Chong Peng - RankMe

97 papers A* 14A 3B 1Journal 73Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-grained tensor completion for incomplete multi-view clustering. Pattern Recognit. Chong Peng, Chundan Liu, Yang Bai, Yongyong Chen, Zhao Kang, Junyu Dong, Guiyuan Jiang, Chenglizhao Chen
2025	J	`jnl`	Adapting Generic RGB-D Salient Object Detection for Specific Traffic Scenarios. IEEE Trans. Intell. Transp. Syst. Chenglizhao Chen, Mengke Song, Shanchen Pang, Chong Peng
2025	J	`jnl`	Inter-class Separable Anchor Concept Factorization on Bipartite Graph. Knowl. Based Syst. Pengfei Zhang, Guiyuan Jiang, Kehan Kang, Junyu Dong, Chong Peng
2025	—	`conf`	RoSPER-Net: Robust Medical Image Segmentation with Spatial Prompting and Cross-Scale Edge Refinement. ICONIP (5) Yongquan Xue, Zhaoru Guo, Chong Peng, Chunlei Xu, Yongming Li, Panpan Zheng
2025	A*	`conf`	Rodecon-net: Medical Image Segmentation via Robust Decoupling and Contrast-enhanced Fusion. ACM Multimedia Yongquan Xue, Zhaoru Guo, Zhaozhao Su, Chong Peng, Jun Feng, Pan Zhou, Marcin Pietron, Xiyuan Wang, Liejun Wang, Panpan Zheng
2024	A*	`conf`	Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. IJCAI Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
2024	—	`conf`	DUMFNet: Enhanced Medical Image Segmentation with Multi-visual Encoding and Local Scanning. BIBM Yuxuan Luo, Chong Peng, Hongyu Wang, Pan Zhou, Liejun Wang, Panpan Zheng
2024	J	`jnl`	Enhancing Inter-Class Separability With High-Order Strangers for Multi-View Clustering. IEEE Signal Process. Lett. Chundan Liu, Qian Zhang, Yongyong Chen, Junyu Dong, Chong Peng
2024	A*	`conf`	Fine-Grained Bipartite Concept Factorization for Clustering. CVPR Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng
2024	J	`jnl`	Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2024	—	`conf`	SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. ECCV (64) Haijin Zeng, Yuxi Liu, Yongyong Chen, Youfa Liu, Chong Peng, Jingyong Su
2023	J	`jnl`	Consensus Low-Rank Multi-View Subspace Clustering With Cross-View Diversity Preserving. IEEE Signal Process. Lett. Kehan Kang, Chenglizhao Chen, Chong Peng
2023	J	`jnl`	Contrastive graph clustering with adaptive filter. Expert Syst. Appl. Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng
2023	J	`jnl`	Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering. IEEE Signal Process. Lett. Fusheng Wang, Chenglizhao Chen, Chong Peng
2023	J	`jnl`	Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	A Novel Long-Term Iterative Mining Scheme for Video Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. Chenglizhao Chen, Hengsen Wang, Yuming Fang, Chong Peng
2022	J	`jnl`	A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection. CoRR Chenglizhao Chen, Hengsen Wang, Yuming Fang, Chong Peng
2022	J	`jnl`	A Novel Video Salient Object Detection Method via Semisupervised Motion Quality Perception. IEEE Trans. Circuits Syst. Video Technol. Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang
2022	J	`jnl`	Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. CoRR Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng
2022	J	`jnl`	Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction. CoRR Xinxing Wu, Chong Peng, Richard J. Charnigo, Qiang Cheng
2022	J	`jnl`	Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2022	J	`jnl`	Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou
2022	J	`jnl`	PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. CoRR Xinxing Wu, Chong Peng, Gregory Jicha, Donna Wilcock, Qiang Cheng
2022	J	`jnl`	Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng
2022	—	`conf`	Robust Sparse and Low-rank Subspace Clustering with Log-based Nonconvex Approximations. ICBDT Keke Fei, Chong Peng, Kehan Kang, Wenjiang Shao
2022	J	`jnl`	Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng
2021	J	`jnl`	Depth-Quality-Aware Salient Object Detection. IEEE Trans. Image Process. Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin
2021	J	`jnl`	Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. Chong Peng, Qiang Cheng
2021	J	`jnl`	Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection. IEEE Trans. Image Process. Chenglizhao Chen, Guotao Wang, Chong Peng, Yuming Fang, Dingwen Zhang, Hong Qin
2021	J	`jnl`	Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity. ACM Trans. Multim. Comput. Commun. Appl. Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Teng Yu, Chong Peng, Hong Qin
2021	J	`jnl`	Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. IEEE Trans. Image Process. Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou
2021	B	`conf`	Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng
2021	J	`jnl`	Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng
2021	J	`jnl`	Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021	J	`jnl`	Learning discriminative representation for image classification. Knowl. Based Syst. Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng
2021	J	`jnl`	Nonnegative matrix factorization with local similarity learning. Inf. Sci. Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2021	A*	`conf`	Partial Tubal Nuclear Norm Regularized Multi-view Learning. ACM Multimedia Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou
2021	A*	`conf`	Self-Paced Two-dimensional PCA. AAAI Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen
2021	J	`jnl`	Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020	J	`jnl`	A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception. CoRR Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang
2020	J	`jnl`	Depth Quality Aware Salient Object Detection. CoRR Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin
2020	J	`jnl`	Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection. CoRR Chenglizhao Chen, Guotao Wang, Chong Peng, Dingwen Zhang, Yuming Fang, Hong Qin
2020	J	`jnl`	Feature Selection Embedded Robust K-Means. IEEE Access Qian Zhang, Chong Peng
2020	J	`jnl`	Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity. CoRR Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Chong Peng, Teng Yu
