Chong Peng

According to our database, Chong Peng authored at least 91 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrated mission reliability modeling for multistate manufacturing systems considering heterogeneous feedstocks based on extended stochastic flow manufacturing network.

Jinyong Yao, Zhanfei Gao, Yihai He, Chong Peng

Reliab. Eng. Syst. Saf., March, 2024

2023

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

Chong Peng, Xingrong Hou, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., November, 2023

Prediction using multi-objective slime mould algorithm optimized support vector regression model.

Chong Peng, Zhongyuan Che, Thunshun W. Liao, Zhongwen Zhang

Appl. Soft Comput., September, 2023

Contrastive graph clustering with adaptive filter.

Xuanting Xie, Wenyu Chen, Zhao Kang, Chong Peng

Expert Syst. Appl., June, 2023

A Data-Driven Integrated Safety Risk Warning Model Based on Deep Learning for Civil Aircraft.

Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng

IEEE Trans. Aerosp. Electron. Syst., April, 2023

Deep-Learning-Based Model for Accident-Type Prediction During Approach and Landing.

Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng

IEEE Trans. Aerosp. Electron. Syst., February, 2023

Essential Low-Rank Sample Learning for Group-Aware Subspace Clustering.

Fusheng Wang, Chenglizhao Chen, Chong Peng

IEEE Signal Process. Lett., 2023

Consensus Low-Rank Multi-View Subspace Clustering With Cross-View Diversity Preserving.

Kehan Kang, Chenglizhao Chen, Chong Peng

IEEE Signal Process. Lett., 2023

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.

Hao-Tian Li, Tong Wei, Hao Yang, Kun Hu, Chong Peng, Li-Bo Sun, Xun-Liang Cai, Min-Ling Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Risk Warning for Aircraft Bleed Air System with Multivariate State Estimation Technique.

Siyu Su, Youchao Sun, Longbiao Li, Chong Peng, Haitao Zhang, Tingting Zhang

J. Aerosp. Inf. Syst., August, 2022

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

Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxing Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

IEEE Trans. Geosci. Remote. Sens., 2022

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

Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, Yicong Zhou

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

IEEE Trans. Circuits Syst. Video Technol., 2022

A Novel Video Salient Object Detection Method via Semisupervised Motion Quality Perception.

Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang

IEEE Trans. Circuits Syst. Video Technol., 2022

Preserving bilateral view structural information for subspace clustering.

Chong Peng, Jing Zhang, Yongyong Chen, Xin Xing, Chenglizhao Chen, Zhao Kang, Li Guo, Qiang Cheng

Knowl. Based Syst., 2022

Log-based sparse nonnegative matrix factorization for data representation.

Chong Peng, Yiqun Zhang, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., 2022

Two-dimensional semi-nonnegative matrix factorization for clustering.

Chong Peng, Zhilu Zhang, Chenglizhao Chen, Zhao Kang, Qiang Cheng

Inf. Sci., 2022

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

Xinxing Wu, Chong Peng, Richard J. Charnigo, Qiang Cheng

CoRR, 2022

Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets.

Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng

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, Gregory Jicha, Donna Wilcock, Qiang Cheng

CoRR, 2022

Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization.

Chong Peng, Yang Liu, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

CoRR, 2022

Robust Sparse and Low-rank Subspace Clustering with Log-based Nonconvex Approximations.

Keke Fei, Chong Peng, Kehan Kang, Wenjiang Shao

Proceedings of the 5th International Conference on Big Data Technologies, 2022

AssocFormer: Association Transformer for Multi-label Classification.

Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity.

Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Teng Yu, Chong Peng, Hong Qin

ACM Trans. Multim. Comput. Commun. Appl., 2021

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

Chong Peng, Qiang Cheng

IEEE Trans. Neural Networks Learn. Syst., 2021

Depth-Quality-Aware Salient Object Detection.

Chenglizhao Chen, Jipeng Wei, Chong Peng, Hong Qin

IEEE Trans. Image Process., 2021

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

Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou

IEEE Trans. Image Process., 2021

Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection.

Chenglizhao Chen, Guotao Wang, Chong Peng, Yuming Fang, Dingwen Zhang, Hong Qin

IEEE Trans. Image Process., 2021

Kernel two-dimensional ridge regression for subspace clustering.

Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Pattern Recognit., 2021

Structured graph learning for clustering and semi-supervised classification.

Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

Pattern Recognit., 2021

Learning discriminative representation for image classification.

Chong Peng, Yang Liu, Xin Zhang, Zhao Kang, Yongyong Chen, Chenglizhao Chen, Qiang Cheng

Knowl. Based Syst., 2021

Nonnegative matrix factorization with local similarity learning.

Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Inf. Sci., 2021

Partial Tubal Nuclear Norm Regularized Multi-view Learning.

Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hyperspectral Image Denoising With Log-Based Robust PCA.

Yang Liu, Qian Zhang, Yongyong Chen, Qiang Cheng, Chong Peng

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Human-in-the-loop Approach to Social Behavioral Targeting.

Jingru Yang, Xiaoman Zhao, Ju Fan, Gong Chen, Chong Peng, Sheng Yao, Xiaoyong Du

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Self-Paced Two-dimensional PCA.

Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Salient Object Detection via Multiple Instance Joint Re-Learning.

Guangxiao Ma, Chenglizhao Chen, Shuai Li, Chong Peng, Aimin Hao, Hong Qin

IEEE Trans. Multim., 2020

Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion.

Chenglizhao Chen, Jipeng Wei, Chong Peng, Weizhong Zhang, Hong Qin

IEEE Trans. Image Process., 2020

Improved Robust Video Saliency Detection Based on Long-Term Spatial-Temporal Information.

Chenglizhao Chen, Guotao Wang, Chong Peng, Xiaowei Zhang, Hong Qin

IEEE Trans. Image Process., 2020

Partition level multiview subspace clustering.

Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu

Neural Networks, 2020

Structure learning with similarity preserving.

Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu

Neural Networks, 2020

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

Chong Peng, Yongyong Chen, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Inf. Sci., 2020

A PCISPH implementation using distributed multi-GPU acceleration for simulating industrial engineering applications.

Kevin Verma, Christopher McCabe, Chong Peng, Robert Wille

Int. J. High Perform. Comput. Appl., 2020

Structured Graph Learning for Clustering and Semi-supervised Classification.

Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian

CoRR, 2020

Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity.

Chenglizhao Chen, Hongmeng Zhao, Huan Yang, Chong Peng, Teng Yu

CoRR, 2020

A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception.

Chenglizhao Chen, Jia Song, Chong Peng, Guodong Wang, Yuming Fang

CoRR, 2020

Feature Selection Embedded Robust K-Means.

Qian Zhang, Chong Peng

IEEE Access, 2020

Social Influence Does Matter: User Action Prediction for In-Feed Advertising.

Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Product family flexibility design method based on hybrid adaptive ant colony algorithm.

Wei Wei, Zhenyu Tian, Chong Peng, Ang Liu, Zhinan Zhang

Soft Comput., 2019

Structure Learning with Similarity Preserving.

Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu

CoRR, 2019

A stabilized total-Lagrangian SPH method for large deformation and failure in geomaterials.

Md Rushdie Ibne Islam, Chong Peng

CoRR, 2019

Nonnegative Matrix Factorization with Local Similarity Learning.

Chong Peng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

CoRR, 2019

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

Chong Peng, Qiang Cheng

CoRR, 2019

Numerical Simulation of Metal Machining Process with Eulerian and Total Lagrangian SPH.

Md Rushdie Ibne Islam, Ankur Bansal, Chong Peng

CoRR, 2019

A Total Lagrangian SPH Method for Modelling Damage and Failure in Solids.

Md Rushdie Ibne Islam, Chong Peng

CoRR, 2019

Recent development of Ori-Finder system and DoriC database for microbial replication origins.

Hao Luo, Chun-Lan Quan, Chong Peng, Feng Gao

Briefings Bioinform., 2019

Structure-Aware Adaptive Diffusion for Video Saliency Detection.

Chenglizhao Chen, Guotao Wang, Chong Peng

IEEE Access, 2019

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

Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Integrate and Conquer: Double-Sided Two-Dimensional <i>k</i>-Means Via Integrating of Projection and Manifold Construction.

Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng

ACM Trans. Intell. Syst. Technol., 2018

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

Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, Mingqing Xiao

Symmetry, 2018

AMulti-GPU PCISPH Implementation with Efficient Memory Transfers.

