Xiangyong Cao - Google Scholar Citations

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	All	Since 2015
Citations	220	220
h-index	6	6
i10-index	5	5

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201620172018201920205 23 61 121 10

Co-authors

Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
John PaisleyColumbia UniversityVerified email at columbia.edu
Feng ZhouProfessor at School of Electronic Engineering, Xidian UniversityVerified email at mail.xidian.edu.cn
Yao WangXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Xiangyu ChangSchool of Management, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Haixia BiUniversity of BristolVerified email at bristol.ac.uk
Jing YaoPhD student, School of Mathematics and Statistics, Xi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Hongying MengSenior Lecturer (Assoc Prof), Brunel University London, UKVerified email at brunel.ac.uk
Chenqiang Gao (高陈强)Professor, Chongqing University of Posts and TelecommunicationsVerified email at cqupt.edu.cn
Xueyang Fu (傅雪阳)University of Science and Technology of ChinaVerified email at ustc.edu.cn
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk

Xiangyong Cao

Xi'an Jiaotong University

Verified email at mail.xjtu.edu.cn - Homepage

Hyperspectral image processing Bayesian deep learning


Title	Cited by	Year
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley IEEE Transactions on Image Processing, 2018	59	2018
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification X Cao, L Xu, D Meng, Q Zhao, Z Xu Neurocomputing 226, 90-100, 2017	46	2017
Low-rank matrix factorization under general mixture noise distributions X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 1493-1501, 2015	36	2015
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions X Cao, Q Zhao, D Meng, Y Chen, Z Xu IEEE Transactions on Image Processing 25 (10), 4677-4690, 2016	31	2016
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure Y Chen, X Cao, Q Zhao, D Meng, Z Xu IEEE transactions on cybernetics, 2017	29	2017
Polsar Image Classification based on Three-Dimensional Wavelet Texture Features and Markov Random Field H Bi, L Xu, X Cao, Z Xu 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017	7	2017
Robust subspace clustering via penalized mixture of Gaussians J Yao, X Cao, Q Zhao, D Meng, Z Xu Neurocomputing 278, 4-11, 2018	6	2018
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field X Cao, Z Xu, D Meng Remote Sensing 11 (13), 1565, 2019	3	2019
Community detection for clustered attributed graphs via a variational EM algorithm X Cao, X Chang, Z Xu Proceedings of the 2014 International Conference on Big Data Science and …, 2014	3	2014
Discovering influential factors in variational autoencoders S Liu, J Liu, Q Zhao, X Cao, H Li, D Meng, H Meng, S Liu Pattern Recognition 100, 107166, 2020		2020
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding M Li, X Cao, Q Zhao, L Zhang, C Gao, D Meng arXiv preprint arXiv:1909.06148, 2019		2019
Model-based clustering with nonconvex penalty X Chang, X Cao, D Liang, X Lu IEEE International Conference on Cyber Technology in Automation, Control …, 2016		2016

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