2020	J	`jnl`	Improved Robust Video Saliency Detection Based on Long-Term Spatial-Temporal Information. IEEE Trans. Image Process. Chenglizhao Chen, Guotao Wang, Chong Peng, Xiaowei Zhang, Hong Qin
2020	J	`jnl`	Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion. IEEE Trans. Image Process. Chenglizhao Chen, Jipeng Wei, Chong Peng, Weizhong Zhang, Hong Qin
2020	J	`jnl`	Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020	J	`jnl`	Partition level multiview subspace clustering. Neural Networks Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu
2020	J	`jnl`	Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2020	J	`jnl`	Salient Object Detection via Multiple Instance Joint Re-Learning. IEEE Trans. Multim. Guangxiao Ma, Chenglizhao Chen, Shuai Li, Chong Peng, Aimin Hao, Hong Qin
2020	J	`jnl`	Structure learning with similarity preserving. Neural Networks Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu
2020	J	`jnl`	Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian
2020	J	`jnl`	Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019	J	`jnl`	Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. CoRR Chong Peng, Qiang Cheng
2019	J	`jnl`	Nonnegative Matrix Factorization with Local Similarity Learning. CoRR Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng
2019	A*	`conf`	RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. CVPR Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2019	J	`jnl`	RES-PCA: A Scalable Approach to Recovering Low-rank Matrices. CoRR Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng
2019	J	`jnl`	Structure Learning with Similarity Preserving. CoRR Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
2019	J	`jnl`	Structure-Aware Adaptive Diffusion for Video Saliency Detection. IEEE Access Chenglizhao Chen, Guotao Wang, Chong Peng
2018	J	`jnl`	Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations. Symmetry Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, Mingqing Xiao
2018	J	`jnl`	Integrate and Conquer: Double-Sided Two-Dimensional ACM Trans. Intell. Syst. Technol. Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng
2018	A*	`conf`	Unified Spectral Clustering With Optimal Graph. AAAI Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2017	J	`jnl`	A Supervised Learning Model for High-Dimensional and Large-Scale Data. ACM Trans. Intell. Syst. Technol. Chong Peng, Jie Cheng, Qiang Cheng
2017	A*	`conf`	Clustering with Adaptive Manifold Structure Learning. ICDE Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. IEEE Geosci. Remote. Sens. Lett. Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He
2017	J	`jnl`	Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation. IEEE Trans. Geosci. Remote. Sens. Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He
2017	—	`conf`	Exploiting Nonlinear Relationships for Top-N Recommender Systems. ICBK Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2017	J	`jnl`	Image Projection Ridge Regression for Subspace Clustering. IEEE Signal Process. Lett. Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng
2017	J	`jnl`	Integrating feature and graph learning with low-rank representation. Neurocomputing Chong Peng, Zhao Kang, Qiang Cheng
2017	J	`jnl`	Kernel-driven similarity learning. Neurocomputing Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. ACM Trans. Intell. Syst. Technol. Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017	J	`jnl`	Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. ACM Trans. Knowl. Discov. Data Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng
2017	A*	`conf`	Subspace Clustering via Variance Regularized Ridge Regression. CVPR Chong Peng, Zhao Kang, Qiang Cheng
2017	A*	`conf`	Twin Learning for Similarity and Clustering: A Unified Kernel Approach. AAAI Zhao Kang, Chong Peng, Qiang Cheng
2017	J	`jnl`	Twin Learning for Similarity and Clustering: A Unified Kernel Approach. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2017	—	`conf`	Two rank approximations for low-rank based subspace clustering. CISP-BMEI Fei Xu, Chong Peng, Yunhong Hu, Guoping He
2017	J	`jnl`	Unified Spectral Clustering with Optimal Graph. CoRR Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu
2016	A*	`conf`	A Fast Factorization-Based Approach to Robust PCA. ICDM Chong Peng, Zhao Kang, Qiang Cheng
2016	J	`jnl`	A Fast Factorization-based Approach to Robust PCA. CoRR Chong Peng, Zhao Kang, Qiang Chen
2016	J	`jnl`	Feature Selection Embedded Subspace Clustering. IEEE Signal Process. Lett. Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016	A	`conf`	RAP: Scalable RPCA for Low-rank Matrix Recovery. CIKM Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016	A	`conf`	Top-N Recommendation on Graphs. CIKM Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016	J	`jnl`	Top-N Recommendation on Graphs. CoRR Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016	A*	`conf`	Top-N Recommender System via Matrix Completion. AAAI Zhao Kang, Chong Peng, Qiang Cheng
2016	J	`jnl`	Top-N Recommender System via Matrix Completion. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	LogDet Rank Minimization with Application to Subspace Clustering. Comput. Intell. Neurosci. Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015	J	`jnl`	LogDet Rank Minimization with Application to Subspace Clustering. CoRR Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng
2015	A*	`conf`	Robust PCA Via Nonconvex Rank Approximation. ICDM Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust PCA via Nonconvex Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Smoothed Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Smoothed Rank Approximation. IEEE Signal Process. Lett. Zhao Kang, Chong Peng, Qiang Cheng
2015	A	`conf`	Robust Subspace Clustering via Tighter Rank Approximation. CIKM Zhao Kang, Chong Peng, Qiang Cheng
2015	J	`jnl`	Robust Subspace Clustering via Tighter Rank Approximation. CoRR Zhao Kang, Chong Peng, Qiang Cheng
2015	A*	`conf`	Subspace Clustering Using Log-determinant Rank Approximation. KDD Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng