Yao Wang

Orcid: 0000-0003-4207-5273

Affiliations:
  • Xi'an Jiaotong University, School of Mathematics and Statistics, China (PhD 2014)


According to our database1, Yao Wang authored at least 69 papers between 2010 and 2024.

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Timeline

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Bibliography

2024
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior.
IEEE Trans. Computational Imaging, 2024

2023
A Tensor-Based Online RPCA Model for Compressive Background Subtraction.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Efficient fraud detection using deep boosting decision trees.
Decis. Support Syst., December, 2023

Tensor Robust Principal Component Analysis With Side Information: Models and Applications.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network.
IEEE Trans. Image Process., 2023

A Spectral-Spatial Feature Rotation-Based Ensemble Method for Imbalanced Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Efficient Generalized Low-Rank Tensor Contextual Bandits.
CoRR, 2023

Lifting the Veil: Unlocking the Power of Depth in Q-learning.
CoRR, 2023

Provable Tensor Completion with Graph Information.
CoRR, 2023

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes.
CoRR, 2023

Regularized online DR-submodular optimization.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model.
Proceedings of the Combinatorial Optimization and Applications, 2023

2022
Universal Consistency of Deep Convolutional Neural Networks.
IEEE Trans. Inf. Theory, 2022

Effective Tensor Completion via Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging.
Signal Process., 2022

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Assortment optimization with repeated exposures and product-dependent patience cost.
Oper. Res. Lett., 2022

Nystrom Regularization for Time Series Forecasting.
J. Mach. Learn. Res., 2022

Fast and Provable Nonconvex Tensor RPCA.
Proceedings of the International Conference on Machine Learning, 2022

2021
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning.
IEEE Trans. Cybern., 2021

Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets.
CoRR, 2021

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration.
CoRR, 2021

Non-Convex Sparse Deviation Modeling Via Generative Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2020

RIP-based performance guarantee for low-tubal-rank tensor recovery.
J. Comput. Appl. Math., 2020

Deep plug-and-play prior for low-rank tensor completion.
Neurocomputing, 2020

Change detection based on tensor RPCA for longitudinal retinal fundus images.
Neurocomputing, 2020

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.
Eur. J. Oper. Res., 2020

Kernel-based L_2-Boosting with Structure Constraints.
CoRR, 2020

A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Rescaled Boosting in Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2019

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors.
IEEE Trans. Image Process., 2019

Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Bioinform., 2019

Deep Generative Learning via Variational Gradient Flow.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

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

Perturbations of Compressed Data Separation With Redundant Tight Frames.
IEEE Access, 2018

2017
Shrinkage Degree in L<sub>2</sub>-Rescale Boosting for Regression.
IEEE Trans. Neural Networks Learn. Syst., 2017

Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization.
Remote. Sens., 2017

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

Tensor RPCA by Bayesian CP Factorization with Complex Noise.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016

Block-sparse compressed sensing with partially known signal support via non-convex minimisation.
IET Signal Process., 2016

Divide and Conquer Local Average Regression.
CoRR, 2016

Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment.
Sci. China Inf. Sci., 2016

Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

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

2015
Folded-concave penalization approaches to tensor completion.
Neurocomputing, 2015

Shrinkage degree in L<sub>2</sub>-re-scale boosting for regression.
CoRR, 2015

Re-scale boosting for regression and classification.
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Novel Sparsity Measure for Tensor Recovery.
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

2014
L<sub>1/2</sub> Regularization: Convergence of Iterative Half Thresholding Algorithm.
IEEE Trans. Signal Process., 2014

Restricted p-isometry properties of nonconvex block-sparse compressed sensing.
Signal Process., 2014

2013
On recovery of block-sparse signals via mixed l<sub>2</sub>/l<sub>q</sub> (0 < q ≤ 1) norm minimization.
EURASIP J. Adv. Signal Process., 2013

2010
<i>L</i><sub>1/2</sub> regularization.
Sci. China Inf. Sci., 2010


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