About me

I am Dawen Wu (吴达文), a Research Fellow at CNRS@CREATE, working with Prof. Ludovic Chamoin, Prof. Pierre Senellart and Prof. Stephane Bressan. Previously, I was a Ph.D. candidate in Université Paris-Saclay, CNRS, CentraleSupélec, Laboratory of Signals and Systems supervised by Prof. Abdel Lisser.

I develop machine learning-based solvers for a variety of mathematical problems.

Education

• B.S. in Economics and Management, Civil Aviation University of China.
• M.S. in Computer Science, Peking University.
  Advisor: Prof. Zhong Chen.
  Selected coures: 1) Convex optimization, 2) Machine learning, 3) Reinforcement learning
• Ph.D. in Applied Mathematics, Université Paris-Saclay.
  Advisor: Prof. Abdel Lisser.
  Selected coures: 1) Advanced continuous optimization, 2) Optimization and statistical learning, 3) Stability of nonlinear systems.

Selected papers

1. Neuro-PINN: A Hybrid Framework for Efficient Nonlinear Projection Equation Solutions, Dawen Wu, Abdel Lisser, International Journal for Numerical Methods in Engineering.

2. Solving Large-Scale Variational Inequalities with Dynamically Adjusting Initial Condition in Physics-Informed Neural Networks, Dawen Wu, Ludovic Chamoin, Abdel Lisser, Computer Methods in Applied Mechanics and Engineering.

3. Predicting Nash Equilibria in Bimatrix Games using a Robust Bi-channel Convolutional Neural Network, Dawen Wu, Abdel Lisser, IEEE Transactions on Artificial Intelligence.

4. Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework, Dawen Wu, Abdel Lisser, IEEE Transactions on Neural Networks and Learning Systems.

5. Separable Hamiltonian Neural Networks, Zi-Yu Khoo, Dawen Wu*, Jonathan Sze Choong Low, Stéphane Bressan Physical Review E . (*Corresponding author)

6. Error Bound Analysis of Physics-Informed Neural Networks for Solving Nonlinear Projection Equations, Dawen Wu, Abdel Lisser Journal of Optimization Theory and Applications . (Minor revision)

Prsentations

• National University of Singapore, Singapore, Feb. 07, 2024
  Title: Transport Map. Slide
• Laboratoire des Signaux et Systèmes (L2S) PhD students day, Gif-sur-Yvette, Sep. 15, 2022
  Title: Optimization-informed neural networks. Slide
• ECSO-CMS-2022 Conference, Venice, July 1, 2022
  Title: A dynamical neural network approach for solving stochastic two-player zero-sum games. Slide
• CSC - POLYTECH workshop, Paris, May 23, 2022
  Title: Using cnn for solving two-player zero-sum games. Slide
• Laboratoire des Signaux et Systèmes (L2S) PhD students day, Gif-sur-Yvette, Sep. 23, 2021
  Title: Using cnn for solving two-player zero-sum games. Poster

Academic Service

Invited Reviewer (Journal):

• IEEE Transactions on Neural Networks and Learning Systems
• European Journal of Control
• Journal of Global Optimization
• Machine Learning
• Engineering Applications of Artificial Intelligence
• IEEE Transactions on Cybernetics
• Neural Networks
• Nonlinear Dynamics

Skills

• Programming: Python, Julia.
• Machine Learning: PyTorch, JAX.