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ORCIDChong Peng 0001
Person information
- affiliation: Ocean University of China, Qingdao, China
- affiliation (former): Qingdao University, Qingdao, China
Other persons with the same name
- Chong Peng — disambiguation page
- Chong Peng 0002
![[0000-0002-7649-5551]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7649-5551")
— Tianjin University of Science and Technology, College of Biotechnology, China
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2020 – today
- 2024
[j43]Chundan Liu, Qian Zhang, Yongyong Chen, Junyu Dong, Chong Peng:
Enhancing Inter-Class Separability With High-Order Strangers for Multi-View Clustering. IEEE Signal Process. Lett. 31: 2460-2464 (2024)- [j42]Chong Peng, Kehan Kang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering. IEEE Trans. Image Process. 33: 3145-3160 (2024) - [c21]Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng:
Fine-Grained Bipartite Concept Factorization for Clustering. CVPR 2024: 26254-26264 - [c20]Haijin Zeng, Yuxi Liu, Yongyong Chen, Youfa Liu, Chong Peng, Jingyong Su:
SAH-SCI: Self-supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging. ECCV (64) 2024: 311-328 - [c19]Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. IJCAI 2024: 4788-4796 - 2023
- [j41]Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng:
Contrastive graph clustering with adaptive filter. Expert Syst. Appl. 219: 119645 (2023) - [j40]Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowl. Based Syst. 279: 110946 (2023) - [j39]Kehan Kang, Chenglizhao Chen, Chong Peng:
Consensus Low-Rank Multi-View Subspace Clustering With Cross-View Diversity Preserving. IEEE Signal Process. Lett. 30: 1512-1516 (2023) - [j38]Fusheng Wang, Chenglizhao Chen, Chong Peng:
Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering. IEEE Signal Process. Lett. 30: 1537-1541 (2023) - 2022
- [j37]Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng:
Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. 590: 106-141 (2022) - [j36]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based sparse nonnegative matrix factorization for data representation. Knowl. Based Syst. 251: 109127 (2022) - [j35]Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng:
Preserving bilateral view structural information for subspace clustering. Knowl. Based Syst. 258: 109915 (2022) - [j34]Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou:
Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(1): 92-104 (2022) - [j33]Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang:
A Novel Video Salient Object Detection Method via Semisupervised Motion Quality Perception. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2732-2745 (2022) - [j32]Chenglizhao Chen, Hengsen Wang, Yuming Fang, Chong Peng:
A Novel Long-Term Iterative Mining Scheme for Video Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7662-7676 (2022) - [j31]Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c18]Keke Fei, Chong Peng, Kehan Kang, Wenjiang Shao:
Robust Sparse and Low-rank Subspace Clustering with Log-based Nonconvex Approximations. ICBDT 2022: 165-170 - [i27]Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization. CoRR abs/2201.02812 (2022) - [i26]Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Log-based Sparse Nonnegative Matrix Factorization for Data Representation. CoRR abs/2204.10647 (2022) - [i25]Chenglizhao Chen, Hengsen Wang, Yuming Fang, Chong Peng:
A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection. CoRR abs/2206.09564 (2022) - [i24]Xinxing Wu, Chong Peng, Gregory Jicha, Donna Wilcock, Qiang Cheng:
PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. CoRR abs/2208.12811 (2022) - [i23]Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng:
Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets. CoRR abs/2209.05438 (2022) - [i22]Xinxing Wu, Chong Peng, Richard J. Charnigo, Qiang Cheng:
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction. CoRR abs/2209.15450 (2022) - 2021
- [j30]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative matrix factorization with local similarity learning. Inf. Sci. 562: 325-346 (2021) - [j29]Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Learning discriminative representation for image classification. Knowl. Based Syst. 233: 107517 (2021) - [j28]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110: 107627 (2021) - [j27]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. 113: 107749 (2021) - [j26]Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin:
