Yao Wang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 68

Top Topics

Tensor Factorization

Background Subtraction

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Image Process.

Publications

Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang
Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. IEEE Trans. Computational Imaging 10 (2024)
Sheng Liu, Jinsong Leng, Xi-Le Zhao, Haijin Zeng, Yao Wang, Jing-Hua Yang
Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Zhi Han, Yanmei Wang, Shaojie Zhang, Huijie Fan, Yandong Tang, Yao Wang
Online Video Sparse Noise Removing via Nonlocal Robust PCA. IEEE Trans. Multim. 26 (2024)
Yi Su, Xiaojun Li, Junping Yao, Chengrong Dong, Yao Wang
A Spectral-Spatial Feature Rotation-Based Ensemble Method for Imbalanced Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Kaidong Wang, Xiuwu Liao, Jun Li, Deyu Meng, Yao Wang
Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network. IEEE Trans. Image Process. 32 (2023)
Zhi Han, Shaojie Zhang, Zhiyu Liu, Yanmei Wang, Junping Yao, Yao Wang
Tensor Robust Principal Component Analysis With Side Information: Models and Applications. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou
Lifting the Veil: Unlocking the Power of Depth in Q-learning. CoRR (2023)
Pengyu Zuo, Yao Wang, Shaojie Tang
Regularized online DR-submodular optimization. UAI (2023)
Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang
Efficient Generalized Low-Rank Tensor Contextual Bandits. CoRR (2023)
Zina Li, Yao Wang, Qian Zhao, Shijun Zhang, Deyu Meng
A Tensor-Based Online RPCA Model for Compressive Background Subtraction. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Chenhao Wang, Yao Wang, Shaojie Tang
When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model. COCOA (2) (2023)
Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng
Provable Tensor Completion with Graph Information. CoRR (2023)
Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin
Nystrom Regularization for Time Series Forecasting. J. Mach. Learn. Res. 23 (2022)
Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou
Universal Consistency of Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 68 (7) (2022)
Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng
Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang
Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. INFORMS J. Comput. 34 (6) (2022)
Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang
Effective Tensor Completion via Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation. IEEE Trans. Circuits Syst. Video Technol. 32 (11) (2022)
Yao Wang, Yishan Han, Kaidong Wang, Xi-Le Zhao
Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging. Signal Process. 195 (2022)
Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. CoRR (2022)
Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. CoRR (2021)
Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou
Universal Consistency of Deep Convolutional Neural Networks. CoRR (2021)
Haiquan Qiu, Yao Wang, Deyu Meng
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. CVPR (2021)
Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang
Non-Convex Sparse Deviation Modeling Via Generative Models. ICASSP (2021)
Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin
Nyström Regularization for Time Series Forecasting. CoRR (2021)
Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Trans. Cybern. 51 (3) (2021)
Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets. CoRR (2021)
Yinghua Fu, Yao Wang, Yin Zhong, Dongxiang Fu, Qing Peng
Change detection based on tensor RPCA for longitudinal retinal fundus images. Neurocomputing 387 (2020)
Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang
Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP (2020)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. Eur. J. Oper. Res. 286 (3) (2020)
Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58 (11) (2020)
Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP (2020)
Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Deep plug-and-play prior for low-rank tensor completion. Neurocomputing 400 (2020)
Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng
Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. IEEE Trans. Image Process. 29 (2020)
Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang
RIP-based performance guarantee for low-tubal-rank tensor recovery. J. Comput. Appl. Math. 374 (2020)
Qianxin Yi, Chenhao Wang, Xiuwu Liao, Yao Wang
A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration. ICASSP (2020)
Yao Wang, Xin Guo, Shao-Bo Lin
Kernel-based L_2-Boosting with Structure Constraints. CoRR (2020)
Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform. 35 (10) (2019)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. IEEE Trans. Image Process. 28 (4) (2019)
Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Deep Plug-and-play Prior for Low-rank Tensor Completion. CoRR (2019)
Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang
RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR (2019)
Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
Deep Generative Learning via Variational Gradient Flow. ICML (2019)
Yao Wang, Xu Liao, Shaobo Lin
Rescaled Boosting in Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
Deep Generative Learning via Variational Gradient Flow. CoRR (2019)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. CoRR (2019)
Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (4) (2018)
Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. CoRR (2018)
Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang
Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access 6 (2018)
Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. CoRR (2018)
Qiong Luo, Zhi Han, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang
Tensor RPCA by Bayesian CP Factorization with Complex Noise. ICCV (2017)
Yao Wang, Xiai Chen, Zhi Han, Shiying He
Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization. Remote. Sens. 9 (12) (2017)
Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, Deyu Meng, Yee Leung
Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. IEEE Geosci. Remote. Sens. Lett. 14 (12) (2017)
Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
-Rescale Boosting for Regression. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang
A General Model for Robust Tensor Factorization with Unknown Noise. CoRR (2017)
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. CVPR (2017)
Yao Wang, Jiangjun Peng, Qian Zhao, Deyu Meng, Yee Leung, Xi-Le Zhao
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition. CoRR (2017)
Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. CoRR (2017)
Shiying He, Yao Wang, Jianjun Wang, Zongben Xu
Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Process. 10 (7) (2016)
Xiai Chen, Zhi Han, Yao Wang, Yandong Tang, Haibin Yu
Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment. Sci. China Inf. Sci. 59 (5) (2016)
Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. 25 (9) (2016)
Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang
Robust Tensor Factorization with Unknown Noise. CVPR (2016)
Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. CoRR (2016)
Xiangyu Chang, Shaobo Lin, Yao Wang
Divide and Conquer Local Average Regression. CoRR (2016)
Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. IGARSS (2016)
Shaobo Lin, Yao Wang, Lin Xu
Re-scale boosting for regression and classification. CoRR (2015)
Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu
Low-Rank Matrix Factorization under General Mixture Noise Distributions. ICCV (2015)
Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA (2015)
Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu
A Novel Sparsity Measure for Tensor Recovery. ICCV (2015)
Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR (2015)
Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu
Folded-concave penalization approaches to tensor completion. Neurocomputing 152 (2015)
Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
-re-scale boosting for regression. CoRR (2015)
Yao Wang, Jianjun Wang, Zongben Xu
Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. 104 (2014)
Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
Regularization: Convergence of Iterative Half Thresholding Algorithm. IEEE Trans. Signal Process. 62 (9) (2014)
Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
Regularization: Convergence of Iterative Half Thresholding Algorithm. CoRR (2013)
Yao Wang, Jianjun Wang, Zongben Xu
(0 < q ≤ 1) norm minimization. EURASIP J. Adv. Signal Process. 2013 (2013)
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang
regularization. Sci. China Inf. Sci. 53 (6) (2010)