Qian Zhao

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Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Qi XieXi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Yao WangXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Zongsheng YueNanyang Technological UniversityVerified email at ntu.edu.sg
Xiangyong Cao (曹相湧)Associate Professor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Jun Shu (束俊)Ph.D. Candidate, School of Mathematics & Statistics, Xi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Lu JiangResearch Scientist, Google & Adjunct Professor, CMUVerified email at cs.cmu.edu
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Hong Wang (王红)Researcher, Tencent, ShenZhen, ChinaVerified email at tencent.com
Wei WeiNorthwestern UniversityVerified email at u.northwestern.edu
Jiangjun PengXi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Minghan LIPHD student of Computing, The Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
yang chen西安交通大学博士生Verified email at stu.xjtu.edu.cn
Dong ZengSouthern Medical University, ChinaVerified email at smu.edu.cn
Shuhang GuETH, ZurichVerified email at vision.ee.ethz.ch
Hongwei YongPhD candidate in the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Chenqiang Gao (高陈强)Professor, Chongqing University of Posts and TelecommunicationsVerified email at cqupt.edu.cn
Yichen WuPhD student in City University of Hong KongVerified email at my.cityu.edu.hk

Qian Zhao

Xi'an Jiaotong University

Verified email at xjtu.edu.cn - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-Paced Curriculum Learning L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann AAAI 2 (5.4), 6, 2015	422	2015
Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng Advances in Neural Information Processing Systems, 1919-1930, 2019	337	2019
Robust Principal Component Analysis with Complex Noise Q Zhao, D Meng, Z Xu, W Zuo, L Zhang Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 2014	219	2014
Hyperspectral image restoration via total variation regularized low-rank tensor decomposition Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017	191	2017
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	185	2016
Semi-supervised transfer learning for image rain removal W Wei, D Meng, Q Zhao, Z Xu, Y Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	178	2019
Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery Q Xie, Q Zhao, D Meng, Z Xu IEEE transactions on pattern analysis and machine intelligence 40 (8), 2018	165	2018
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	164*	2017
Improve robustness of sparse PCA by< i> L</i>< sub> 1</sub>-norm maximization D Meng, Q Zhao, Z Xu Pattern Recognition 45 (1), 487-497, 2012	144	2012
Video Rain Streak Removal By Multiscale Convolutional Sparse Coding M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	139	2018
Self-Paced Learning for Matrix Factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann AAAI, 3196-3202, 2015	139	2015
Variational denoising network: Toward blind noise modeling and removal Z Yue, H Yong, Q Zhao, D Meng, L Zhang Advances in neural information processing systems, 1690-1701, 2019	138	2019
Multispectral and hyperspectral image fusion by MS/HS fusion net Q Xie, M Zhou, Q Zhao, D Meng, W Zuo, Z Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	118	2019
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE International Conference on Computer Vision, 594-602, 2015	117	2015
Infrared small-dim target detection based on Markov random field guided noise modeling C Gao, L Wang, Y Xiao, Q Zhao, D Meng Pattern Recognition 76, 463-475, 2018	114	2018
A Model-driven Deep Neural Network for Single Image Rain Removal H Wang, Q Xie, Q Zhao, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	113	2020
Should we encode rain streaks in video as deterministic or stochastic? W Wei, L Yi, Q Xie, Q Zhao, D Meng, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 2516-2525, 2017	113	2017
Denoising hyperspectral image with non-iid noise structure Y Chen, X Cao, Q Zhao, D Meng, Z Xu IEEE transactions on cybernetics 48 (3), 1054-1066, 2018	104	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	97	2017
Nonconvex-sparsity and nonlocal-smoothness-based blind hyperspectral unmixing J Yao, D Meng, Q Zhao, W Cao, Z Xu IEEE Transactions on Image Processing 28 (6), 2991-3006, 2019	89	2019

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