Weidong Liu

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 16

Top Topics

Sparse Learning

Discriminant Analysis

Differentially Private

High Dimensional

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

IEEE J. Sel. Top. Signal Process.

Publications

Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
Distributed Semi-Supervised Sparse Statistical Inference. IEEE Trans. Inf. Theory 70 (6) (2024)
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR (2024)
Jiyuan Tu, Weidong Liu, Xiaojun Mao
Byzantine-robust distributed sparse learning for M-estimation. Mach. Learn. 112 (10) (2023)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
Distributed Semi-Supervised Sparse Statistical Inference. CoRR (2023)
Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
Majority Vote for Distributed Differentially Private Sign Selection. CoRR (2022)
Weidong Liu, Xiaojun Mao, Xin Zhang
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR (2022)
Weidong Liu, Xiaojun Mao, Xin Zhang
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. 70 (2022)
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) (2022)
Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI (2022)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J. Mach. Learn. Res. 22 (2021)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. CoRR (2021)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. ICML (2020)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. CoRR (2020)
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
Distributed High-dimensional Regression Under a Quantile Loss Function. J. Mach. Learn. Res. 21 (2020)
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
Distributed High-dimensional Regression Under a Quantile Loss Function. CoRR (2019)
Weidong Liu, Xi Luo
Fast and adaptive sparse precision matrix estimation in high dimensions. J. Multivar. Anal. 135 (2015)
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) (2008)
Xiao-Rong Yang, Weidong Liu, Li-Xin Zhang
Precise asymptotics in the law of logarithm under dependence assumptions. Comput. Math. Appl. 56 (6) (2008)