Chong Peng

发表

Log-based Sparse Nonnegative Matrix Factorization for Data Representation

Chong Peng, Yiqun Zhang, Yongyong Chen, 2022, Knowl. Based Syst..

Partition levelmultiview subspace clustering

Joey Tianyi Zhou, Zenglin Xu, Wenyu Chen, 2019 .

On Block Term Tensor Decompositions and Its Applications in Blind Signal Separation

Chong Peng, Ming Yang, Qiang Cheng, 2016 .

Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data

Chong Peng, Q. Cheng, 2019, IEEE Transactions on Neural Networks and Learning Systems.

PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions

G. Jicha, Chong Peng, Donna Wilcock, 2022, ArXiv.

On identifiability of 3-tensors of multilinear rank $(1,\ L_{r},\ L_{r})$

D. Che, M. Xiao, Chong Peng, 2017 .

Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction

R. Charnigo, Chong Peng, Xinxing Wu, 2022, ArXiv.

Machine Learning Approach Predicts Probability of Time to Stage-Specific Conversion of Alzheimer's Disease.

P. Nelson, Chong Peng, Xinxing Wu, 2022, Journal of Alzheimer's disease : JAD.

Preserving bilateral view structural information for subspace clustering

Li Guo, Chong Peng, Yongyong Chen, 2022, Knowl. Based Syst..

Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data pdf

Chong Peng, Qiang Cheng, Chong Peng, 2019, ArXiv.

A Supervised Learning Model for High-Dimensional and Large-Scale Data

Chong Peng, Qiang Cheng, Jie Cheng, 2016, ACM Trans. Intell. Syst. Technol..

Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering pdf

Qiang Cheng, Chong Peng, Zhilu Zhang, 2020, Inf. Sci..

Robust principal component analysis: A factorization-based approach with linear complexity

Qiang Cheng, Chong Peng, Chenglizhao Chen, 2020, Inf. Sci..

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices

Zhao Kang, Chong Peng, Qiang Cheng, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Integrate and Conquer

Zhao Kang, Chong Peng, Qiang Cheng, 2018, ACM Trans. Intell. Syst. Technol..

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering

Zhao Kang, Chong Peng, Qiang Cheng, 2017, ACM Trans. Knowl. Discov. Data.

A Fast Factorization-Based Approach to Robust PCA

Qiang Cheng, Chong Peng, Zhao Kang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Robust PCA Via Nonconvex Rank Approximation

Zhao Kang, Chong Peng, Qiang Cheng, 2015, 2015 IEEE International Conference on Data Mining.

Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering

Chong Peng, Zhongyun Hua, Yongyong Chen, 2021, IEEE Transactions on Image Processing.

Partial Tubal Nuclear Norm Regularized Multi-view Learning

Chong Peng, Yongyong Chen, Yicong Zhou, 2021, ACM Multimedia.

Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering

Chong Peng, Guangming Lu, Yongyong Chen, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Self-Paced Two-dimensional PCA

Chong Peng, Wenyu Chen, Zhao Kang, 2021, AAAI.

Deep learning algorithm reveals probabilities of stage‐specific time to conversion in individuals with neurodegenerative disease LATE

P. Nelson, Chong Peng, Xinxing Wu, 2022, Alzheimer's & dementia.

Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expression

P. Nelson, Chong Peng, Xinxing Wu, 2021, PloS one.

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning

Zhao Kang, Chong Peng, Qiang Cheng, 2017, ACM Trans. Intell. Syst. Technol..

Kernel-driven similarity learning

Zhao Kang, Chong Peng, Qiang Cheng, 2017, Neurocomputing.

Top-N Recommender System via Matrix Completion pdf

Zhao Kang, Chong Peng, Qiang Cheng, 2016, AAAI.

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations

Ming Yang, Zhao Kang, Chong Peng, 2018, Symmetry.

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation

Dong Wang, Yongli Wang, Yanwen Guo, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Nonnegative Matrix Factorization with Local Similarity Learning pdf

Chong Peng, Qiang Cheng, Chenglizhao Chen, 2019, Inf. Sci..

Partition level multiview subspace clustering

Zenglin Xu, Chong Peng, Xi Peng, 2019, Neural Networks.

Unified Spectral Clustering with Optimal Graph pdf

Zenglin Xu, Zhao Kang, Chong Peng, 2017, AAAI.

Integrating feature and graph learning with low-rank representation

Zhao Kang, Chong Peng, Qiang Cheng, 2017, Neurocomputing.

Subspace Clustering via Variance Regularized Ridge Regression

Zhao Kang, Chong Peng, Qiang Cheng, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Structured Graph Learning for Clustering and Semi-supervised Classification pdf

Zenglin Xu, Chong Peng, Xi Peng, 2020, Pattern Recognit..

Kernel Two-Dimensional Ridge Regression for Subspace Clustering pdf

Qiang Cheng, Chong Peng, Qian Zhang, 2020, Pattern Recognit..

Structure Learning with Similarity Preserving

Zenglin Xu, Xiao Lu, Chong Peng, 2019, Neural Networks.

Subspace Clustering Using Log-determinant Rank Approximation

Zhao Kang, Huiqing Li, Chong Peng, 2015, KDD.

Contrastive graph clustering with adaptive filter

Chong Peng, Zhao Kang, Xuanting Xie, 2023, Expert Syst. Appl..

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization

Yongli Wang, Fei Xu, Xuefeng Liu, 2017, IEEE Geoscience and Remote Sensing Letters.

Twin Learning for Similarity and Clustering: A Unified Kernel Approach pdf

Zhao Kang, Chong Peng, Qiang Cheng, 2017, AAAI.

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial–Spectral Total Variation Regularization

Chong Peng, Yongyong Chen, Zhao Kang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Robust Subspace Clustering via Tighter Rank Approximation

Zhao Kang, Chong Peng, Qiang Cheng, 2015, CIKM.

Robust Subspace Clustering via Smoothed Rank Approximation

Zhao Kang, Chong Peng, Qiang Cheng, 2015, IEEE Signal Processing Letters.

Robust graph regularized nonnegative matrix factorization for clustering

Zenglin Xu, Tao Li, Tianrui Li, 2017, Data Mining and Knowledge Discovery.

Top-N Recommendation on Graphs

Ming Yang, Zhao Kang, Chong Peng, 2016, CIKM.

Hyperspectral Image Denoising With Log-Based Robust PCA pdf

Chong Peng, Qian Zhang, Yongyong Chen, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Learning discriminative representation for image classification

Chong Peng, Chenglizhao Chen, Yongyong Chen, 2021, Knowl. Based Syst..

Image Projection Ridge Regression for Subspace Clustering

Zhao Kang, Chong Peng, Qiang Cheng, 2017, IEEE Signal Processing Letters.

Feature Selection Embedded Subspace Clustering

Ming Yang, Zhao Kang, Chong Peng, 2016, IEEE Signal Processing Letters.

LogDet Rank Minimization with Application to Subspace Clustering

Chong Peng, Jie Cheng, Zhao Kang, 2015, Comput. Intell. Neurosci..

Global and local similarity learning in multi-kernel space for nonnegative matrix factorization

Zhao Kang, Chong Peng, Chenglizhao Chen, 2023, Knowl. Based Syst..