Qian Zhao

According to our database, Qian Zhao authored at least 64 papers between 2012 and 2020.

Collaborative distances:

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

2020

Multilinear Multitask Learning by Rank-Product Regularization.

Qian Zhao, Xiangyu Rui, Zhi Han, Deyu Meng

IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise.

Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.

Dong Zeng, Lisha Yao, Yongshuai Ge, Sui Li, Qi Xie, Hao Zhang, Zhaoying Bian, Qian Zhao, Yuanqing Li, Zongben Xu, Deyu Meng, Jianhua Ma

IEEE Trans. Medical Imaging, 2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.

Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng

IEEE Trans. Image Process., 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.

Yuanke Zhang, Jiangjun Peng, Dong Zeng, Qi Xie, Sui Li, Zhaoying Bian, Yongbo Wang, Yong Zhang, Qian Zhao, Hao Zhang, Zhengrong Liang, Hongbing Lu, Deyu Meng, Jianhua Ma

IEEE Trans. Computational Imaging, 2020

Discovering influential factors in variational autoencoders.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu

Pattern Recognit., 2020

Single image rain streaks removal: a review and an exploration.

Hong Wang, Qi Xie, Yichen Wu, Qian Zhao, Deyu Meng

Int. J. Mach. Learn. Cybern., 2020

From Rain Removal to Rain Generation.

Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng

CoRR, 2020

Meta Feature Modulator for Long-tailed Recognition.

Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng

CoRR, 2020

Learning to Purify Noisy Labels via Meta Soft Label Corrector.

Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

CoRR, 2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.

Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu

CoRR, 2020

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation.

Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng

CoRR, 2020

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.

Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng

CoRR, 2020

Structural Residual Learning for Single Image Rain Removal.

Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng

CoRR, 2020

Learning Adaptive Loss for Robust Learning with Noisy Labels.

Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng

CoRR, 2020

MEP-Based Channel Estimation under Complex Communication Environment.

Zhengyang Hu, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Model-Driven Deep Neural Network for Single Image Rain Removal.

Hong Wang, Qi Xie, Qian Zhao, Deyu Meng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.

Jing Yao, Deyu Meng, Qian Zhao, Wenfei Cao, Zongben Xu

IEEE Trans. Image Process., 2019

A Survey on Rain Removal from Video and Single Image.

Hong Wang, Minghan Li, Yichen Wu, Qian Zhao, Deyu Meng

CoRR, 2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding.

Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng

CoRR, 2019

Variational Bayes' method for functions with applications to some inverse problems.

Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng

CoRR, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.

Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

CoRR, 2019

Variational Denoising Network: Toward Blind Noise Modeling and Removal.

Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, Lei Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting.

Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust CSI Estimation Under Complex Communication Environment.

Haipei Zhang, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.

Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu

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

Semi-Supervised Transfer Learning for Image Rain Removal.

Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu

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

2018

A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians.

Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang

IEEE Trans. Neural Networks Learn. Syst., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.

Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu

IEEE Trans. Cybern., 2018

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.

Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Hyperspectral Image Restoration under Complex Multi-Band Noises.

Zongsheng Yue, Deyu Meng, Yongqing Sun, Qian Zhao

Remote. Sens., 2018

Infrared small-dim target detection based on Markov random field guided noise modeling.

Chenqiang Gao, Lan Wang, Yongxing Xiao, Qian Zhao, Deyu Meng

Pattern Recognit., 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.

Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust subspace clustering via penalized mixture of Gaussians.

Jing Yao, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu

Neurocomputing, 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.

Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung

CoRR, 2018

Discovering Influential Factors in Variational Autoencoder.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng

CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.

Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, Dong Zeng, Jianhua Ma, Wangmeng Zuo, Deyu Meng

CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.

Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu

CoRR, 2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.

Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.

Qi Xie, Dong Zeng, Qian Zhao, Deyu Meng, Zongben Xu, Zhengrong Liang, Jianhua Ma

IEEE Trans. Medical Imaging, 2017

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization.

Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, Deyu Meng, Yee Leung

IEEE Geosci. Remote. Sens. Lett., 2017

A theoretical understanding of self-paced learning.

Deyu Meng, Qian Zhao, Lu Jiang

Inf. Sci., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.

Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu

Neurocomputing, 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.

Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu

CoRR, 2017

A General Model for Robust Tensor Factorization with Unknown Noise.

Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang

CoRR, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?

Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.

Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu

IEEE Trans. Image Process., 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.

Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu

CoRR, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.

Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Tensor Factorization with Unknown Noise.

Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

L₁-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.

Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Yan Yan

IEEE Trans. Neural Networks Learn. Syst., 2015

A block coordinate descent approach for sparse principal component analysis.

Qian Zhao, Deyu Meng, Zongben Xu, Chenqiang Gao

Neurocomputing, 2015

What Objective Does Self-paced Learning Indeed Optimize?

Deyu Meng, Qian Zhao

CoRR, 2015

A Novel Sparsity Measure for Tensor Recovery.

Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection.

Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.

Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Self-Paced Learning for Matrix Factorization.

Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Self-Paced Curriculum Learning.

Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Robust sparse principal component analysis.

Qian Zhao, Deyu Meng, Zongben Xu

Sci. China Inf. Sci., 2014

Robust Principal Component Analysis with Complex Noise.

Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Learning dictionary from signals under global sparsity constraint.

Deyu Meng, Qian Zhao, Yee Leung, Zongben Xu

Neurocomputing, 2013

2012

Improve robustness of sparse PCA by L₁-norm maximization.

Deyu Meng, Qian Zhao, Zongben Xu

Pattern Recognit., 2012

Dictionary learning under global sparsity constraint

Deyu Meng, Yee Leung, Qian Zhao, Zongben Xu

CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.

Qian Zhao, Deyu Meng, Zongben Xu

CoRR, 2012