Yao Wang - RankMe

107 papers A* 8A 2C 2Misc 4Journal 90Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic preference learning approach for multiple criteria ranking in dynamic decision context. Eur. J. Oper. Res. Siyuan Zhao, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Yao Wang
2026	J	`jnl`	The power of small initialization in noisy low-tubal-rank tensor recovery. CoRR Zhiyu Liu, Haobo Geng, Xudong Wang, Yandong Tang, Zhi Han, Yao Wang
2025	J	`jnl`	A Spatio-Temporal Online Robust Tensor Recovery Approach for Streaming Traffic Data Imputation. CoRR Yiyang Yang, Xiejian Chi, Shanxing Gao, Kaidong Wang, Yao Wang
2025	J	`jnl`	Advertising meets assortment planning: joint advertising and assortment optimization under multinomial logit model. J. Comb. Optim. Chenhao Wang, Yao Wang, Shaojie Tang
2025	J	`jnl`	Balancing Interpretability and Performance in Reinforcement Learning: An Adaptive Spectral Based Linear Approach. CoRR Qianxin Yi, Shao-Bo Lin, Jun Fan, Yao Wang
2025	J	`jnl`	Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent. CoRR Zhiyu Liu, Zhi Han, Yandong Tang, Jun Fan, Yao Wang
2025	J	`jnl`	Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent. CoRR Zhiyu Liu, Zhi Han, Yandong Tang, Hai Zhang, Shaojie Tang, Yao Wang
2025	J	`jnl`	Generalization Performance of Empirical Risk Minimization on Over-Parameterized Deep ReLU Nets. IEEE Trans. Inf. Theory Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou
2025	J	`jnl`	Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. Signal Process. Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang
2025	J	`jnl`	Kernel-based L_2-Boosting with Structure Constraints. J. Mach. Learn. Res. Yao Wang, Xin Guo, Shao-Bo Lin
2025	J	`jnl`	Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach. CoRR Yao Wang, Yiyang Yang, Kaidong Wang, Shanxing Gao, Xiuwu Liao
2025	J	`jnl`	Non-Rival Data as Rival Products: An Encapsulation-Forging Approach for Data Synthesis. CoRR Kaidong Wang, Jiale Li, Shao-Bo Lin, Yao Wang
2025	A	`conf`	Responsible RecSys by Design: Approximation Algorithms for Calibrated Recommendations with Sponsored Items. ICWSM Jing Yuan, Shaojie Tang, Shuzhang Cai, Yao Wang
2025	J	`jnl`	Robust Tensor Completion With Side Information. IEEE Trans. Knowl. Data Eng. Yao Wang, Qianxin Yi, Yiyang Yang, Shanxing Gao, Shaojie Tang, Di Wang
2025	J	`jnl`	Striking the Perfect Balance: Preserving Privacy While Boosting Utility in Collaborative Medical Prediction Platforms. CoRR Shao-Bo Lin, Xiaotong Liu, Yao Wang
2024	J	`jnl`	An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. IEEE Trans. Neural Networks Learn. Syst. Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang
2024	J	`jnl`	Effective Generalized Low-Rank Tensor Contextual Bandits. IEEE Trans. Knowl. Data Eng. Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang
2024	J	`jnl`	Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions. IEEE Trans. Neural Networks Learn. Syst. Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang
2024	J	`jnl`	Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery. IEEE Trans. Circuits Syst. Video Technol. Sheng Liu, Jinsong Leng, Xi-Le Zhao, Haijin Zeng, Yao Wang, Jing-Hua Yang
2024	J	`jnl`	Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent. CoRR Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang
2024	J	`jnl`	Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent. IEEE Trans. Signal Process. Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang
2024	J	`jnl`	Online Video Sparse Noise Removing via Nonlocal Robust PCA. IEEE Trans. Multim. Zhi Han, Yanmei Wang, Shaojie Zhang, Huijie Fan, Yandong Tang, Yao Wang
2024	J	`jnl`	Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. IEEE Trans. Computational Imaging Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang
2024	J	`jnl`	Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint. CoRR Yishan Han, Biao Xu, Yao Wang, Shanxing Gao
2023	J	`jnl`	A Spectral-Spatial Feature Rotation-Based Ensemble Method for Imbalanced Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Yi Su, Xiaojun Li, Junping Yao, Chengrong Dong, Yao Wang
2023	J	`jnl`	A Tensor-Based Online RPCA Model for Compressive Background Subtraction. IEEE Trans. Neural Networks Learn. Syst. Zina Li, Yao Wang, Qian Zhao, Shijun Zhang, Deyu Meng
2023	J	`jnl`	Efficient Fraud Detection using Deep Boosting Decision Trees. CoRR Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang
2023	J	`jnl`	Efficient Generalized Low-Rank Tensor Contextual Bandits. CoRR Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang
2023	J	`jnl`	Efficient fraud detection using deep boosting decision trees. Decis. Support Syst. Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang
2023	J	`jnl`	Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. IEEE Trans. Pattern Anal. Mach. Intell. Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng
