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ORCIDDawen Wu
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2020 – today
- 2025
[j10]Dawen Wu, Abdel Lisser:
Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3490-3503 (2025)- 2024
- [j9]Dawen Wu
, Abdel Lisser:
Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization. Math. Comput. Simul. 219: 424-434 (2024) - [j8]Dawen Wu, Abdel Lisser:
Predicting Nash Equilibria in Bimatrix Games Using a Robust Bichannel Convolutional Neural Network. IEEE Trans. Artif. Intell. 5(5): 2358-2370 (2024) - [c1]Teng Yin, Yi Zhang, Dawen Wu, Wenyi Shang, Haixian Zhang:
MMUDA: A Mutual Multi-Task Learning Network with Unsupervised Domain Adaptation for Glaucoma Screening. BIBM 2024: 4323-4330 - [i2]Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan:
Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. CoRR abs/2408.11691 (2024) - 2023
- [b1]Dawen Wu:
Solving Some Nonlinear Optimization Problems with Deep Learning. (Résolution de quelques problèmes d'optimisation non linéaire avec l'apprentissage profond). University of Paris-Saclay, France, 2023 - [j7]Dawen Wu, Abdel Lisser:
Improved saddle point prediction in stochastic two-player zero-sum games with a deep learning approach. Eng. Appl. Artif. Intell. 126: 106664 (2023) - [j6]Dawen Wu, Abdel Lisser:
A deep learning approach for solving linear programming problems. Neurocomputing 520: 15-24 (2023) - [j5]Dawen Wu, Abdel Lisser:
CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games. Inf. Sci. 627: 20-33 (2023) - [j4]Dawen Wu, Abdel Lisser:
Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems. Neural Networks 168: 419-430 (2023) - 2022
- [j3]Dawen Wu, Abdel Lisser:
Using CNN for solving two-player zero-sum games. Expert Syst. Appl. 204: 117545 (2022) - [j2]Dawen Wu, Abdel Lisser:
A dynamical neural network approach for solving stochastic two-player zero-sum games. Neural Networks 152: 140-149 (2022) - [j1]Dawen Wu, Abdel Lisser:
MG-CNN: A deep CNN to predict saddle points of matrix games. Neural Networks 156: 49-57 (2022) - 2020
- [i1]Dawen Wu:
Faster Regret Matching. CoRR abs/2001.05318 (2020)
Coauthor Index
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