Weidong Liu

Orcid: 0000-0002-5449-9180

Affiliations:
  • Shanghai Jiao Tong University, Department of Mathematics / Institute of Natural Sciences, China
  • Zhejiang University, Department of Mathematics, Hangzhou, China (former)


According to our database1, Weidong Liu authored at least 14 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2024

Efficient Sparse Least Absolute Deviation Regression with Differential Privacy.
CoRR, 2024

2023
Byzantine-robust distributed sparse learning for M-estimation.
Mach. Learn., October, 2023

Distributed Semi-Supervised Sparse Statistical Inference.
CoRR, 2023

2022
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach.
IEEE Trans. Signal Process., 2022

DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI.
IEEE J. Sel. Top. Signal Process., 2022

Majority Vote for Distributed Differentially Private Sign Selection.
CoRR, 2022

Byzantine-tolerant distributed multiclass sparse linear discriminant analysis.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference.
J. Mach. Learn. Res., 2021

2020
Distributed High-dimensional Regression Under a Quantile Loss Function.
J. Mach. Learn. Res., 2020

Median Matrix Completion: from Embarrassment to Optimality.
Proceedings of the 37th International Conference on Machine Learning, 2020

2015
Fast and adaptive sparse precision matrix estimation in high dimensions.
J. Multivar. Anal., 2015

2008
Precise asymptotics in the law of logarithm under dependence assumptions.
Comput. Math. Appl., 2008

Precise asymptotics for the first moment of the error variance estimator in linear models.
Appl. Math. Lett., 2008


  Loading...