Kevin Verma, Chong Peng, Kamil Szewc, Robert Wille

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Unified Spectral Clustering With Optimal Graph.

Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Robust Graph Regularized Nonnegative Matrix Factorization for Clustering.

Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng

ACM Trans. Knowl. Discov. Data, 2017

Nonnegative Matrix Factorization with Integrated Graph and Feature Learning.

Chong Peng, Zhao Kang, Yunhong Hu, Jie Cheng, Qiang Cheng

ACM Trans. Intell. Syst. Technol., 2017

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

Chong Peng, Jie Cheng, Qiang Cheng

ACM Trans. Intell. Syst. Technol., 2017

Full-Wave Simulation and Analysis of Bistatic Scattering and Polarimetric Emissions From Double-Layered Sastrugi Surfaces.

Peng Xu, Kun-Shan Chen, Yu Liu, Jiancheng Shi, Chong Peng, Rui Jiang, Jiangyuan Zeng

IEEE Trans. Geosci. Remote. Sens., 2017

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation.

Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He

IEEE Trans. Geosci. Remote. Sens., 2017

Image Projection Ridge Regression for Subspace Clustering.

Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen, Qiang Cheng

IEEE Signal Process. Lett., 2017

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization.

Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He

IEEE Geosci. Remote. Sens. Lett., 2017

Integrating feature and graph learning with low-rank representation.

Chong Peng, Zhao Kang, Qiang Cheng

Neurocomputing, 2017

Kernel-driven similarity learning.

Zhao Kang, Chong Peng, Qiang Cheng

Neurocomputing, 2017

Clustering with Adaptive Manifold Structure Learning.

Zhao Kang, Chong Peng, Qiang Cheng

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Exploiting Nonlinear Relationships for Top-N Recommender Systems.

Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Subspace Clustering via Variance Regularized Ridge Regression.

Chong Peng, Zhao Kang, Qiang Cheng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Two rank approximations for low-rank based subspace clustering.

Fei Xu, Chong Peng, Yunhong Hu, Guoping He

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

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

Zhao Kang, Chong Peng, Qiang Cheng

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Feature Selection Embedded Subspace Clustering.

Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng

IEEE Signal Process. Lett., 2016

Experimental Analysis of Cluster-Based Multi-Channel Mechanism for Inter-Vehicle Safety Warning Message Transmission.

Lei Ye, Chong Peng, Lingqiu Zeng, Qingwen Han, Xiaoying Liu, Dongmei Chen, Chen Du

J. Commun., 2016

A Fast Factorization-based Approach to Robust PCA.

Chong Peng, Zhao Kang, Qiang Chen

CoRR, 2016

V2V channel allocation method based on SWM communication demand matrix.

Lei Ye, Chong Peng, Qingwen Han, Lingqiu Zeng, Lei Chen, Xiaoying Liu, Yongbing Xu

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

A Fast Factorization-Based Approach to Robust PCA.

Chong Peng, Zhao Kang, Qiang Cheng

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

RAP: Scalable RPCA for Low-rank Matrix Recovery.

Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommendation on Graphs.

Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Top-N Recommender System via Matrix Completion.

Zhao Kang, Chong Peng, Qiang Cheng

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Robust Subspace Clustering via Smoothed Rank Approximation.

Zhao Kang, Chong Peng, Qiang Cheng

IEEE Signal Process. Lett., 2015

LogDet Rank Minimization with Application to Subspace Clustering.

Zhao Kang, Chong Peng, Jie Cheng, Qiang Cheng

Comput. Intell. Neurosci., 2015

Subspace Clustering Using Log-determinant Rank Approximation.

Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Biological Prototype Model for Road Abnormal Vehicle Behavior Simulation.

Lingqiu Zeng, Xueying He, Qingwen Han, Xiaoying Liu, Chong Peng, Bin Yang, Lei Ye

Proceedings of the Internet of Vehicles - Safe and Intelligent Mobility, 2015

Robust PCA Via Nonconvex Rank Approximation.

Zhao Kang, Chong Peng, Qiang Cheng

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust Subspace Clustering via Tighter Rank Approximation.

Zhao Kang, Chong Peng, Qiang Cheng

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2004

An Optic-Fiber Interferometer for the Dynamic Characterization of Microstructures.

Chong Peng, Peiqiang Zhang

Int. J. Inf. Acquis., 2004