Qian Zhao

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i10-index	64	62

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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
Zongsheng YueNanyang Technological UniversityVerified email at ntu.edu.sg
Yao WangXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Jun Shu (束俊)Ph.D. Candidate, School of Mathematics & Statistics, Xi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Xiangyong Cao (曹相湧)Associate Professor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Lu JiangResearch Scientist, Google & Adjunct Professor, CMUVerified email at cs.cmu.edu
Minghan LIPHD student of Computing, The Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Wei WeiNorthwestern UniversityVerified email at u.northwestern.edu
Jiangjun Peng (彭江军)Xi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Minghao ZhouXi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Hongwei YongResearch Assistant Professor in the Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Yichen WuPhD Candidate in City University of Hong KongVerified email at my.cityu.edu.hk
Hong Wang (王红)Senior Researcher, Tencent, Shenzhen, ChinaVerified email at tencent.com
Dong ZengSouthern Medical University, ChinaVerified email at smu.edu.cn
Shuhang GuUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Jianhua MaSouthern Medical UniversityVerified email at smu.edu.cn

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
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	623	2019
Self-Paced Curriculum Learning L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann AAAI 2 (5.4), 6, 2015	527	2015
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	335	2019
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	308	2017
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	279	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	250	2014
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	246	2020
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	240	2016
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	228	2018
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	202	2019
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	194*	2017
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	185	2018
Self-Paced Learning for Matrix Factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann AAAI, 3196-3202, 2015	162	2015
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	160	2012
Dual adversarial network: Toward real-world noise removal and noise generation Z Yue, Q Zhao, L Zhang, D Meng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	158	2020
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	156	2018
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	154	2018
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	142	2017
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	133	2015
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	123	2019

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