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ORCIDWeidong Liu 0005
Person information
- affiliation: Shanghai Jiao Tong University, Department of Mathematics / Institute of Natural Sciences, China
- affiliation (former): Zhejiang University, Department of Mathematics, Hangzhou, China
Other persons with the same name
- Weidong Liu — disambiguation page
- Weidong Liu 0001 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Weidong Liu 0002 — Synopsys (and 1 more)
- Weidong Liu 0003
![[0000-0002-2112-3734]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2112-3734")
— China University of Mining & Technology, School of Information and Control Engineering, Xuzhou, China - Weidong Liu 0004 — Beijing University of Posts and Telecommunications
- Weidong Liu 0006 — Hisense Co. Ltd., State Key Laboratory of Digital Multimedia Technology, Qingdao, China
- Weidong Liu 0007 — Nanchang University, School of Mechatronics Engineering, China (and 2 more)
- Weidong Liu 0008 — Shanghai University, School of Computer Engineering and Science, China
- Weidong Liu 0009 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Weidong Liu 0010 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
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2020 – today
- 2024
[j12]Jiyuan Tu, Weidong Liu, Xiaojun Mao:
Distributed Estimation on Semi-Supervised Generalized Linear Model. J. Mach. Learn. Res. 25: 76:1-76:41 (2024)- [j11]Kejie Tang, Weidong Liu, Xiaojun Mao:
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. Mach. Learn. 113(7): 4315-4357 (2024) - [j10]Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang:
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19: 2328-2339 (2024) - [j9]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu:
Distributed Semi-Supervised Sparse Statistical Inference. IEEE Trans. Inf. Theory 70(6): 4197-4217 (2024) - [i8]Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang:
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR abs/2401.01294 (2024) - 2023
- [j8]Jiyuan Tu, Weidong Liu, Xiaojun Mao:
Byzantine-robust distributed sparse learning for M-estimation. Mach. Learn. 112(10): 3773-3804 (2023) - [i7]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu:
Distributed Semi-Supervised Sparse Statistical Inference. CoRR abs/2306.10395 (2023) - [i6]Weidong Liu, Jiyuan Tu, Yichen Zhang, Xi Chen:
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning. CoRR abs/2310.02581 (2023) - 2022
- [j7]Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu:
DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. IEEE J. Sel. Top. Signal Process. 16(4): 725-736 (2022) - [j6]Weidong Liu, Xiaojun Mao, Xin Zhang:
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. 70: 797-809 (2022) - [c2]Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong:
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI 2022: 129-138 - [i5]Weidong Liu, Xiaojun Mao, Xin Zhang:
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR abs/2202.05498 (2022) - [i4]Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen:
Majority Vote for Distributed Differentially Private Sign Selection. CoRR abs/2209.04419 (2022) - 2021
- [j5]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen:
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J. Mach. Learn. Res. 22: 84:1-84:67 (2021) - [i3]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen:
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. CoRR abs/2103.02860 (2021) - 2020
- [j4]Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang:
Distributed High-dimensional Regression Under a Quantile Loss Function. J. Mach. Learn. Res. 21: 182:1-182:43 (2020) - [c1]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. ICML 2020: 6294-6304 - [i2]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. CoRR abs/2006.10400 (2020)
2010 – 2019
- 2019
- [i1]Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang:
Distributed High-dimensional Regression Under a Quantile Loss Function. CoRR abs/1906.05741 (2019) - 2015
- [j3]Weidong Liu, Xi Luo:
Fast and adaptive sparse precision matrix estimation in high dimensions. J. Multivar. Anal. 135: 153-162 (2015)
2000 – 2009
- 2008
- [j2]Ke-Ang Fu, Weidong Liu, Li-Xin Zhang:
Precise asymptotics for the first moment of the error variance estimator in linear models. Appl. Math. Lett. 21(6): 641-647 (2008) - [j1]Xiao-Rong Yang, Weidong Liu, Li-Xin Zhang:
Precise asymptotics in the law of logarithm under dependence assumptions. Comput. Math. Appl. 56(6): 1634-1642 (2008)
Coauthor Index
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