Dawen Wu

According to our database, Dawen Wu authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Error Bound Analysis of Physics-Informed Neural Networks for Solving Nonlinear Projection Equations.

Dawen Wu, Abdel Lisser

J. Optim. Theory Appl., December, 2025

Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation.

Md Tauhidul Islam, Dawen Wu, Qingqing Tang, Kaiyang Zhao, Teng Yin, Li Yan-Fei, Shang Wen-Yi, Jingyu Liu, Haixian Zhang

CoRR, June, 2025

Periodic Hamiltonian Neural Networks.

Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan

IEEE Trans. Artif. Intell., May, 2025

Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework.

Dawen Wu, Abdel Lisser

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Neural triangular map for density estimation and sampling with application to Bayesian inference.

Dawen Wu, Ludovic Chamoin, Stéphane Bressan

J. Comput. Phys., 2025

Physics-Informed Discovery of State Variables in Second-Order and Hamiltonian Systems.

Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Intelligent Information and Database Systems - 17th Asian Conference, 2025

2024

Predicting Nash Equilibria in Bimatrix Games Using a Robust Bichannel Convolutional Neural Network.

Dawen Wu, Abdel Lisser

IEEE Trans. Artif. Intell., May, 2024

Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization.

Dawen Wu, Abdel Lisser

Math. Comput. Simul., 2024

MMUDA: A Mutual Multi-Task Learning Network with Unsupervised Domain Adaptation for Glaucoma Screening.

Teng Yin, Yi Zhang, Dawen Wu, Wenyi Shang, Haixian Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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