Jack Xin

Jack Xin

University of California, Irvine

H-index: 38

North America-United States

About Jack Xin

Jack Xin, With an exceptional h-index of 38 and a recent h-index of 26 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Applied and Computational Mathematics, Multi-Scale Problems, Data Analysis, and Applications.

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

Existence of an Effective Burning Velocity in a Cellular Flow for the Curvature G-Equation Proved Using a Game Analysis

A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller–Segel chemotaxis systems

Lagrangian, Game Theoretic and PDE Methods for Averaging G-equations in Turbulent Combustion: Existence and Beyond

An efficient smoothing and thresholding image segmentation framework with weighted anisotropic-isotropic total variation

Spectral measures and iterative bounds for effective diffusivity of steady and space-time periodic flows

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Recurrence of optimum for training weight and activation quantized networks

An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations

Jack Xin Information

University

Position

Chancellor's Professor of Mathematics

Citations(all)

5873

Citations(since 2020)

2660

Cited By

4350

hIndex(all)

38

hIndex(since 2020)

26

i10Index(all)

102

i10Index(since 2020)

50

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Jack Xin Skills & Research Interests

Applied and Computational Mathematics

Multi-Scale Problems

Data Analysis

and Applications

Top articles of Jack Xin

Title

Journal

Author(s)

Publication Date

Existence of an Effective Burning Velocity in a Cellular Flow for the Curvature G-Equation Proved Using a Game Analysis

The Journal of Geometric Analysis

Hongwei Gao

Ziang Long

Jack Xin

Yifeng Yu

2024/3

A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller–Segel chemotaxis systems

Physica D: Nonlinear Phenomena

Zhongjian Wang

Jack Xin

Zhiwen Zhang

2024/2/3

Lagrangian, Game Theoretic and PDE Methods for Averaging G-equations in Turbulent Combustion: Existence and Beyond

arXiv preprint arXiv:2401.14575

Jack Xin

Yifeng Yu

Paul Ronney

2024/1/26

An efficient smoothing and thresholding image segmentation framework with weighted anisotropic-isotropic total variation

arXiv e-prints

Kevin Bui

Yifei Lou

Fredrick Park

Jack Xin

2022/2

Spectral measures and iterative bounds for effective diffusivity of steady and space-time periodic flows

arXiv preprint arXiv:2404.18754

NB Murphy

D Hallman

E Cherkaev

J Xin

KM Golden

2024/4/29

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

arXiv preprint arXiv:2403.07134

Aozhong Zhang

Zi Yang

Naigang Wang

Yingyong Qin

Jack Xin

...

2024/3/11

Recurrence of optimum for training weight and activation quantized networks

Applied and Computational Harmonic Analysis

Ziang Long

Penghang Yin

Jack Xin

2023/1/1

An Augmented Subspace Based Adaptive Proper Orthogonal Decomposition Method for Time Dependent Partial Differential Equations

arXiv preprint arXiv:2304.09007

Xiaoying Dai

Miao Hu

Jack Xin

Aihui Zhou

2023/4/18

Convergence of Hyperbolic Neural Networks Under Riemannian Stochastic Gradient Descent

Communications on Applied Mathematics and Computation

Wes Whiting

Bao Wang

Jack Xin

2023/10/5

Bifurcation of homogenization and nonhomogenization of the curvature G-equation with shear flows

arXiv preprint arXiv:2303.16304

Hiroyoshi Mitake

Connor Mooney

Hung V Tran

Jack Xin

Yifeng Yu

2023/3/28

A Novel Stochastic Interacting Particle-Field Algorithm for 3D Parabolic-Parabolic Keller-Segel Chemotaxis System

arXiv preprint arXiv:2309.13554

Zhongjian Wang

Jack Xin

Zhiwen Zhang

2023/9/24

Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise

Frontiers in Computer Science

Kevin Bui

Yifei Lou

Fredrick Park

Jack Xin

2023/6/28

A Proximal Algorithm for Network Slimming

arXiv preprint arXiv:2307.00684

Kevin Bui

Fanghui Xue

Fredrick Park

Yingyong Qi

Jack Xin

2023/7/2

Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data

IEEE Access

Zhijian Li

Biao Yang

Penghang Yin

Yingyong Qi

Jack Xin

2023

A convergent interacting particle method for computing KPP front speeds in random flows

arXiv preprint arXiv:2308.14479

Tan Zhang

Zhongjian Wang

Jack Xin

Zhiwen Zhang

2023/8/28

Synchronized Front Propagation and Delayed Flame Quenching in Strain G-equation and Time-Periodic Cellular Flows

Minimax Theory and its Applications

Yu-Yu Liu

Jack Xin

2023

Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting

arXiv preprint arXiv:2307.00493

Nhat Thanh Tran

Jack Xin

2023/7/2

Weighted Anisotropic–Isotropic Total Variation for Poisson Denoising

Kevin Bui

Yifei Lou

Fredrick Park

Jack Xin

2023/10/8

An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics

Zhijian Li

Jack Xin

Guofa Zhou

2022

RARTS: an efficient first-order relaxed architecture search method

IEEE Access

Fanghui Xue

Yingyong Qi

Jack Xin

2022/6/21

See List of Professors in Jack Xin University(University of California, Irvine)

Co-Authors

H-index: 116
Guillermo Sapiro

Guillermo Sapiro

Duke University

H-index: 68
Fanghua Lin

Fanghua Lin

New York University

H-index: 64
Fan-Gang Zeng (曾凡钢)

Fan-Gang Zeng (曾凡钢)

University of California, Irvine

H-index: 52
Michael I Weinstein

Michael I Weinstein

Columbia University in the City of New York

H-index: 52
Gregory Eyink

Gregory Eyink

Johns Hopkins University

H-index: 27
Michael Moeller

Michael Moeller

Universität Siegen

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