2023	J	`jnl`	Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network. IEEE Trans. Image Process. Kaidong Wang, Xiuwu Liao, Jun Li, Deyu Meng, Yao Wang
2023	J	`jnl`	Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. CoRR Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin
2023	J	`jnl`	Lifting the Veil: Unlocking the Power of Depth in Q-learning. CoRR Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou
2023	J	`jnl`	Provable Tensor Completion with Graph Information. CoRR Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng
2023	A	`conf`	Regularized online DR-submodular optimization. UAI Pengyu Zuo, Yao Wang, Shaojie Tang
2023	J	`jnl`	Tensor Robust Principal Component Analysis With Side Information: Models and Applications. IEEE Trans. Circuits Syst. Video Technol. Zhi Han, Shaojie Zhang, Zhiyu Liu, Yanmei Wang, Junping Yao, Yao Wang
2023	—	`conf`	When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model. COCOA (2) Chenhao Wang, Yao Wang, Shaojie Tang
2022	J	`jnl`	Assortment optimization with repeated exposures and product-dependent patience cost. Oper. Res. Lett. Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen
2022	J	`jnl`	Effective Tensor Completion via Element-Wise Weighted Low-Rank Tensor Train With Overlapping Ket Augmentation. IEEE Trans. Circuits Syst. Video Technol. Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang
2022	J	`jnl`	Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. CoRR Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng
2022	A*	`conf`	Fast and Provable Nonconvex Tensor RPCA. ICML Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao
2022	J	`jnl`	Nystrom Regularization for Time Series Forecasting. J. Mach. Learn. Res. Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin
2022	J	`jnl`	Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng
2022	J	`jnl`	Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging. Signal Process. Yao Wang, Yishan Han, Kaidong Wang, Xi-Le Zhao
2022	J	`jnl`	Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. INFORMS J. Comput. Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang
2022	J	`jnl`	Universal Consistency of Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou
2021	J	`jnl`	An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. CoRR Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang
2021	A*	`conf`	Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. CVPR Haiquan Qiu, Yao Wang, Deyu Meng
2021	J	`jnl`	Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions. CoRR Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang
2021	J	`jnl`	Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation. CoRR Yang Zhang, Yao Wang, Zhi Han, Xiai Chen, Yandong Tang
2021	J	`jnl`	Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets. CoRR Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou
2021	Misc	`conf`	Non-Convex Sparse Deviation Modeling Via Generative Models. ICASSP Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang
2021	J	`jnl`	Nyström Regularization for Time Series Forecasting. CoRR Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin
2021	J	`jnl`	SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Trans. Cybern. Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu
2021	J	`jnl`	Universal Consistency of Deep Convolutional Neural Networks. CoRR Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou
2020	Misc	`conf`	A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration. ICASSP Qianxin Yi, Chenhao Wang, Xiuwu Liao, Yao Wang
2020	J	`jnl`	A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. Eur. J. Oper. Res. Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
2020	J	`jnl`	Change detection based on tensor RPCA for longitudinal retinal fundus images. Neurocomputing Yinghua Fu, Yao Wang, Yin Zhong, Dongxiang Fu, Qing Peng
2020	J	`jnl`	Deep plug-and-play prior for low-rank tensor completion. Neurocomputing Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
2020	J	`jnl`	Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. IEEE Trans. Image Process. Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng
2020	Misc	`conf`	Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang
2020	J	`jnl`	Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng
2020	J	`jnl`	Kernel-based L_2-Boosting with Structure Constraints. CoRR Yao Wang, Xin Guo, Shao-Bo Lin
2020	Misc	`conf`	Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang
2020	J	`jnl`	RIP-based performance guarantee for low-tubal-rank tensor recovery. J. Comput. Appl. Math. Feng Zhang, Wendong Wang, Jianwen Huang, Jianjun Wang, Yao Wang
2019	J	`jnl`	A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. CoRR Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
2019	A*	`conf`	Deep Generative Learning via Variational Gradient Flow. ICML Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
