Qian Zhao

According to our database1, Qian Zhao authored at least 64 papers between 2012 and 2020.

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Bibliography

2020
Multilinear Multitask Learning by Rank-Product Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise.
IEEE Trans. Neural Networks Learn. Syst., 2020

Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
IEEE Trans. Medical Imaging, 2020

Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing.
IEEE Trans. Image Process., 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.
IEEE Trans. Computational Imaging, 2020

Discovering influential factors in variational autoencoders.
Pattern Recognit., 2020

Single image rain streaks removal: a review and an exploration.
Int. J. Mach. Learn. Cybern., 2020

From Rain Removal to Rain Generation.
CoRR, 2020

Meta Feature Modulator for Long-tailed Recognition.
CoRR, 2020

Learning to Purify Noisy Labels via Meta Soft Label Corrector.
CoRR, 2020

Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize.
CoRR, 2020

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation.
CoRR, 2020

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels.
CoRR, 2020

Structural Residual Learning for Single Image Rain Removal.
CoRR, 2020

Learning Adaptive Loss for Robust Learning with Noisy Labels.
CoRR, 2020

MEP-Based Channel Estimation under Complex Communication Environment.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Model-Driven Deep Neural Network for Single Image Rain Removal.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing.
IEEE Trans. Image Process., 2019

A Survey on Rain Removal from Video and Single Image.
CoRR, 2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding.
CoRR, 2019

Variational Bayes' method for functions with applications to some inverse problems.
CoRR, 2019

Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels.
CoRR, 2019

Variational Denoising Network: Toward Blind Noise Modeling and Removal.
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.
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.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semi-Supervised Transfer Learning for Image Rain Removal.
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.
IEEE Trans. Neural Networks Learn. Syst., 2018

Denoising Hyperspectral Image With Non-i.i.d. Noise Structure.
IEEE Trans. Cybern., 2018

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Hyperspectral Image Restoration under Complex Multi-Band Noises.
Remote. Sens., 2018

Infrared small-dim target detection based on Markov random field guided noise modeling.
Pattern Recognit., 2018

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust subspace clustering via penalized mixture of Gaussians.
Neurocomputing, 2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing.
CoRR, 2018

Discovering Influential Factors in Variational Autoencoder.
CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.
CoRR, 2018

Semi-supervised CNN for Single Image Rain Removal.
CoRR, 2018

Video Rain Streak Removal by Multiscale Convolutional Sparse Coding.
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.
IEEE Trans. Medical Imaging, 2017

Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization.
IEEE Geosci. Remote. Sens. Lett., 2017

A theoretical understanding of self-paced learning.
Inf. Sci., 2017

Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification.
Neurocomputing, 2017

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning.
CoRR, 2017

A General Model for Robust Tensor Factorization with Unknown Noise.
CoRR, 2017

Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions.
IEEE Trans. Image Process., 2016

Low-rank Matrix Factorization under General Mixture Noise Distributions.
CoRR, 2016

Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Robust Tensor Factorization with Unknown Noise.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
L<sub>1</sub>-Norm Low-Rank Matrix Factorization by Variational Bayesian Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

A block coordinate descent approach for sparse principal component analysis.
Neurocomputing, 2015

What Objective Does Self-paced Learning Indeed Optimize?
CoRR, 2015

A Novel Sparsity Measure for Tensor Recovery.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Low-Rank Matrix Factorization under General Mixture Noise Distributions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Self-Paced Learning for Matrix Factorization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Self-Paced Curriculum Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust sparse principal component analysis.
Sci. China Inf. Sci., 2014

Robust Principal Component Analysis with Complex Noise.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Learning dictionary from signals under global sparsity constraint.
Neurocomputing, 2013

2012
Improve robustness of sparse PCA by L<sub>1</sub>-norm maximization.
Pattern Recognit., 2012

Dictionary learning under global sparsity constraint
CoRR, 2012

A recursive divide-and-conquer approach for sparse principal component analysis.
CoRR, 2012


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