Junfeng Chen

Positions:

Since Mar 2022: Postdoctoral researcher at Southern University of Science and Technology

Education:

2018-2022: PhD in Numerical Mathematics, High-Performance Computing, and Data Science at CEMEF, Université Paris Sciences et Lettres, advised by Prof. Elie Hachem and Dr. Jonathan Viquerat.
2016-2018: Diplôme d’Ingénieur at Mines Paris & MSc in Statistiques et Machine Learning at Université Paris-Saclay
2012-2016: BSc in Aerospace Engineering & dual BSc in Mathematics at Tsinghua University

Research focus:

AI4Science, dynamical systems, differential equations, fluid mechanics, surrogate modeling, turbulence modeling

Publications

DUE: A deep learning framework and library for modeling unknown equations

Junfeng Chen, Kailiang Wu, Dongbin Xiu

accepted by SIAM Review, 2025

Positional knowledge is all you need: Position-induced Transformer (PiT) for operator learning

Junfeng Chen, Kailiang Wu

International Conference on Machine Learning (ICML), 2024

Deep-OSG: Deep learning of operators in semigroup

Junfeng Chen, Kailiang Wu

Journal of Computational Physics, 2023

A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles

Junfeng Chen, Jonathan Viquerat, Frederic Heymes, Elie Hachem

Neural Computing and Applications, 2022

Graph neural networks for laminar flow prediction around random two-dimensional shapes

Junfeng Chen, Elie Hachem, Jonathan Viquerat

Physics of Fluids, 2021

U-net architectures for fast prediction of incompressible laminar flows

Junfeng Chen, Jonathan Viquerat, Elie Hachem

arXiv preprint, 2019