Robust Subspace Clustering via Tighter Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (CIKM, 2015)

Robust PCA Via Nonconvex Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (ICDM, 2015)

Subspace Clustering Using Log-determinant Rank Approximation. - Chong Peng 001; Zhao Kang 001; Huiqing Li; Qiang Cheng 001 (KDD, 2015)

LogDet Rank Minimization with Application to Subspace Clustering. - Zhao Kang 001; Chong Peng 001; Jie Cheng 002; Qiang Cheng 001 (Comput. Intell. Neurosci., 2015)

Robust Subspace Clustering via Smoothed Rank Approximation. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (IEEE Signal Process. Lett., 2015)

Top-N Recommender System via Matrix Completion. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (AAAI, 2016)

Top-N Recommendation on Graphs. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

RAP: Scalable RPCA for Low-rank Matrix Recovery. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

A Fast Factorization-Based Approach to Robust PCA. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (ICDM, 2016)

A Fast Factorization-based Approach to Robust PCA. - Chong Peng 001; Zhao Kang 001; Qiang Chen (CoRR, 2016)

Feature Selection Embedded Subspace Clustering. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (IEEE Signal Process. Lett., 2016)

Twin Learning for Similarity and Clustering: A Unified Kernel Approach. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (AAAI, 2017)

Two rank approximations for low-rank based subspace clustering. - Fei Xu 005; Chong Peng 001; Yunhong Hu; Guoping He (CISP-BMEI, 2017)

Subspace Clustering via Variance Regularized Ridge Regression. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (CVPR, 2017)

Exploiting Nonlinear Relationships for Top-N Recommender Systems. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (ICBK, 2017)

Clustering with Adaptive Manifold Structure Learning. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (ICDE, 2017)

Kernel-driven similarity learning. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001 (Neurocomputing, 2017)

Integrating feature and graph learning with low-rank representation. - Chong Peng 001; Zhao Kang 001; Qiang Cheng 001 (Neurocomputing, 2017)

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. - Fei Xu 005; Yongyong Chen; Chong Peng 001; Yongli Wang; Xuefeng Liu; Guoping He (IEEE Geosci. Remote. Sens. Lett., 2017)

Image Projection Ridge Regression for Subspace Clustering. - Chong Peng 001; Zhao Kang 001; Fei Xu 005; Yongyong Chen; Qiang Cheng 001 (IEEE Signal Process. Lett., 2017)

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation. - Yongyong Chen; Yanwen Guo 001; Yongli Wang; Dong Wang; Chong Peng 001; Guoping He (IEEE Trans. Geosci. Remote. Sens., 2017)

A Supervised Learning Model for High-Dimensional and Large-Scale Data. - Chong Peng 001; Jie Cheng 002; Qiang Cheng 001 (ACM Trans. Intell. Syst. Technol., 2017)

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. - Chong Peng 001; Zhao Kang 001; Yunhong Hu; Jie Cheng 002; Qiang Cheng 001 (ACM Trans. Intell. Syst. Technol., 2017)

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. - Chong Peng 001; Zhao Kang 001; Yunhong Hu; Jie Cheng 002; Qiang Cheng 001 (ACM Trans. Knowl. Discov. Data, 2017)

Unified Spectral Clustering With Optimal Graph. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001; Zenglin Xu (AAAI, 2018)

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations. - Shuting Cai; Zhao Kang 001; Ming Yang 024; Xiaoming Xiong; Chong Peng 001; Mingqing Xiao 001 (Symmetry, 2018)

Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction. - Chong Peng 001; Zhao Kang 001; Shuting Cai; Qiang Cheng 001 (ACM Trans. Intell. Syst. Technol., 2018)

RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. - Chong Peng 001; Chenglizhao Chen; Zhao Kang 001; Jianbo Li; Qiang Cheng 001 (CVPR, 2019)

Structure-Aware Adaptive Diffusion for Video Saliency Detection. - Chenglizhao Chen; Guotao Wang; Chong Peng 001 (IEEE Access, 2019)

Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. - Chong Peng 001; Qiang Cheng 001 (CoRR, 2019)

