Precise asymptotics for the first moment of the error variance estimator in linear models. - Ke-Ang Fu; Weidong Liu 005; Li-Xin Zhang 001 (Appl. Math. Lett., 2008)

Precise asymptotics in the law of logarithm under dependence assumptions. - Xiao-Rong Yang; Weidong Liu 005; Li-Xin Zhang 001 (Comput. Math. Appl., 2008)

Fast and adaptive sparse precision matrix estimation in high dimensions. - Weidong Liu 005; Xi Luo (J. Multivar. Anal., 2015)

Median Matrix Completion: from Embarrassment to Optimality. - Weidong Liu 005; Xiaojun Mao; Raymond K. W. Wong (ICML, 2020)

Distributed High-dimensional Regression Under a Quantile Loss Function. - Xi Chen; Weidong Liu 005; Xiaojun Mao; Zhuoyi Yang (J. Mach. Learn. Res., 2020)

Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao; Xi Chen (J. Mach. Learn. Res., 2021)

Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. - Yajie Bao; Weidong Liu 005; Xiaojun Mao; Weijia Xiong (UAI, 2022)

Majority Vote for Distributed Differentially Private Sign Selection. - Weidong Liu 005; Jiyuan Tu; Xiaojun Mao; Xi Chen (CoRR, 2022)

DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. - Yilang Zhang; Xiaojun Mao; Jian Wang 016; Weidong Liu 005 (IEEE J. Sel. Top. Signal Process., 2022)

Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. - Weidong Liu 005; Xiaojun Mao; Xin Zhang 054 (IEEE Trans. Signal Process., 2022)

Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality. - Kejie Tang; Weidong Liu 005; Yichen Zhang (CoRR, 2023)

Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning. - Weidong Liu 005; Jiyuan Tu; Yichen Zhang; Xi Chen (CoRR, 2023)

Byzantine-robust distributed sparse learning for M-estimation. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2023)

ST$_k$: A Scalable Module for Solving Top-k Problems. - Hanchen Xia; Weidong Liu 005; Xiaojun Mao (NeurIPS, 2024)

Distributed Estimation on Semi-Supervised Generalized Linear Model. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao (J. Mach. Learn. Res., 2024)

Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. - Weidong Liu 005; Xiaojun Mao; Xiaofei Zhang; Xin Zhang 054 (IEEE Trans. Inf. Forensics Secur., 2024)

Distributed Semi-Supervised Sparse Statistical Inference. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao; Mingyue Xu (IEEE Trans. Inf. Theory, 2024)

Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. - Kejie Tang; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2024)

Efficient and provable online reduced rank regression via online gradient descent. - Xiao Liu; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2024)

A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration. - Yuchen Hu; Xi Chen; Weidong Liu 005; Xiaojun Mao (CoRR, 2025)

A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm. - Weidong Liu 005; Jiahua Ma; Xiaojun Mao; Kejie Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)