Xinliang Liu
Scholar

Xinliang Liu

Google Scholar ID: 9AsSTc4AAAAJ
KAUST
Numerical homogenizationMultiscale modelingGraph neural networkAI for scientific computing
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Citations & Impact
All-time
Citations
201
 
H-index
7
 
i10-index
6
 
Publications
16
 
Co-authors
15
list available
Contact
Emailxinliang.liu@kaust.edu.sa
Publications
5 items
Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
2025
Cited
0
Self-Composing Neural Operators with Depth and Accuracy Scaling via Adaptive Train-and-Unroll Approach
2025
Cited
0
OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography
2025
Cited
0
Advanced long-term earth system forecasting by learning the small-scale nature
2025
Cited
0
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
International Conference on Learning Representations · 2022
Cited
37
Resume (English only)
Co-authors
15 total
Co-author 1
Co-author 1
Yu Guang Wang
Yu Guang Wang
Associate Professor, Shanghai Jiao Tong University, University of New South Wales
Jinchao Xu
Jinchao Xu
Professor of Applied Mathematics and Computational Sciences, KAUST
Juncai He
Juncai He
Assistant Professor, Yau Mathematical Sciences Center, Tsinghua University
Shuhao Cao
Shuhao Cao
University of Missouri–Kansas City
Shi Jin
Shi Jin
Shanghai Jiao Tong University
Pietro Liò
Pietro Liò
Professor, University of Cambridge
Wenrui Hao
Wenrui Hao
Professor of mathematics, Penn State University