Zhaosong Lu

Zhaosong Lu

University of Minnesota-Twin Cities

H-index: 32

North America-United States

About Zhaosong Lu

Zhaosong Lu, With an exceptional h-index of 32 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities, specializes in the field of continuous optimization, machine learning, computational statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exactly Uncorrelated Sparse Principal Component Analysis

A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition.

Primal-dual extrapolation methods for monotone inclusions under local Lipschitz continuity

Generalized-smooth nonconvex optimization is as efficient as smooth nonconvex optimization

A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization

Iteration-complexity of first-order augmented Lagrangian methods for convex conic programming

Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient

Zhaosong Lu Information

University

Position

___

Citations(all)

4074

Citations(since 2020)

1898

Cited By

3103

hIndex(all)

32

hIndex(since 2020)

25

i10Index(all)

53

i10Index(since 2020)

43

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Zhaosong Lu Skills & Research Interests

continuous optimization

machine learning

computational statistics

Top articles of Zhaosong Lu

Title

Journal

Author(s)

Publication Date

Exactly Uncorrelated Sparse Principal Component Analysis

Journal of Computational and Graphical Statistics

Oh-Ran Kwon

Zhaosong Lu

Hui Zou

2024/1/2

A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition.

J. Mach. Learn. Res.

Masaru Ito

Zhaosong Lu

Chuan He

2023

Primal-dual extrapolation methods for monotone inclusions under local Lipschitz continuity

Zhaosong Lu

Sanyou Mei

2023/2/3

Generalized-smooth nonconvex optimization is as efficient as smooth nonconvex optimization

Ziyi Chen

Yi Zhou

Yingbin Liang

Zhaosong Lu

2023/7/3

A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees

SIAM Journal on Optimization

Chuan He

Zhaosong Lu

Ting Kei Pong

2023/9/30

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization

arXiv preprint arXiv:2301.04204

Chuan He

Heng Huang

Zhaosong Lu

2023/1/10

Iteration-complexity of first-order augmented Lagrangian methods for convex conic programming

Mathematical Programming

Guanghui Lan

Renato DC Monteiro

2016/1

Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient

SIAM Journal on Optimization

Zhaosong Lu

Sanyou Mei

2023/9/30

FastPicker: Adaptive independent two-stage video-to-video summarization for efficient action recognition

Neurocomputing

Saghir Alfasly

Jian Lu

Chen Xu

Zaid Al-Huda

Qingtang Jiang

...

2023/1/7

A Newton-CG based barrier method for finding a second-order stationary point of nonconvex conic optimization with complexity guarantees

SIAM Journal on Optimization

Chuan He

Zhaosong Lu

2023/6/30

A NONLOCAL KRONECKER-BASIS-REPRESENTATION METHOD FOR LOW-DOSE CT SINOGRAM RECOVERY

JOURNAL OF COMPUTATIONAL MATHEMATICS

Jian Lu

Huaxuan Hu

Yuru Zou

Zhaosong Lu

Xiaoxia Liu

...

2023/9/6

A first-order augmented Lagrangian method for constrained minimax optimization

arXiv preprint arXiv:2301.02060

Zhaosong Lu

Sanyou Mei

2023/1/5

A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising

Inverse Problems

Zhihui Tu

Jian Lu

Hong Zhu

Huan Pan

Wenyu Hu

...

2023/4/21

A first-order method for nonconvex-strongly-concave constrained minimax optimization

Zhaosong Lu

Sanyou Mei

2023/7/12

Newton-CG methods for nonconvex unconstrained optimization with H\" older continuous Hessian

arXiv preprint arXiv:2311.13094

Chuan He

Zhaosong Lu

2023/11/22

First-order penalty methods for bilevel optimization

arXiv preprint arXiv:2301.01716

Zhaosong Lu

Sanyou Mei

2023/1/4

Exact penalization for cardinality and rank-constrained optimization problems via partial regularization

Optimization Methods and Software

Zhaosong Lu

Xiaorui Li

Shuhuang Xiang

2023/3/4

Solving bilevel optimization via sequential minimax optimization

Preprint

Zhaosong Lu

Sanyou Mei

2023/7/4

Sequential minimax optimization methods for bilevel optimization with strongly convex lower-level objective function

Zhaosong Lu

Sanyou Mei

Jin Zhang

2023/11/16

Penalty and augmented Lagrangian methods for constrained DC programming

Mathematics of Operations Research

Zhaosong Lu

Zhe Sun

Zirui Zhou

2022/8

See List of Professors in Zhaosong Lu University(University of Minnesota-Twin Cities)