Depth-Quality-Aware Salient Object Detection. IEEE Trans. Image Process. 30: 2350-2363 (2021) - [j25]Chenglizhao Chen, Guotao Wang, Chong Peng, Yuming Fang, Dingwen Zhang, Hong Qin:
Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection. IEEE Trans. Image Process. 30: 3995-4007 (2021) - [j24]Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou:
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. IEEE Trans. Image Process. 30: 4022-4035 (2021) - [j23]Chong Peng, Qiang Cheng:
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2595-2609 (2021) - [j22]Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Teng Yu, Chong Peng, Hong Qin:
Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 94:1-94:21 (2021) - [c17]Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen:
Self-Paced Two-dimensional PCA. AAAI 2021: 8392-8400 - [c16]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP 2021: 1634-1638 - [c15]Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou:
Partial Tubal Nuclear Norm Regularized Multi-view Learning. ACM Multimedia 2021: 1341-1349 - [i21]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR abs/2105.11927 (2021) - 2020
- [j21]Qian Zhang, Chong Peng:
Feature Selection Embedded Robust K-Means. IEEE Access 8: 166164-166175 (2020) - [j20]Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Robust principal component analysis: A factorization-based approach with linear complexity. Inf. Sci. 513: 581-599 (2020) - [j19]Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu:
Partition level multiview subspace clustering. Neural Networks 122: 279-288 (2020) - [j18]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu:
Structure learning with similarity preserving. Neural Networks 129: 138-148 (2020) - [j17]Chenglizhao Chen, Guotao Wang, Chong Peng, Xiaowei Zhang, Hong Qin:
Improved Robust Video Saliency Detection Based on Long-Term Spatial-Temporal Information. IEEE Trans. Image Process. 29: 1090-1100 (2020) - [j16]Chenglizhao Chen, Jipeng Wei, Chong Peng, Weizhong Zhang, Hong Qin:
Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion. IEEE Trans. Image Process. 29: 4296-4307 (2020) - [j15]Guangxiao Ma, Chenglizhao Chen, Shuai Li, Chong Peng, Aimin Hao, Hong Qin:
Salient Object Detection via Multiple Instance Joint Re-Learning. IEEE Trans. Multim. 22(2): 324-336 (2020) - [i20]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR abs/2005.09229 (2020) - [i19]Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang:
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception. CoRR abs/2008.02966 (2020) - [i18]Chenglizhao Chen, Guotao Wang, Chong Peng, Dingwen Zhang, Yuming Fang, Hong Qin:
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection. CoRR abs/2008.02973 (2020) - [i17]Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin:
Depth Quality Aware Salient Object Detection. CoRR abs/2008.04159 (2020) - [i16]Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Chong Peng, Teng Yu:
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity. CoRR abs/2008.05396 (2020) - [i15]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i14]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR abs/2011.01477 (2020)
2010 – 2019
- 2019
- [j14]Chenglizhao Chen, Guotao Wang, Chong Peng:
Structure-Aware Adaptive Diffusion for Video Saliency Detection. IEEE Access 7: 79770-79782 (2019) - [c14]Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. CVPR 2019: 7317-7325 - [i13]Chong Peng, Qiang Cheng:
Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. CoRR abs/1904.07496 (2019) - [i12]Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices. CoRR abs/1904.07497 (2019) - [i11]Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative Matrix Factorization with Local Similarity Learning. CoRR abs/1907.04150 (2019) - [i10]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu:
Structure Learning with Similarity Preserving. CoRR abs/1912.01197 (2019) - 2018
- [j13]Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, Mingqing Xiao:
Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations. Symmetry 10(5): 167 (2018) - [j12]Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng:
Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction. ACM Trans. Intell. Syst. Technol. 9(5): 57:1-57:25 (2018) - [c13]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering With Optimal Graph. AAAI 2018: 3366-3373 - 2017
- [j11]Chong Peng, Zhao Kang, Qiang Cheng:
Integrating feature and graph learning with low-rank representation. Neurocomputing 249: 106-116 (2017) - [j10]Zhao Kang, Chong Peng, Qiang Cheng:
Kernel-driven similarity learning. Neurocomputing 267: 210-219 (2017) - [j9]Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He:
Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. IEEE Geosci. Remote. Sens. Lett. 14(7): 1141-1145 (2017) - [j8]Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng:
Image Projection Ridge Regression for Subspace Clustering. IEEE Signal Process. Lett. 24(7): 991-995 (2017) - [j7]Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He:
Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation. IEEE Trans. Geosci. Remote. Sens. 55(9): 5366-5380 (2017) - [j6]Chong Peng, Jie Cheng, Qiang Cheng:
A Supervised Learning Model for High-Dimensional and Large-Scale Data. ACM Trans. Intell. Syst. Technol. 8(2): 30:1-30:23 (2017) - [j5]Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng:
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. ACM Trans. Intell. Syst. Technol. 8(3): 42:1-42:29 (2017) - [j4]Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng:
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering. ACM Trans. Knowl. Discov. Data 11(3): 33:1-33:30 (2017) - [c12]Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. AAAI 2017: 2080-2086 - [c11]Fei Xu, Chong Peng, Yunhong Hu, Guoping He:
Two rank approximations for low-rank based subspace clustering. CISP-BMEI 2017: 1-6 - [c10]Chong Peng, Zhao Kang, Qiang Cheng:
Subspace Clustering via Variance Regularized Ridge Regression. CVPR 2017: 682-691 - [c9]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Exploiting Nonlinear Relationships for Top-N Recommender Systems. ICBK 2017: 49-56 - [c8]Zhao Kang, Chong Peng, Qiang Cheng:
Clustering with Adaptive Manifold Structure Learning. ICDE 2017: 79-82 - [i9]Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. CoRR abs/1705.00678 (2017) - [i8]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering with Optimal Graph. CoRR abs/1711.04258 (2017) - 2016
- [j3]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
Feature Selection Embedded Subspace Clustering. IEEE Signal Process. Lett. 23(7): 1018-1022 (2016) - [c7]Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. AAAI 2016: 179-185 - [c6]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. CIKM 2016: 2101-2106 - [c5]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
RAP: Scalable RPCA for Low-rank Matrix Recovery. CIKM 2016: 2113-2118 - [c4]Chong Peng, Zhao Kang, Qiang Cheng:
A Fast Factorization-Based Approach to Robust PCA. ICDM 2016: 1137-1142 - [i7]Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. CoRR abs/1601.04800 (2016) - [i6]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. CoRR abs/1609.08264 (2016) - [i5]Chong Peng, Zhao Kang, Qiang Chen:
A Fast Factorization-based Approach to Robust PCA. CoRR abs/1609.08677 (2016) - 2015
- [j2]Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng:
LogDet Rank Minimization with Application to Subspace Clustering. Comput. Intell. Neurosci. 2015: 824289:1-824289:10 (2015) - [j1]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Smoothed Rank Approximation. IEEE Signal Process. Lett. 22(11): 2088-2092 (2015) - [c3]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. CIKM 2015: 393-401 - [c2]Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA Via Nonconvex Rank Approximation. ICDM 2015: 211-220 - [c1]Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng:
Subspace Clustering Using Log-determinant Rank Approximation. KDD 2015: 925-934 - [i4]Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng:
LogDet Rank Minimization with Application to Subspace Clustering. CoRR abs/1507.00908 (2015) - [i3]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Smoothed Rank Approximation. CoRR abs/1508.04467 (2015) - [i2]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. CoRR abs/1510.08971 (2015) - [i1]Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA via Nonconvex Rank Approximation. CoRR abs/1511.05261 (2015)
Coauthor Index
[j42] [c21] [c19] [j40] [j37] [j36] [j35] [j31] [i27] [i26] [i24] [i23] [i22] [j30] [j29] [j28] [j27] [j23] [c16] [i21] [j20] [i20] [i15] [i14] [c14] [i13] [i12] [i11] [j12] [c13] [j11] [j10] [j8] [j6] [j5] [j4] [c12] [c10] [c9] [c8] [i9] [i8] [j3] [c7] [c6] [c5] [c4] [i7] [i6] [j2] [j1] [c3] [c2] [c1] [i4] [i3] [i2] [i1]
[j42] [c21] [j41] [j40] [j37] [j36] [j35] [j31] [i27] [i26] [j30] [j29] [j28] [j27] [c17] [j20] [j19] [j18] [i20] [i15] [i14] [c14] [i12] [i11] [i10] [j13] [j12] [c13] [j11] [j10] [j8] [j5] [j4] [c12] [c10] [c9] [c8] [i9] [i8] [j3] [c7] [c6] [c5] [c4] [i7] [i6] [i5] [j2] [j1] [c3] [c2] [c1] [i4] [i3] [i2] [i1]
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