Nonnegative Matrix Factorization with Local Similarity Learning. - Chong Peng 001; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (CoRR, 2019)

Structure Learning with Similarity Preserving. - Zhao Kang 001; Xiao Lu 004; Yiwei Lu; Chong Peng 001; Zenglin Xu (CoRR, 2019)

Feature Selection Embedded Robust K-Means. - Qian Zhang; Chong Peng 001 (IEEE Access, 2020)

A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception. - Chenglizhao Chen; Jia Song; Chong Peng 001; Guodong Wang 001; Yuming Fang (CoRR, 2020)

Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity. - Chenglizhao Chen; Hongmeng Zhao; Huan Yang 001; Chong Peng 001; Teng Yu (CoRR, 2020)

Robust principal component analysis: A factorization-based approach with linear complexity. - Chong Peng 001; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Inf. Sci., 2020)

Structure learning with similarity preserving. - Zhao Kang 001; Xiao Lu 004; Yiwei Lu; Chong Peng 001; Wenyu Chen 001; Zenglin Xu (Neural Networks, 2020)

Partition level multiview subspace clustering. - Zhao Kang 001; Xinjia Zhao; Chong Peng 001; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng 001; Wenyu Chen 001; Zenglin Xu (Neural Networks, 2020)

Improved Robust Video Saliency Detection Based on Long-Term Spatial-Temporal Information. - Chenglizhao Chen; Guotao Wang; Chong Peng 001; Xiaowei Zhang 003; Hong Qin 001 (IEEE Trans. Image Process., 2020)

Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion. - Chenglizhao Chen; Jipeng Wei; Chong Peng 001; Weizhong Zhang; Hong Qin 001 (IEEE Trans. Image Process., 2020)

Salient Object Detection via Multiple Instance Joint Re-Learning. - Guangxiao Ma; Chenglizhao Chen; Shuai Li 001; Chong Peng 001; Aimin Hao; Hong Qin 001 (IEEE Trans. Multim., 2020)

Self-Paced Two-dimensional PCA. - Jiangxin Li; Zhao Kang 001; Chong Peng 001; Wenyu Chen 001 (AAAI, 2021)

Hyperspectral Image Denoising With Log-Based Robust PCA. - Yang Liu; Qian Zhang; Yongyong Chen; Qiang Cheng 001; Chong Peng 001 (ICIP, 2021)

Partial Tubal Nuclear Norm Regularized Multi-view Learning. - Yongyong Chen; Shuqin Wang 001; Chong Peng 001; Guangming Lu 002; Yicong Zhou (ACM Multimedia, 2021)

Nonnegative matrix factorization with local similarity learning. - Chong Peng 001; Zhilu Zhang; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Inf. Sci., 2021)

Learning discriminative representation for image classification. - Chong Peng 001; Yang Liu; Xin Zhang; Zhao Kang 001; Yongyong Chen; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2021)

Structured graph learning for clustering and semi-supervised classification. - Zhao Kang 001; Chong Peng 001; Qiang Cheng 001; Xinwang Liu 002; Xi Peng 001; Zenglin Xu; Ling Tian (Pattern Recognit., 2021)

Kernel two-dimensional ridge regression for subspace clustering. - Chong Peng 001; Qian Zhang; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Pattern Recognit., 2021)

Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection. - Chenglizhao Chen; Guotao Wang; Chong Peng 001; Yuming Fang; Dingwen Zhang; Hong Qin 001 (IEEE Trans. Image Process., 2021)

Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Chong Peng 001; Zhongyun Hua; Yicong Zhou (IEEE Trans. Image Process., 2021)

Depth-Quality-Aware Salient Object Detection. - Chenglizhao Chen; Jipeng Wei; Chong Peng 001; Hong Qin 001 (IEEE Trans. Image Process., 2021)

Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data. - Chong Peng 001; Qiang Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity. - Chenglizhao Chen; Hongmeng Zhao; Huan Yang 001; Teng Yu; Chong Peng 001; Hong Qin 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Robust Sparse and Low-rank Subspace Clustering with Log-based Nonconvex Approximations. - Keke Fei; Chong Peng 001; Kehan Kang; Wenjiang Shao (ICBDT, 2022)

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. - Chong Peng 001; Yang Liu; Yongyong Chen; Xinxin Wu; Andrew Cheng; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (CoRR, 2022)

PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. - Xinxing Wu; Chong Peng 001; Gregory Jicha; Donna Wilcock; Qiang Cheng 001 (CoRR, 2022)

Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. - Xinxing Wu; Chong Peng 001; Peter T. Nelson; Qiang Cheng 001 (CoRR, 2022)

Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction. - Xinxing Wu; Chong Peng 001; Richard J. Charnigo; Qiang Cheng 001 (CoRR, 2022)

Two-dimensional semi-nonnegative matrix factorization for clustering. - Chong Peng 001; Zhilu Zhang; Chenglizhao Chen; Zhao Kang 001; Qiang Cheng 001 (Inf. Sci., 2022)

Log-based sparse nonnegative matrix factorization for data representation. - Chong Peng 001; Yiqun Zhang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2022)

Preserving bilateral view structural information for subspace clustering. - Chong Peng 001; Jing Zhang; Yongyong Chen; Xin Xing; Chenglizhao Chen; Zhao Kang 001; Li Guo 016; Qiang Cheng 001 (Knowl. Based Syst., 2022)

A Novel Video Salient Object Detection Method via Semisupervised Motion Quality Perception. - Chenglizhao Chen; Jia Song; Chong Peng 001; Guodong Wang 001; Yuming Fang (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Novel Long-Term Iterative Mining Scheme for Video Salient Object Detection. - Chenglizhao Chen; Hengsen Wang; Yuming Fang; Chong Peng 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering. - Yongyong Chen; Xiaolin Xiao; Chong Peng 001; Guangming Lu 002; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. - Chong Peng 001; Yang Liu; Kehan Kang; Yongyong Chen; Xinxing Wu; Andrew Cheng; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Consensus Low-Rank Multi-View Subspace Clustering With Cross-View Diversity Preserving. - Kehan Kang; Chenglizhao Chen; Chong Peng 001 (IEEE Signal Process. Lett., 2023)

Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering. - Fusheng Wang 011; Chenglizhao Chen; Chong Peng 001 (IEEE Signal Process. Lett., 2023)

Contrastive graph clustering with adaptive filter. - Xuanting Xie; Wenyu Chen 001; Zhao Kang 001; Chong Peng 001 (Expert Syst. Appl., 2023)

Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. - Chong Peng 001; Xingrong Hou; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (Knowl. Based Syst., 2023)

Fine-Grained Bipartite Concept Factorization for Clustering. - Chong Peng 001; Pengfei Zhang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Shawn Cheng (CVPR, 2024)

SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. - Haijin Zeng; Yuxi Liu; Yongyong Chen; Youfa Liu; Chong Peng 001; Jingyong Su (ECCV (64), 2024)

Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. - Chong Peng 001; Kai Zhang 008; Yongyong Chen; Chenglizhao Chen; Qiang Cheng 001 (IJCAI, 2024)

Enhancing Inter-Class Separability With High-Order Strangers for Multi-View Clustering. - Chundan Liu; Qian Zhang; Yongyong Chen; Junyu Dong; Chong Peng 001 (IEEE Signal Process. Lett., 2024)

Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. - Chong Peng 001; Kehan Kang; Yongyong Chen; Zhao Kang 001; Chenglizhao Chen; Qiang Cheng 001 (IEEE Trans. Image Process., 2024)

Inter-class Separable Anchor Concept Factorization on Bipartite Graph. - Pengfei Zhang; Guiyuan Jiang; Kehan Kang; Junyu Dong; Chong Peng 001 (Knowl. Based Syst., 2025)

Adapting Generic RGB-D Salient Object Detection for Specific Traffic Scenarios. - Chenglizhao Chen; Mengke Song; Shanchen Pang; Chong Peng 001 (IEEE Trans. Intell. Transp. Syst., 2025)