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Dawen Wu
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 11
Top Topics
Deep Learning
Optimization Problems
Game Theoretic
Nash Equilibria
Top Venues
Neural Networks
CoRR
Math. Comput. Simul.
Eng. Appl. Artif. Intell.
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Publications
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Dawen Wu
,
Abdel Lisser
Predicting Nash Equilibria in Bimatrix Games Using a Robust Bichannel Convolutional Neural Network.
IEEE Trans. Artif. Intell.
5 (5) (2024)
Dawen Wu
,
Abdel Lisser
Solving Constrained Pseudoconvex Optimization Problems with deep learning-based neurodynamic optimization.
Math. Comput. Simul.
219 (2024)
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 (2023)
Dawen Wu
,
Abdel Lisser
CCGnet: A deep learning approach to predict Nash equilibrium of chance-constrained games.
Inf. Sci.
627 (2023)
Dawen Wu
,
Abdel Lisser
Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.
Neural Networks
168 (2023)
Dawen Wu
,
Abdel Lisser
A deep learning approach for solving linear programming problems.
Neurocomputing
520 (2023)
Dawen Wu
,
Abdel Lisser
Using CNN for solving two-player zero-sum games.
Expert Syst. Appl.
204 (2022)
Dawen Wu
,
Abdel Lisser
Optimization-Informed Neural Networks.
CoRR
(2022)
Dawen Wu
,
Abdel Lisser
A dynamical neural network approach for solving stochastic two-player zero-sum games.
Neural Networks
152 (2022)
Dawen Wu
,
Abdel Lisser
MG-CNN: A deep CNN to predict saddle points of matrix games.
Neural Networks
156 (2022)
Dawen Wu
Faster Regret Matching.
CoRR
(2020)