2019	J	`jnl`	Deep Generative Learning via Variational Gradient Flow. CoRR Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang
2019	J	`jnl`	Deep Plug-and-play Prior for Low-rank Tensor Completion. CoRR Wen-Hao Xu, Xi-Le Zhao, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
2019	J	`jnl`	FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. IEEE Trans. Image Process. Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2019	J	`jnl`	Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform. Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang
2019	J	`jnl`	RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang
2019	J	`jnl`	Rescaled Boosting in Classification. IEEE Trans. Neural Networks Learn. Syst. Yao Wang, Xu Liao, Shaobo Lin
2019	J	`jnl`	Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. Xiao Guo, Hai Zhang, Yao Wang, Yong Liang
2019	J	`jnl`	Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation. IEEE Trans. Neural Networks Learn. Syst. Xiangyu Chang, Yan Zhong, Yao Wang, Shaobo Lin
2018	J	`jnl`	A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE Trans. Neural Networks Learn. Syst. Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang
2018	J	`jnl`	Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. CoRR Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung
2018	J	`jnl`	FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors. CoRR Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2018	J	`jnl`	Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng
2018	J	`jnl`	Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang
2017	J	`jnl`	A General Model for Robust Tensor Factorization with Unknown Noise. CoRR Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang
2017	A*	`conf`	A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors. CVPR Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
2017	J	`jnl`	Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. IEEE Geosci. Remote. Sens. Lett. Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, Deyu Meng, Yee Leung
2017	J	`jnl`	Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition. CoRR Yao Wang, Jiangjun Peng, Qian Zhao, Deyu Meng, Yee Leung, Xi-Le Zhao
2017	J	`jnl`	Hyperspectral Image Super-Resolution via Nonlocal Low-Rank Tensor Approximation and Total Variation Regularization. Remote. Sens. Yao Wang, Xiai Chen, Zhi Han, Shiying He
2017	J	`jnl`	SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. CoRR Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu
2017	J	`jnl`	Shrinkage Degree in L IEEE Trans. Neural Networks Learn. Syst. Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
2017	A*	`conf`	Tensor RPCA by Bayesian CP Factorization with Complex Noise. ICCV Qiong Luo, Zhi Han, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang
2016	J	`jnl`	Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Process. Shiying He, Yao Wang, Jianjun Wang, Zongben Xu
2016	J	`jnl`	Divide and Conquer Local Average Regression. CoRR Xiangyu Chang, Shaobo Lin, Yao Wang
2016	J	`jnl`	Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment. Sci. China Inf. Sci. Xiai Chen, Zhi Han, Yao Wang, Yandong Tang, Haibin Yu
2016	J	`jnl`	Profit-aware Team Grouping in Social Networks: A Generalized Cover Decomposition Approach. CoRR Shaojie Tang, Jing Yuan, Tao Li, Yao Wang
2016	A*	`conf`	Robust Tensor Factorization with Unknown Noise. CVPR Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang
2016	C	`conf`	Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. IGARSS Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han
2016	J	`jnl`	Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. CoRR Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han
2016	J	`jnl`	Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu
2015	A*	`conf`	A Novel Sparsity Measure for Tensor Recovery. ICCV Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu
2015	J	`jnl`	A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu
2015	C	`conf`	Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang
2015	J	`jnl`	Folded-concave penalization approaches to tensor completion. Neurocomputing Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu
2015	A*	`conf`	Low-Rank Matrix Factorization under General Mixture Noise Distributions. ICCV Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu
2015	J	`jnl`	Re-scale boosting for regression and classification. CoRR Shaobo Lin, Yao Wang, Lin Xu
2015	J	`jnl`	Shrinkage degree in L CoRR Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu
2014	J	`jnl`	L IEEE Trans. Signal Process. Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2014	J	`jnl`	Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. Yao Wang, Jianjun Wang, Zongben Xu
2013	J	`jnl`	L CoRR Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu
2013	J	`jnl`	On recovery of block-sparse signals via mixed l EURASIP J. Adv. Signal Process. Yao Wang, Jianjun Wang, Zongben Xu