Qianxiao Li

Qianxiao Li

National University of Singapore

H-index: 24

Asia-Singapore

About Qianxiao Li

Qianxiao Li, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of applied mathematics, machine learning, scientific computing, control theory, materials science.

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

Constructing custom thermodynamics using deep learning

A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms

Optimization in Machine Learning: a Distribution-Space Approach

Mitigating distribution shift in machine learning-augmented hybrid simulation

Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films

Computing high-dimensional invariant distributions from noisy data

Approximation theory of transformer networks for sequence modeling

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

Qianxiao Li Information

University

Position

Assistant Professor Department of Mathematics

Citations(all)

2347

Citations(since 2020)

2226

Cited By

734

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

35

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Qianxiao Li Skills & Research Interests

applied mathematics

machine learning

scientific computing

control theory

materials science

Top articles of Qianxiao Li

Title

Journal

Author(s)

Publication Date

Constructing custom thermodynamics using deep learning

Nature Computational Science

Xiaoli Chen

Beatrice W Soh

Zi-En Ooi

Eleonore Vissol-Gaudin

Haijun Yu

...

2024/1

A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms

SIAM Journal on Scientific Computing

Danimir T Doncevic

Alexander Mitsos

Yue Guo

Qianxiao Li

Felix Dietrich

...

2024/4/30

Optimization in Machine Learning: a Distribution-Space Approach

Communications on Applied Mathematics and Computation

Yongqiang Cai

Qianxiao Li

Zuowei Shen

2024/3/1

Mitigating distribution shift in machine learning-augmented hybrid simulation

arXiv preprint arXiv:2401.09259

Jiaxi Zhao

Qianxiao Li

2024/1/17

Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films

Digital Discovery

Siyu Isaac Parker Tian

Zekun Ren

Selvaraj Venkataraj

Yuanhang Cheng

Daniil Bash

...

2024

Computing high-dimensional invariant distributions from noisy data

Journal of Computational Physics

Bo Lin

Qianxiao Li

Weiqing Ren

2023/2/1

Approximation theory of transformer networks for sequence modeling

arXiv preprint arXiv:2305.18475

Haotian Jiang

Qianxiao Li

2023/5/29

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

K Hippalgaonkar

A Low

F Mekki-Berrada

A Gupta

A Ostudin

...

2023/12/1

Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films

Digital Discovery

Siyu Isaac Parker Tian

Zekun Ren

Selvaraj Venkataraj

Yuanhang Cheng

Daniil Bash

...

2023

Fast Bayesian optimization of Needle-in-a-Haystack problems using zooming memory-based initialization (ZoMBI)

npj Computational Materials

Alexander E Siemenn

Zekun Ren

Qianxiao Li

Tonio Buonassisi

2023/5/26

Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks

Haotian Jiang

Qianxiao Li

2023/8/1

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

arXiv preprint arXiv:2311.14495

Shida Wang

Qianxiao Li

2023/11/24

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

Kedar Hippalgaonkar

Qianxiao Li

Xiaonan Wang

John W Fisher III

James Kirkpatrick

...

2023/4

Fairness In a Non-Stationary Environment From an Optimal Control Perspective

Zhuotong Chen

Qianxiao Li

Zheng Zhang

2023/7/9

Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective

arXiv preprint arXiv:2311.10223

Zhuotong Chen

Qianxiao Li

Zheng Zhang

2023/11/16

A Brief Survey on the Approximation Theory for Sequence Modelling

Haotian Jiang

Qianxiao Li

Zhong Li

Shida Wang

2023/2/27

Principled acceleration of iterative numerical methods using machine learning

Sohei Arisaka

Qianxiao Li

2023/7/3

Learning Parametric Koopman Decompositions for Prediction and Control

arXiv preprint arXiv:2310.01124

Yue Guo

Milan Korda

Ioannis G Kevrekidis

Qianxiao Li

2023/10/2

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks

arXiv preprint arXiv:2305.19190

Shida Wang

Zhong Li

Qianxiao Li

2023/5/30

On stability and regularization for data-driven solution of parabolic inverse source problems

Journal of Computational Physics

Mengmeng Zhang

Qianxiao Li

Jijun Liu

2023/2/1

See List of Professors in Qianxiao Li University(National University of Singapore)

Co-Authors

H-index: 86
Ioannis Kevrekidis

Ioannis Kevrekidis

Johns Hopkins University

H-index: 80
Bernard Chazelle

Bernard Chazelle

Princeton University

H-index: 78
Tonio Buonassisi

Tonio Buonassisi

Massachusetts Institute of Technology

H-index: 78
Weinan E

Weinan E

Princeton University

H-index: 66
Zuowei Shen

Zuowei Shen

National University of Singapore

H-index: 41
Kedar Hippalgaonkar

Kedar Hippalgaonkar

Nanyang Technological University

academic-engine