.

Multiple-View Spectral Embedded Clustering Using a Co-training Approach

Chenping Hou, Dongyun Yi, Hong Tao, 2014 .

Robust auto-weighted multi-view subspace clustering with common subspace representation matrix

Chenping Hou, Yuanyuan Jiao, Dongyun Yi, 2017, PloS one.

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Feature Selection via Joint Embedding Learning and Sparse Regression

Feiping Nie, Yi Wu, Chenping Hou, 2022 .

Discriminative orthogonal elastic preserving projections for classification

Chenping Hou, Dongyun Yi, Jun Zhang, 2016, Neurocomputing.

Multi-view Clustering with Adaptively Learned Graph

Chenping Hou, Dongyun Yi, Jubo Zhu, 2017, ACML.

Learning High Dimensional Correspondences Based on Maximum Variance Unfolding

Chenping Hou, Yi Wu, 2007, 2007 International Conference on Mechatronics and Automation.

Efficient Image Classification via Multiple Rank Regression

Feiping Nie, Yi Wu, Chenping Hou, 2013, IEEE Transactions on Image Processing.

Learning a subspace for face image clustering via trace ratio criterion

Feiping Nie, Chenping Hou, Changshui Zhang, 2009 .

Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data

Feiping Nie, Chenping Hou, Dongyun Yi, 2015, IEEE Transactions on Neural Networks and Learning Systems.

One-Pass Learning with Incremental and Decremental Features

Chenping Hou, Zhi-Hua Zhou, Zhi-Hua Zhou, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning a subspace for clustering via pattern shrinking

Feiping Nie, Yi Wu, Chenping Hou, 2013, Inf. Process. Manag..

Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data

Chenping Hou, Dongyun Yi, Wenzhang Zhuge, 2019, IJCAI.

Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning

Chenping Hou, Dongyun Yi, Jubo Zhu, 2018, IEEE Transactions on Cybernetics.

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

Feiping Nie, Chenping Hou, Shiming Xiang, 2012, Pattern Recognit. Lett..

Safe Classification with Augmented Features

Chenping Hou, Dewen Hu, Ling-Li Zeng, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-label Active Learning with Error Correcting Output Codes

Chenping Hou, Jincheng Shan, Ningzhao Sun, 2019, PAKDD.

Unsupervised Maximum Margin Incomplete Multi-view Clustering

Chenping Hou, Dongyun Yi, Jubo Zhu, 2018 .

Incomplete Multi-view Clustering via Structured Graph Learning

Jie Wu, Chenping Hou, Zhao Zhang, 2018, PRICAI.

Chenping Hou, Guangcan Liu, Zhao Zhang, 2018, PRICAI.

Reliable Multi-View Clustering

Chenping Hou, Dongyun Yi, Jubo Zhu, 2018, AAAI.

Learning Compact Partial Differential Equations for Color Images with Efficiency

Chenping Hou, Zhenyu Zhao, Bo Lin, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Co-learning Binary Classifiers for LP-Based Multi-label Classification

Chenping Hou, Dongyun Yi, Wenzhang Zhuge, 2018, IScIDE.

Learning partial differential equations for saliency detection

Chenping Hou, Yuanyuan Jiao, Yi Wu, 2016, 2016 IEEE International Conference on Big Data Analysis (ICBDA).

Latent Complete Row Space Recovery for Multi-View Subspace Clustering

Chenping Hou, Dongyun Yi, Jubo Zhu, 2020, IEEE Transactions on Image Processing.

Functional Parcellation of Human Brain Precuneus Using Density-Based Clustering.

Chenping Hou, Dewen Hu, Zhiguo Luo, 2020, Cerebral cortex.

Stable local dimensionality reduction approaches

Yi Wu, Chenping Hou, Yuanyuan Jiao, 2009, Pattern Recognit..

Multiple view semi-supervised dimensionality reduction

Feiping Nie, Yi Wu, Chenping Hou, 2010, Pattern Recognit..

Randomized multi-label subproblems concatenation via error correcting output codes

Chenping Hou, Dongyun Yi, Wenzhang Zhuge, 2020, Neurocomputing.

Semi-supervised multi-label feature learning via label enlarged discriminant analysis

Chenping Hou, Dongyun Yi, Hong Tao, 2019, Knowledge and Information Systems.

Semisupervised Learning Using Negative Labels

Fei Wang, Feiping Nie, Yi Wu, 2011, IEEE Transactions on Neural Networks.

2D Feature Selection by Sparse Matrix Regression

Feiping Nie, Chenping Hou, Yuanyuan Jiao, 2017, IEEE Transactions on Image Processing.

Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Knowledge and Data Engineering.

Robust feature selection via simultaneous capped ℓ2-norm and ℓ2,1-norm minimization

Chenping Hou, Dongyun Yi, Gongmin Lan, 2016, 2016 IEEE International Conference on Big Data Analysis (ICBDA).

Unsupervised maximum margin feature selection via L2,1-norm minimization

Feiping Nie, Yi Wu, Chenping Hou, 2012, Neural Computing and Applications.

Joint consensus and diversity for multi-view semi-supervised classification

Chenping Hou, Dongyun Yi, Shaoliang Peng, 2019, Machine Learning.

Semi-Supervised Multi-label Dimensionality Reduction

Feiping Nie, Chenping Hou, Dongyun Yi, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Active learning with error-correcting output codes

Chenping Hou, Yang Cai, Jincheng Shan, 2019, Neurocomputing.

An Adaptive Approach to Learning Optimal Neighborhood Kernels

Lei Wang, Jianping Yin, Chenping Hou, 2013, IEEE Transactions on Cybernetics.

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization

Feiping Nie, Chenping Hou, Dongyun Yi, 2018, Neurocomputing.

Multiple rank multi-linear SVM for matrix data classification

Feiping Nie, Yi Wu, Chenping Hou, 2014, Pattern Recognit..

Novel semisupervised high-dimensional correspondences learning method

Chenping Hou, Yuanyuan Jiao, Yi Wu, 2008 .

Learning sparse partial differential equations for vector-valued images

Chenping Hou, Yuanyuan Jiao, Zhenyu Zhao, 2018, Neural Computing and Applications.

GM-transfer: Graph-based model for transfer learning

Yi Wu, Chenping Hou, Shizhun Yang, 2011, The First Asian Conference on Pattern Recognition.

Partial multi-view spectral clustering

Chenping Hou, Yuanyuan Jiao, Yang Cai, 2018, Neurocomputing.

Learning an Orthogonal and Smooth Subspace for Image Classification

Feiping Nie, Yi Wu, Chenping Hou, 2009, IEEE Signal Processing Letters.

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

Xuelong Li, Feiping Nie, Yi Wu, 2014, IEEE Transactions on Cybernetics.

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations

Feiping Nie, Chenping Hou, Shiming Xiang, 2009, Neural Processing Letters.

Local linear transformation embedding

Jing Wang, Yi Wu, Chenping Hou, 2009, Neurocomputing.

Effective Discriminative Feature Selection With Nontrivial Solution

Feiping Nie, Chenping Hou, Yuanyuan Jiao, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Recursive Maximum Margin Active Learning

Chenping Hou, Yuanyuan Jiao, Hong Tao, 2019, IEEE Access.

Robust non-negative matrix factorization via joint sparse and graph regularization

Yi Wu, Chenping Hou, Changshui Zhang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning

Yi Wu, Chenping Hou, Changshui Zhang, 2013, Neural Computing and Applications.

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression

Feiping Nie, Chenping Hou, Dongyun Yi, 2017, IEEE Transactions on Image Processing.

Incomplete multi-view learning via half-quadratic minimization

Chenping Hou, Wenzhang Zhuge, Hong Tao, 2021, Neurocomputing.

Active label distribution learning

Chenping Hou, Wenzhang Zhuge, Tingjin Luo, 2021, Neurocomputing.

Fragmentary Multi-Instance Classification

Chenping Hou, Wenzhang Zhuge, Xinwang Liu, 2019, IEEE Transactions on Cybernetics.

Multiple Instance Learning for Unilateral Data

Chenping Hou, Tianxiang Luan, Tingjin Luo, 2021, PAKDD.

Semi-Supervised Learning With Label Proportion

Chenping Hou, Dewen Hu, Wenzhang Zhuge, 2021, IEEE Transactions on Knowledge and Data Engineering.

Fragmentary label distribution learning via graph regularized maximum entropy criteria

Chenping Hou, Hong Tao, Shilin Gu, 2021, Pattern Recognit. Lett..

Multi-Bernoulli smoother for multi-target tracking

Chenping Hou, Dongyun Yi, Chenping Hou, 2016 .

A Semi-supervised Method for Feature Selection

Yi Wu, Chenping Hou, Wei Yang, 2011, 2011 International Conference on Computational and Information Sciences.

Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity

Chenping Hou, Dewen Hu, Lubin Wang, 2019, Front. Hum. Neurosci..

Generalized Mahalanobis depth in the reproducing kernel Hilbert space

Yonggang Hu, Yi Wu, Chenping Hou, 2011 .