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Journal Articles
- 2024
[j56]Chong Peng
, Xiaofeng Liu, Xiangbo Meng, Congge Chen, Xinming Wu, Lin Bai, Fuping Lu, Fufeng Liu:
IPAD-DB: a manually curated database for experimentally verified inhibitors of proteins associated with Alzheimer's disease. Database J. Biol. Databases Curation 2024 (2024)- [j55]Zhongyuan Che, Chong Peng, Thunshun W. Liao, Jikun Wang:
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model. Expert Syst. Appl. 255: 124556 (2024) - [j54]Jinyong Yao, Zhanfei Gao, Yihai He, Chong Peng:
Integrated mission reliability modeling for multistate manufacturing systems considering heterogeneous feedstocks based on extended stochastic flow manufacturing network. Reliab. Eng. Syst. Saf. 243: 109840 (2024) - [j53]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) - [j52]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) - 2023
- [j51]Chong Peng, Zhongyuan Che, Thunshun W. Liao, Zhongwen Zhang:
Prediction using multi-objective slime mould algorithm optimized support vector regression model. Appl. Soft Comput. 145: 110580 (2023) - [j50]Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng:
Contrastive graph clustering with adaptive filter. Expert Syst. Appl. 219: 119645 (2023) - [j49]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) - [j48]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) - [j47]Fusheng Wang, Chenglizhao Chen, Chong Peng:
Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering. IEEE Signal Process. Lett. 30: 1537-1541 (2023) - [j46]Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng:
Deep-Learning-Based Model for Accident-Type Prediction During Approach and Landing. IEEE Trans. Aerosp. Electron. Syst. 59(1): 472-482 (2023) - [j45]Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng:
A Data-Driven Integrated Safety Risk Warning Model Based on Deep Learning for Civil Aircraft. IEEE Trans. Aerosp. Electron. Syst. 59(2): 1707-1719 (2023) - 2022
- [j44]Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng:
Two-dimensional semi-nonnegative matrix factorization for clustering. Inf. Sci. 590: 106-141 (2022) - [j43]Siyu Su, Youchao Sun, Longbiao Li, Chong Peng, Haitao Zhang, Tingting Zhang:
Risk Warning for Aircraft Bleed Air System with Multivariate State Estimation Technique. J. Aerosp. Inf. Syst. 19(8): 550-564 (2022) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - 2021
- [j36]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative matrix factorization with local similarity learning. Inf. Sci. 562: 325-346 (2021) - [j35]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) - [j34]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) - [j33]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel two-dimensional ridge regression for subspace clustering. Pattern Recognit. 113: 107749 (2021) - [j32]Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin:
Depth-Quality-Aware Salient Object Detection. IEEE Trans. Image Process. 30: 2350-2363 (2021) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - 2020
- [j27]Qian Zhang, Chong Peng:
Feature Selection Embedded Robust K-Means. IEEE Access 8: 166164-166175 (2020) - [j26]Kevin Verma, Christopher McCabe, Chong Peng, Robert Wille:
A PCISPH implementation using distributed multi-GPU acceleration for simulating industrial engineering applications. Int. J. High Perform. Comput. Appl. 34(4) (2020) - [j25]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) - [j24]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) - [j23]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu:
Structure learning with similarity preserving. Neural Networks 129: 138-148 (2020) - [j22]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) - [j21]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) - [j20]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) - 2019
- [j19]Chenglizhao Chen, Guotao Wang, Chong Peng:
Structure-Aware Adaptive Diffusion for Video Saliency Detection. IEEE Access 7: 79770-79782 (2019) - [j18]Hao Luo, Chun-Lan Quan, Chong Peng, Feng Gao:
Recent development of Ori-Finder system and DoriC database for microbial replication origins. Briefings Bioinform. 20(4): 1114-1124 (2019) - [j17]Wei Wei, Zhenyu Tian, Chong Peng, Ang Liu, Zhinan Zhang:
Product family flexibility design method based on hybrid adaptive ant colony algorithm. Soft Comput. 23(20): 10509-10520 (2019) - 2018
- [j16]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) - [j15]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) - 2017
- [j14]Chong Peng, Zhao Kang, Qiang Cheng:
