Weidong Liu

29 papers A* 2A 1Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast Decentralized Median Value Estimation.
IEEE Trans. Netw.
Weidong Liu, Xiaojun Mao
2025 J jnl
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration.
CoRR
Yuchen Hu, Xi Chen, Weidong Liu, Xiaojun Mao
2025 J jnl
A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Weidong Liu, Jiahua Ma, Xiaojun Mao, Kejie Tang
2025 J jnl
Robust Variational Bayes by Min-Max Median Aggregation.
CoRR
Jiawei Yan, Ju Liu, Weidong Liu, Jiyuan Tu
2024 J jnl
Distributed Estimation on Semi-Supervised Generalized Linear Model.
J. Mach. Learn. Res.
Jiyuan Tu, Weidong Liu, Xiaojun Mao
2024 J jnl
Distributed Semi-Supervised Sparse Statistical Inference.
IEEE Trans. Inf. Theory
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
2024 J jnl
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024 J jnl
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy.
CoRR
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024 J jnl
Efficient and provable online reduced rank regression via online gradient descent.
Mach. Learn.
Xiao Liu, Weidong Liu, Xiaojun Mao
2024 J jnl
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning.
Mach. Learn.
Kejie Tang, Weidong Liu, Xiaojun Mao
2024 A* conf
ST$_k$: A Scalable Module for Solving Top-k Problems.
NeurIPS
Hanchen Xia, Weidong Liu, Xiaojun Mao
2023 J jnl
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality.
CoRR
Kejie Tang, Weidong Liu, Yichen Zhang
2023 J jnl
Byzantine-robust distributed sparse learning for M-estimation.
Mach. Learn.
Jiyuan Tu, Weidong Liu, Xiaojun Mao
2023 J jnl
Distributed Semi-Supervised Sparse Statistical Inference.
CoRR
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
2023 J jnl
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning.
CoRR
Weidong Liu, Jiyuan Tu, Yichen Zhang, Xi Chen
2022 A conf
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis.
UAI
Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong
2022 J jnl
DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI.
IEEE J. Sel. Top. Signal Process.
Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu
2022 J jnl
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach.
IEEE Trans. Signal Process.
Weidong Liu, Xiaojun Mao, Xin Zhang
2022 J jnl
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach.
CoRR
Weidong Liu, Xiaojun Mao, Xin Zhang
2022 J jnl
Majority Vote for Distributed Differentially Private Sign Selection.
CoRR
Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
2021 J jnl
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference.
CoRR
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
2021 J jnl
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference.
J. Mach. Learn. Res.
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
2020 J jnl
Distributed High-dimensional Regression Under a Quantile Loss Function.
J. Mach. Learn. Res.
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
2020 A* conf
Median Matrix Completion: from Embarrassment to Optimality.
ICML
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2020 J jnl
Median Matrix Completion: from Embarrassment to Optimality.
CoRR
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2019 J jnl
Distributed High-dimensional Regression Under a Quantile Loss Function.
CoRR
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
2015 J jnl
Fast and adaptive sparse precision matrix estimation in high dimensions.
J. Multivar. Anal.
Weidong Liu, Xi Luo
2008 J jnl
Precise asymptotics for the first moment of the error variance estimator in linear models.
Appl. Math. Lett.
Ke-Ang Fu, Weidong Liu, Li-Xin Zhang
2008 J jnl
Precise asymptotics in the law of logarithm under dependence assumptions.
Comput. Math. Appl.
Xiao-Rong Yang, Weidong Liu, Li-Xin Zhang