We stand with Ukraine  

Haibo Li

Orcid: 0000-0003-0437-7617

Affiliations:
  • Huawei Technologies, Computing System Optimization Lab, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
  • University of Melbourne, School of Mathematics and Statistics, Parkville, VIC, Australia
  • Tsinghua University, Department of Mathematical Sciences, Beijing, China


According to our database1, Haibo Li authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Generalizing the SVD of a matrix under nonstandard inner product and its applications to linear ill-posed problems.
[BibTeX]
[DOI]
Hai-Bo Li
Appl. Math. Comput., 2026

2025
A New Interpretation of the Weighted Pseudoinverse and Its Applications.
[BibTeX]
[DOI]
Haibo Li
SIAM J. Matrix Anal. Appl., 2025

Characterizing GSVD by Singular Value Expansion of Linear Operators and Its Computation.
[BibTeX]
[DOI]
Haibo Li
SIAM J. Matrix Anal. Appl., 2025

Projected Newton Method for Large-Scale Bayesian Linear Inverse Problems.
[BibTeX]
[DOI]
Haibo Li
SIAM J. Optim., 2025

Backward error analysis of the Lanczos bidiagonalization with reorthogonalization.
[BibTeX]
[DOI]
Haibo Li
,
Guangming Tan
,
Tong Zhao
J. Comput. Appl. Math., 2025

2024
The Joint Bidiagonalization of a Matrix Pair with Inaccurate Inner Iterations.
[BibTeX]
[DOI]
Haibo Li
SIAM J. Matrix Anal. Appl., March, 2024

Double Precision is not Necessary for LSQR for Solving Discrete Linear Ill-Posed Problems.
[BibTeX]
[DOI]
Haibo Li
J. Sci. Comput., March, 2024

10-Million Atoms Simulation of First-Principle Package LS3DF.
[BibTeX]
[DOI]
Yujin Yan
,
Hai-Bo Li
,
Tong Zhao
,
Lin-Wang Wang
,
Lin Shi
,
Tao Liu
,
Guangming Tan
,
Weile Jia
,
Ninghui Sun
J. Comput. Sci. Technol., March, 2024

A Preconditioned Krylov Subspace Method for Linear Inverse Problems with General-Form Tikhonov Regularization.
[BibTeX]
[DOI]
Haibo Li
SIAM J. Sci. Comput., 2024

2023
The Joint Bidiagonalization Method for Large GSVD Computations in Finite Precision.
[BibTeX]
[DOI]
Zhongxiao Jia
,
Haibo Li
SIAM J. Matrix Anal. Appl., March, 2023

2022
Double precision is not necessary for LSQR for solving discrete linear ill-posed problems.
[BibTeX]
[DOI]
Haibo Li
,
Guangming Tan
,
Tong Zhao
CoRR, 2022

2021
The joint bidiagonalization process with partial reorthogonalization.
[BibTeX]
[DOI]
Zhongxiao Jia
,
Haibo Li
Numer. Algorithms, 2021


  Loading...