Integrating feature and graph learning with low-rank representation. Neurocomputing 249: 106-116 (2017) - [j13]Zhao Kang, Chong Peng, Qiang Cheng:
Kernel-driven similarity learning. Neurocomputing 267: 210-219 (2017) - [j12]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) - [j11]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) - [j10]Peng Xu, Kun-Shan Chen, Yu Liu, Jiancheng Shi, Chong Peng, Rui Jiang, Jiangyuan Zeng:
Full-Wave Simulation and Analysis of Bistatic Scattering and Polarimetric Emissions From Double-Layered Sastrugi Surfaces. IEEE Trans. Geosci. Remote. Sens. 55(1): 292-307 (2017) - [j9]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) - [j8]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) - [j7]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) - [j6]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) - 2016
- [j5]Lei Ye, Chong Peng, Lingqiu Zeng, Qingwen Han, Xiaoying Liu, Dongmei Chen, Chen Du:
Experimental Analysis of Cluster-Based Multi-Channel Mechanism for Inter-Vehicle Safety Warning Message Transmission. J. Commun. 11(1): 33-41 (2016) - [j4]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
Feature Selection Embedded Subspace Clustering. IEEE Signal Process. Lett. 23(7): 1018-1022 (2016) - 2015
- [j3]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) - [j2]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Smoothed Rank Approximation. IEEE Signal Process. Lett. 22(11): 2088-2092 (2015) - 2004
- [j1]Chong Peng, Peiqiang Zhang:
An Optic-Fiber Interferometer for the Dynamic Characterization of Microstructures. Int. J. Inf. Acquis. 1(2): 129-134 (2004)
Conference and Workshop Papers
- 2024
- [c31]Chong Peng, Pengfei Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Shawn Cheng:
Fine-Grained Bipartite Concept Factorization for Clustering. CVPR 2024: 26254-26264 - [c30]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 - [c29]Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu:
Calibrating the Confidence of Large Language Models by Eliciting Fidelity. EMNLP 2024: 2959-2979 - [c28]Chong Peng, Kai Zhang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng:
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. IJCAI 2024: 4788-4796 - [c27]Xinyu Sun, Chong Peng:
Novel Motion Control System for Industrial Robot Arms Enhanced by Innovative Method and PLC Integration. ISIE 2024: 1-6 - [c26]Rui Zhang, Chong Peng, Zhongyuan Che:
CPCRNet: Cross-source Point Cloud Completion-registration Network for Intelligent Factory Virtual Scene Construction. ISIE 2024: 1-5 - 2023
- [c25]Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang:
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels. IJCAI 2023: 3902-3910 - 2022
- [c24]Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs:
AssocFormer: Association Transformer for Multi-label Classification. BMVC 2022: 619 - [c23]Keke Fei, Chong Peng, Kehan Kang, Wenjiang Shao:
Robust Sparse and Low-rank Subspace Clustering with Log-based Nonconvex Approximations. ICBDT 2022: 165-170 - 2021
- [c22]Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen:
Self-Paced Two-dimensional PCA. AAAI 2021: 8392-8400 - [c21]Jingru Yang, Xiaoman Zhao, Ju Fan, Gong Chen, Chong Peng, Sheng Yao, Xiaoyong Du:
A Human-in-the-loop Approach to Social Behavioral Targeting. ICDE 2021: 277-288 - [c20]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising With Log-Based Robust PCA. ICIP 2021: 1634-1638 - [c19]Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou:
Partial Tubal Nuclear Norm Regularized Multi-view Learning. ACM Multimedia 2021: 1341-1349 - 2020
- [c18]Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du:
Social Influence Does Matter: User Action Prediction for In-Feed Advertising. AAAI 2020: 246-253 - 2019
- [c17]Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. CVPR 2019: 7317-7325 - 2018
- [c16]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering With Optimal Graph. AAAI 2018: 3366-3373 - [c15]Kevin Verma, Chong Peng, Kamil Szewc, Robert Wille:
AMulti-GPU PCISPH Implementation with Efficient Memory Transfers. HPEC 2018: 1-7 - 2017
- [c14]Zhao Kang, Chong Peng, Qiang Cheng:
Twin Learning for Similarity and Clustering: A Unified Kernel Approach. AAAI 2017: 2080-2086 - [c13]Fei Xu, Chong Peng, Yunhong Hu, Guoping He:
Two rank approximations for low-rank based subspace clustering. CISP-BMEI 2017: 1-6 - [c12]Chong Peng, Zhao Kang, Qiang Cheng:
Subspace Clustering via Variance Regularized Ridge Regression. CVPR 2017: 682-691 - [c11]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Exploiting Nonlinear Relationships for Top-N Recommender Systems. ICBK 2017: 49-56 - [c10]Zhao Kang, Chong Peng, Qiang Cheng:
