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ORCIDYao Wang 0003
Person information
- affiliation (PhD 2014): Xi'an Jiaotong University, School of Mathematics and Statistics, China
Other persons with the same name
- Yao Wang — disambiguation page
- Yao Wang 0001
![[0000-0003-3199-3802]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3199-3802")
— New York University, Polytechnic School of Engineering, Brooklyn, NY, USA (and 1 more) - Yao Wang 0002 — National University of Defense Technology, Changsha, China (and 1 more)
- Yao Wang 0004 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Yao Wang 0005 — Xidian University, School of Cyber Engineering, Xi'an, China (and 1 more)
- Yao Wang 0006 — Harbin Institute of Technology, Microelectronics Center, China
- Yao Wang 0007 — Shanghai Jiaotong University, Shanghai, China
- Yao Wang 0008 — Cornell University, Ithaca, NY, USA
- Yao Wang 0009 — University of Saskatchewan, Canada
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2020 – today
- 2025
[j49]Chenhao Wang, Yao Wang, Shaojie Tang:
Advertising meets assortment planning: joint advertising and assortment optimization under multinomial logit model. J. Comb. Optim. 49(2): 25 (2025)- [j48]Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang:
Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. Signal Process. 227: 109706 (2025) - [j47]Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou:
Generalization Performance of Empirical Risk Minimization on Over-Parameterized Deep ReLU Nets. IEEE Trans. Inf. Theory 71(3): 1978-1993 (2025) - [i32]Zhiyu Liu, Zhi Han, Yandong Tang, Hai Zhang, Shaojie Tang, Yao Wang:
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent. CoRR abs/2502.00463 (2025) - 2024
- [j46]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: 93-102 (2024) - [j45]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): 3633-3646 (2024) - [j44]Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang:
Effective Generalized Low-Rank Tensor Contextual Bandits. IEEE Trans. Knowl. Data Eng. 36(12): 8051-8065 (2024) - [j43]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: 7130-7145 (2024) - [j42]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): 1113-1126 (2024) - [j41]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): 9428-9442 (2024) - [j40]Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang:
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent. IEEE Trans. Signal Process. 72: 5470-5483 (2024) - [i31]Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang:
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent. CoRR abs/2401.11940 (2024) - [i30]Yishan Han, Biao Xu, Yao Wang, Shanxing Gao:
Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint. CoRR abs/2412.19172 (2024) - 2023
- [j39]Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang:
Efficient fraud detection using deep boosting decision trees. Decis. Support Syst. 175: 114037 (2023) - [j38]Jiangjun Peng, Yao Wang, Hong-Ying 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): 5766-5781 (2023) - [j37]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): 3713-3725 (2023) - [j36]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: 1-18 (2023) - [j35]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: 4581-4594 (2023) - [j34]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): 10668-10682 (2023) - [c16]Chenhao Wang, Yao Wang, Shaojie Tang:
When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model. COCOA (2) 2023: 16-42 - [c15]Pengyu Zuo, Yao Wang, Shaojie Tang:
Regularized online DR-submodular optimization. UAI 2023: 2608-2617 - [i29]Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang:
Efficient Fraud Detection using Deep Boosting Decision Trees. CoRR abs/2302.05918 (2023) - [i28]Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin:
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. CoRR abs/2302.10434 (2023) - [i27]Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng:
Provable Tensor Completion with Graph Information. CoRR abs/2310.02543 (2023) - [i26]Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou:
Lifting the Veil: Unlocking the Power of Depth in Q-learning. CoRR abs/2310.17915 (2023) - [i25]Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang:
Efficient Generalized Low-Rank Tensor Contextual Bandits. CoRR abs/2311.01771 (2023) - 2022
- [j33]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): 3096-3116 (2022) - [j32]Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin:
Nystrom Regularization for Time Series Forecasting. J. Mach. Learn. Res. 23: 312:1-312:42 (2022) - [j31]Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen:
Assortment optimization with repeated exposures and product-dependent patience cost. Oper. Res. Lett. 50(1): 8-15 (2022) - [j30]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): 4355-4373 (2022) - [j29]Yao Wang, Yishan Han, Kaidong Wang, Xi-Le Zhao:
Total variation regularized nonlocal low-rank tensor train for spectral compressive imaging. Signal Process. 195: 108464 (2022) - [j28]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): 7286-7300 (2022) - [j27]Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou:
Universal Consistency of Deep Convolutional Neural Networks. IEEE Trans. Inf. Theory 68(7): 4610-4617 (2022) - [c14]Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao:
Fast and Provable Nonconvex Tensor RPCA. ICML 2022: 18211-18249 - [i24]Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng:
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. CoRR abs/2201.12592 (2022) - 2021
- [j26]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): 1556-1570 (2021) - [c13]Haiquan Qiu, Yao Wang, Deyu Meng:
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. CVPR 2021: 9127-9136 - [c12]Yaxi Yang, Hailin Wang, Haiquan Qiu, Jianjun Wang, Yao Wang:
Non-Convex Sparse Deviation Modeling Via Generative Models. ICASSP 2021: 2345-2349 - [i23]Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou:
Universal Consistency of Deep Convolutional Neural Networks. CoRR abs/2106.12498 (2021) - [i22]Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang:
Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions. CoRR abs/2108.10129 (2021) - [i21]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. CoRR abs/2109.05736 (2021) - [i20]Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang:
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration. CoRR abs/2109.11703 (2021) - [i19]Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin:
Nyström Regularization for Time Series Forecasting. CoRR abs/2111.07109 (2021) - [i18]Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou:
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets. CoRR abs/2111.14039 (2021) - 2020
- [j25]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): 963-985 (2020) - [j24]Yinghua Fu, Yao Wang, Yin Zhong, Dongxiang Fu, Qing Peng:
Change detection based on tensor RPCA for longitudinal retinal fundus images. Neurocomputing 387: 1-12 (2020) - [j23]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: 137-149 (2020) - [j22]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: 112767 (2020) - [j21]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): 7654-7671 (2020) - [j20]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: 7889-7903 (2020) - [c11]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: 3167-3171 - [c10]Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang:
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. ICASSP 2020: 3297-3301 - [c9]Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang:
Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. ICASSP 2020: 3302-3306 - [i17]Yao Wang, Xin Guo, Shao-Bo Lin:
Kernel-based L_2-Boosting with Structure Constraints. CoRR abs/2009.07558 (2020)
2010 – 2019
- 2019
- [j19]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): 1729-1736 (2019) - [j18]Xiao Guo, Hai Zhang, Yao Wang, Yong Liang:
Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. 34(2): 713-742 (2019) - [j17]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): 2089-2102 (2019) - [j16]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): 474-485 (2019) - [j15]Yao Wang, Xu Liao, Shaobo Lin:
Rescaled Boosting in Classification. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2598-2610 (2019) - [c8]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. ICML 2019: 2093-2101 - [i16]Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang:
Deep Generative Learning via Variational Gradient Flow. CoRR abs/1901.08469 (2019) - [i15]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 abs/1905.04449 (2019) - [i14]Feng Zhang, Wendong Wang, Jianwen Huang, Yao Wang, Jianjun Wang:
RIP-based performance guarantee for low-tubal-rank tensor recovery. CoRR abs/1906.01774 (2019) - [i13]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 abs/1910.05485 (2019) - 2018
- [j14]Feng Zhang, Jianjun Wang, Yao Wang, Jianwen Huang, Wendong Wang:
Perturbations of Compressed Data Separation With Redundant Tight Frames. IEEE Access 6: 35844-35856 (2018) - [j13]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): 1227-1243 (2018) - [j12]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): 5380-5393 (2018) - [i12]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 abs/1803.07487 (2018) - [i11]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 abs/1809.06591 (2018) - 2017
- [j11]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): 2457-2461 (2017) - [j10]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): 1286 (2017) - [j9]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage Degree in L2-Rescale Boosting for Regression. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1851-1864 (2017) - [c7]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: 2818-2827 - [c6]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: 5029-5038 - [i10]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 abs/1705.06755 (2017) - [i9]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. CoRR abs/1706.06341 (2017) - [i8]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 abs/1707.02477 (2017) - 2016
- [j8]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): 052107:1-052107:13 (2016) - [j7]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): 717-723 (2016) - [j6]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): 4075-4090 (2016) - [c5]Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang:
Robust Tensor Factorization with Unknown Noise. CVPR 2016: 5213-5221 - [c4]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: 6962-6965 - [i7]Xiangyu Chang, Shaobo Lin, Yao Wang:
Divide and Conquer Local Average Regression. CoRR abs/1601.06239 (2016) - [i6]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 abs/1601.06243 (2016) - [i5]Shaojie Tang, Jing Yuan, Tao Li, Yao Wang:
Profit-aware Team Grouping in Social Networks: A Generalized Cover Decomposition Approach. CoRR abs/1605.03205 (2016) - 2015
- [j5]Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu:
Folded-concave penalization approaches to tensor completion. Neurocomputing 152: 261-273 (2015) - [c3]Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu:
A Novel Sparsity Measure for Tensor Recovery. ICCV 2015: 271-279 - [c2]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: 1493-1501 - [c1]Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang:
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA 2015: 7-12 - [i4]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 abs/1503.01868 (2015) - [i3]Shaobo Lin, Yao Wang, Lin Xu:
Re-scale boosting for regression and classification. CoRR abs/1505.01371 (2015) - [i2]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage degree in L2-re-scale boosting for regression. CoRR abs/1505.04369 (2015) - 2014
- [j4]Yao Wang, Jianjun Wang, Zongben Xu:
Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. 104: 188-196 (2014) - [j3]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. IEEE Trans. Signal Process. 62(9): 2317-2329 (2014) - 2013
- [j2]Yao Wang, Jianjun Wang, Zongben Xu:
On recovery of block-sparse signals via mixed l2/lq (0 < q ≤ 1) norm minimization. EURASIP J. Adv. Signal Process. 2013: 76 (2013) - [i1]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. CoRR abs/1311.0156 (2013) - 2010
- [j1]Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang:
L1/2 regularization. Sci. China Inf. Sci. 53(6): 1159-1169 (2010)
Coauthor Index
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