Faster Regret Matching. - Dawen Wu (CoRR, 2020)

Using CNN for solving two-player zero-sum games. - Dawen Wu; Abdel Lisser (Expert Syst. Appl., 2022)

A dynamical neural network approach for solving stochastic two-player zero-sum games. - Dawen Wu; Abdel Lisser (Neural Networks, 2022)

MG-CNN: A deep CNN to predict saddle points of matrix games. - Dawen Wu; Abdel Lisser (Neural Networks, 2022)

A deep learning approach for solving linear programming problems. - Dawen Wu; Abdel Lisser (Neurocomputing, 2023)

Solving Some Nonlinear Optimization Problems with Deep Learning. (Résolution de quelques problèmes d'optimisation non linéaire avec l'apprentissage profond). - Dawen Wu (2023)

CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games. - Dawen Wu; Abdel Lisser (Inf. Sci., 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., 2023)

Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems. - Dawen Wu; Abdel Lisser (Neural Networks, 2023)

MMUDA: A Mutual Multi-Task Learning Network with Unsupervised Domain Adaptation for Glaucoma Screening. - Teng Yin; Yi Zhang 119; Dawen Wu; Wenyi Shang; Haixian Zhang (BIBM, 2024)

Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization. - Dawen Wu; Abdel Lisser (Math. Comput. Simul., 2024)

Predicting Nash Equilibria in Bimatrix Games Using a Robust Bichannel Convolutional Neural Network. - Dawen Wu; Abdel Lisser (IEEE Trans. Artif. Intell., 2024)

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 (ACIIDS (1), 2025)

Neural triangular map for density estimation and sampling with application to Bayesian inference. - Dawen Wu; Ludovic Chamoin; Stéphane Bressan (J. Comput. Phys., 2025)

Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework. - Dawen Wu; Abdel Lisser (IEEE Trans. Neural Networks Learn. Syst., 2025)

Periodic Hamiltonian Neural Networks. - Zi-Yu Khoo; Dawen Wu; Jonathan Sze Choong Low; Stéphane Bressan (IEEE Trans. Artif. Intell., 2025)

Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation. - Md Tauhidul Islam; Dawen Wu; Qingqing Tang; Kaiyang Zhao 003; Teng Yin; Li Yan-Fei; Shang Wen-Yi; Jingyu Liu; Haixian Zhang (CoRR, 2025)