Yao Wang

According to our database, Yao Wang authored at least 77 papers between 2010 and 2025.

Collaborative distances:

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

2025

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization.

Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang

Signal Process., 2025

2024

Effective Generalized Low-Rank Tensor Contextual Bandits.

Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang

IEEE Trans. Knowl. Data Eng., December, 2024

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

Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery.

Sheng Liu, Jinsong Leng, Xi-Le Zhao, Haijin Zeng, Yao Wang, Jing-Hua Yang

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions.

Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Online Video Sparse Noise Removing via Nonlocal Robust PCA.

Zhi Han, Yanmei Wang, Shaojie Zhang, Huijie Fan, Yandong Tang, Yao Wang

IEEE Trans. Multim., 2024

Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior.

Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang

IEEE Trans. Computational Imaging, 2024

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent.

Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang

CoRR, 2024

2023

A Tensor-Based Online RPCA Model for Compressive Background Subtraction.

Zina Li, Yao Wang, Qian Zhao, Shijun Zhang, Deyu Meng

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Efficient fraud detection using deep boosting decision trees.

Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang

Decis. Support Syst., December, 2023

Tensor Robust Principal Component Analysis With Side Information: Models and Applications.

Zhi Han, Shaojie Zhang, Zhiyu Liu, Yanmei Wang, Junping Yao, Yao Wang

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices.

Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network.

Kaidong Wang, Xiuwu Liao, Jun Li, Deyu Meng, Yao Wang

IEEE Trans. Image Process., 2023

A Spectral-Spatial Feature Rotation-Based Ensemble Method for Imbalanced Hyperspectral Image Classification.

Yi Su, Xiaojun Li, Junping Yao, Chengrong Dong, Yao Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Efficient Generalized Low-Rank Tensor Contextual Bandits.

Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang

CoRR, 2023

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

Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou

CoRR, 2023

Provable Tensor Completion with Graph Information.

Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng

CoRR, 2023

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

Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin

CoRR, 2023

Regularized online DR-submodular optimization.

Pengyu Zuo, Yao Wang, Shaojie Tang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model.

Chenhao Wang, Yao Wang, Shaojie Tang

Proceedings of the Combinatorial Optimization and Applications, 2023

2022

Universal Consistency of Deep Convolutional Neural Networks.

Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou

IEEE Trans. Inf. Theory, 2022

Effective Tensor Completion via Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation.

Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang

IEEE Trans. Circuits Syst. Video Technol., 2022

Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging.

Yao Wang, Yishan Han, Kaidong Wang, Xi-Le Zhao

Signal Process., 2022

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements.

Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Assortment optimization with repeated exposures and product-dependent patience cost.

Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen

Oper. Res. Lett., 2022

Nystrom Regularization for Time Series Forecasting.

Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin

J. Mach. Learn. Res., 2022

Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications.

Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang

INFORMS J. Comput., 2022

Fast and Provable Nonconvex Tensor RPCA.

Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao

Proceedings of the International Conference on Machine Learning, 2022

2021

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

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

IEEE Trans. Cybern., 2021

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

Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou

CoRR, 2021

Non-Convex Sparse Deviation Modeling Via Generative Models.

Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors.

Haiquan Qiu, Yao Wang, Deyu Meng

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.

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

IEEE Trans. Image Process., 2020

Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing.

Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng

IEEE Trans. Geosci. Remote. Sens., 2020

RIP-based performance guarantee for low-tubal-rank tensor recovery.

Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang

J. Comput. Appl. Math., 2020

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

Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng

Neurocomputing, 2020

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

Yinghua Fu, Yao Wang, Yin Zhong, Dongxiang Fu, Qing Peng

Neurocomputing, 2020

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.

Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang

Eur. J. Oper. Res., 2020

Kernel-based L_2-Boosting with Structure Constraints.

Yao Wang, Xin Guo, Shao-Bo Lin

CoRR, 2020

A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration.

Qianxin Yi, Chenhao Wang, Xiuwu Liao, Yao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion.

Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements.

Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Rescaled Boosting in Classification.

Yao Wang, Xu Liao, Shaobo Lin

IEEE Trans. Neural Networks Learn. Syst., 2019

Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation.

Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin

IEEE Trans. Neural Networks Learn. Syst., 2019

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors.

Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang

IEEE Trans. Image Process., 2019

Structure learning of sparse directed acyclic graphs incorporating the scale-free property.

Xiao Guo, Hai Zhang, Yao Wang, Yong Liang

Comput. Stat., 2019

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

Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang

Bioinform., 2019

Deep Generative Learning via Variational Gradient Flow.

Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang

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.

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

IEEE Trans. Neural Networks Learn. Syst., 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

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

Perturbations of Compressed Data Separation With Redundant Tight Frames.

Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang

IEEE Access, 2018

2017

Shrinkage Degree in L₂-Rescale Boosting for Regression.

Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu

IEEE Trans. Neural Networks Learn. Syst., 2017

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

Yao Wang, Xiai Chen, Zhi Han, Shiying He

Remote. Sens., 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

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

Tensor RPCA by Bayesian CP Factorization with Complex Noise.

Qiong Luo, Zhi Han, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang

Proceedings of the IEEE International Conference on Computer Vision, 2017

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors.

Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang

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.

Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu

IEEE Trans. Image Process., 2016

Block-sparse compressed sensing with partially known signal support via non-convex minimisation.

Shiying He, Yao Wang, Jianjun Wang, Zongben Xu

IET Signal Process., 2016

Profit-aware Team Grouping in Social Networks: A Generalized Cover Decomposition Approach.

Shaojie Tang, Jing Yuan, Tao Li, Yao Wang

CoRR, 2016

Divide and Conquer Local Average Regression.

Xiangyu Chang, Shaobo Lin, Yao Wang

CoRR, 2016

Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment.

Xiai Chen, Zhi Han, Yao Wang, Yandong Tang, Haibin Yu

Sci. China Inf. Sci., 2016

Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization.

Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 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

Folded-concave penalization approaches to tensor completion.

Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu

Neurocomputing, 2015

Shrinkage degree in L₂-re-scale boosting for regression.

Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu

CoRR, 2015

Re-scale boosting for regression and classification.

Shaobo Lin, Yao Wang, Lin Xu

CoRR, 2015

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

Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu

CoRR, 2015

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification.

Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 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

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

2014

L_1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm.

Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu

IEEE Trans. Signal Process., 2014

Restricted p-isometry properties of nonconvex block-sparse compressed sensing.

Yao Wang, Jianjun Wang, Zongben Xu

Signal Process., 2014

2013

On recovery of block-sparse signals via mixed l₂/l_q (0 < q ≤ 1) norm minimization.

Yao Wang, Jianjun Wang, Zongben Xu

EURASIP J. Adv. Signal Process., 2013

2010

<i>L</i>_1/2 regularization.

Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang

Sci. China Inf. Sci., 2010