Lek-Heng Lim

Lek-Heng Lim

University of Chicago

H-index: 29

North America-United States

About Lek-Heng Lim

Lek-Heng Lim, With an exceptional h-index of 29 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of applied algebraic geometry, applied topology, manifold optimization, multilinear algebra.

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

LU decomposition and Toeplitz decomposition of a neural network

Convex Relaxation for Fokker-Planck

Complex matrix inversion via real matrix inversions

Discovering Latent Macroeconomic Effects in Peer-to-Peer Lending Data

Generalized matrix nearness problems

Numerical stability and tensor nuclear norm

Learning Subspaces of Different Dimensions

Stochastic steffensen method

Lek-Heng Lim Information

University

Position

___

Citations(all)

7826

Citations(since 2020)

4189

Cited By

5415

hIndex(all)

29

hIndex(since 2020)

26

i10Index(all)

53

i10Index(since 2020)

43

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Lek-Heng Lim Skills & Research Interests

applied algebraic geometry

applied topology

manifold optimization

multilinear algebra

Top articles of Lek-Heng Lim

Title

Journal

Author(s)

Publication Date

LU decomposition and Toeplitz decomposition of a neural network

Applied and Computational Harmonic Analysis

Yucong Liu

Simiao Jiao

Lek-Heng Lim

2024/1/1

Convex Relaxation for Fokker-Planck

arXiv preprint arXiv:2306.03292

Yian Chen

Yuehaw Khoo

Lek-Heng Lim

2023/6/5

Complex matrix inversion via real matrix inversions

arXiv preprint arXiv:2208.01239

ZHEN Dai

LH Lim

K Ye

2023

Discovering Latent Macroeconomic Effects in Peer-to-Peer Lending Data

The Journal of FinTech

Jessica Foo

Lek-Heng Lim

Ken Sze-Wai Wong

2023/9/15

Generalized matrix nearness problems

SIAM Journal on Matrix Analysis and Applications

Zihao Li

Lek-Heng Lim

2023/12/31

Numerical stability and tensor nuclear norm

Numerische Mathematik

Zhen Dai

Lek-Heng Lim

2023/12

Learning Subspaces of Different Dimensions

Journal of Computational and Graphical Statistics

Brian St Thomas

Kisung You

Lizhen Lin

Lek-Heng Lim

Sayan Mukherjee

2022/4/3

Stochastic steffensen method

arXiv preprint arXiv:2211.15310

Minda Zhao

Zehua Lai

Lek-Heng Lim

2022/11/28

Distances between probability distributions of different dimensions

IEEE Transactions on Information Theory

Yuhang Cai

Lek-Heng Lim

2022/2/2

Inverting a complex matrix

arXiv preprint arXiv:2208.01239

Zhen Dai

Lek-Heng Lim

Ke Ye

2022/8/2

Best k-layer neural network approximations

Constructive Approximation

Lek-Heng Lim

Mateusz Michałek

Yang Qi

2022/2

Rank-constrained Hyperbolic Programming

arXiv preprint arXiv:2207.11299

Zhen Dai

Lek-Heng Lim

2022/7/22

Optimization on flag manifolds

Mathematical Programming

Ke Ye

Ken Sze-Wai Wong

Lek-Heng Lim

2022/7

Polynomial and Tensor Optimization

Mathematical Programming

Shmuel Friedland

Jean-Bernard Lasserre

Lek-Heng Lim

Jiawang Nie

2022/6

Haagerup bound for quaternionic Grothendieck inequality

arXiv preprint arXiv:2212.00208

Shmuel Friedland

Zehua Lai

Lek-Heng Lim

2022/12/1

What is an equivariant neural network

arXiv preprint arXiv:2205.07362

Lek-Heng Lim

Bradley J Nelson

2022/5/15

Simpler flag optimization

arXiv preprint arXiv:2212.00212

Zehua Lai

Lek-Heng Lim

Ke Ye

2022/12/1

The Grassmannian of affine subspaces

Foundations of Computational Mathematics

Lek-Heng Lim

Ken Sze-Wai Wong

Ke Ye

2021

Fiber product homotopy method for multiparameter eigenvalue problems

Numerische Mathematik

Jose Israel Rodriguez

Jin-Hong Du

Yiling You

Lek-Heng Lim

2021/8

Topology of deep neural networks

Journal of Machine Learning Research

Gregory Naitzat

Andrey Zhitnikov

Lek-Heng Lim

2020

See List of Professors in Lek-Heng Lim University(University of Chicago)