Guo Yue

Guo Yue (郭 悦)

PhD Candidate
Department of Mathematics
National University of Singapore

I am a PhD candidate in Mathematics, National University of Singapore (NUS), supervised by Li Qianxiao.

I graduated with a BSc in Pure and Applied Mathematics, Jilin University and an MSc in Mathematics, National University of Singapore.

My research areas include machine learning and dynamical systems, particularly focusing on applying neural networks to improve numerical algorithms and integrating Koopman operators with control systems for forward predictions and inverse problems.

Publications & Preprints

  • Yue Guo, Milan Korda, Ioannis G Kevrekidis, Qianxiao Li (2025). Learning Parametric Koopman Decompositions for Prediction and Control (SIAM Journal on Applied Dynamical Systems).

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  • Danimir T Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G Kevrekidis (2024). A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms (SIAM Journal on Scientific Computing).

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  • Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T Doncevic, Manuel Dahmen, Ioannis G Kevrekidis, Qianxiao Li (2022). Personalized Algorithm Generation: A Case Study in Learning ODE Integrators (SIAM Journal on Scientific Computing).

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Short CV

PhD Candidate

Mathematics, National University of Singapore, Singapore

2021 - Present

Research Assistant

Mathematics, National University of Singapore, Singapore

2020-2021

Responsibilities include:

  • Maintain and develop the code repository for OnsagerNet model.
  • Contribute to a collaborative project to compare mathematical models for weather prediction, involving code development and data analysis to evaluate model performance.

Master of Science

Mathematics, National University of Singapore, Singapore

2019-2020

Bachelor of Science

Pure and Applied Mathematics, Jilin University, China

2015-2019

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