Clustering with Adaptive Manifold Structure Learning. ICDE 2017: 79-82 - 2016
- [c9]Zhao Kang, Chong Peng, Qiang Cheng:
Top-N Recommender System via Matrix Completion. AAAI 2016: 179-185 - [c8]Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng:
Top-N Recommendation on Graphs. CIKM 2016: 2101-2106 - [c7]Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng:
RAP: Scalable RPCA for Low-rank Matrix Recovery. CIKM 2016: 2113-2118 - [c6]Chong Peng, Zhao Kang, Qiang Cheng:
A Fast Factorization-Based Approach to Robust PCA. ICDM 2016: 1137-1142 - [c5]Lei Ye, Chong Peng, Qingwen Han, Lingqiu Zeng, Lei Chen, Xiaoying Liu, Yongbing Xu:
V2V channel allocation method based on SWM communication demand matrix. ITSC 2016: 2095-2100 - 2015
- [c4]Zhao Kang, Chong Peng, Qiang Cheng:
Robust Subspace Clustering via Tighter Rank Approximation. CIKM 2015: 393-401 - [c3]Zhao Kang, Chong Peng, Qiang Cheng:
Robust PCA Via Nonconvex Rank Approximation. ICDM 2015: 211-220 - [c2]Lingqiu Zeng, Xueying He, Qingwen Han, Xiaoying Liu, Chong Peng, Bin Yang, Lei Ye:
Biological Prototype Model for Road Abnormal Vehicle Behavior Simulation. IOV 2015: 351-362 - [c1]Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng:
Subspace Clustering Using Log-determinant Rank Approximation. KDD 2015: 925-934
Informal and Other Publications
- 2024
- [i33]Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu:
Calibrating the Confidence of Large Language Models by Eliciting Fidelity. CoRR abs/2404.02655 (2024) - [i32]Dongbo Xi, Zhen Chen, Yuexian Wang, He Cui, Chong Peng, Fuzhen Zhuang, Peng Yan:
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework. CoRR abs/2404.08361 (2024) - [i31]Chong Peng, Liqiang He, Dan Su:
Fuse after Align: Improving Face-Voice Association Learning via Multimodal Encoder. CoRR abs/2404.09509 (2024) - 2022
- [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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
- [i24]Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng:
Hyperspectral Image Denoising with Log-Based Robust PCA. CoRR abs/2105.11927 (2021) - 2020
- [i23]Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. CoRR abs/2005.09229 (2020) - [i22]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) - [i21]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) - [i20]Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin:
Depth Quality Aware Salient Object Detection. CoRR abs/2008.04159 (2020) - [i19]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) - [i18]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) - [i17]Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Kernel Two-Dimensional Ridge Regression for Subspace Clustering. CoRR abs/2011.01477 (2020) - 2019
- [i16]Md Rushdie Ibne Islam, Chong Peng:
A Total Lagrangian SPH Method for Modelling Damage and Failure in Solids. CoRR abs/1901.08342 (2019) - [i15]Md Rushdie Ibne Islam, Ankur Bansal, Chong Peng:
Numerical Simulation of Metal Machining Process with Eulerian and Total Lagrangian SPH. CoRR abs/1904.02499 (2019) - [i14]Chong Peng, Qiang Cheng:
Discriminative Regression Machine: A Classifier for High-Dimensional Data or Imbalanced Data. CoRR abs/1904.07496 (2019) - [i13]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) - [i12]Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Nonnegative Matrix Factorization with Local Similarity Learning. CoRR abs/1907.04150 (2019) - [i11]Md Rushdie Ibne Islam, Chong Peng:
A stabilized total-Lagrangian SPH method for large deformation and failure in geomaterials. CoRR abs/1907.06990 (2019) - [i10]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu:
Structure Learning with Similarity Preserving. CoRR abs/1912.01197 (2019) - 2017
- [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
- [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
- [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
[j52] [j49] [j44] [j42] [j41] [j37] [j36] [j35] [j34] [j33] [j29] [j25] [j15] [j14] [j13] [j11] [j8] [j7] [j6] [j4] [j3] [j2] [c31] [c28] [c20] [c17] [c16] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [c1] [i30] [i29] [i27] [i26] [i25] [i24] [i23] [i18] [i17] [i14] [i13] [i12] [i9] [i8] [i7] [i6] [i4] [i3] [i2] [i1]
[j52] [j50] [j49] [j44] [j42] [j41] [j37] [j36] [j35] [j34] [j33] [j25] [j24] [j23] [j16] [j15] [j14] [j13] [j11] [j7] [j6] [j4] [j3] [j2] [c31] [c22] [c17] [c16] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [c1] [i30] [i29] [i23] [i18] [i17] [i13] [i12] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-11-15 20:38 CET by the dblp team
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