Dawen Wu

According to our database, Dawen Wu authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.

Dawen Wu, Abdel Lisser

Neural Networks, November, 2023

Improved saddle point prediction in stochastic two-player zero-sum games with a deep learning approach.

Dawen Wu, Abdel Lisser

Eng. Appl. Artif. Intell., November, 2023

CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games.

Dawen Wu, Abdel Lisser

Inf. Sci., May, 2023

Solving Some Nonlinear Optimization Problems with Deep Learning. (Résolution de quelques problèmes d'optimisation non linéaire avec l'apprentissage profond).

Dawen Wu

PhD thesis, 2023

A deep learning approach for solving linear programming problems.

Dawen Wu, Abdel Lisser

Neurocomputing, 2023

2022

MG-CNN: A deep CNN to predict saddle points of matrix games.

Dawen Wu, Abdel Lisser

Neural Networks, 2022

A dynamical neural network approach for solving stochastic two-player zero-sum games.

Dawen Wu, Abdel Lisser

Neural Networks, 2022

Using CNN for solving two-player zero-sum games.

Dawen Wu, Abdel Lisser

Expert Syst. Appl., 2022

2020

Faster Regret Matching.

Dawen Wu

CoRR, 2020