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 SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via
Singular Value DecompositionIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022 |
 Multitask Neuroevolution for Reinforcement Learning with Long and Short
EpisodesIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022 |
 Scientific Machine Learning through Physics-Informed Neural Networks:
Where we are and What's nextJournal of Scientific Computing (J. Sci. Comput.), 2022 |
 CAN-PINN: A Fast Physics-Informed Neural Network Based on
Coupled-Automatic-Numerical Differentiation MethodComputer Methods in Applied Mechanics and Engineering (CMAME), 2021 |
 Deep learning in physics: a study of dielectric quasi-cubic particles in
a uniform electric fieldIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021 Zhe Wang C. Guet |
 Scalable Transfer Evolutionary Optimization: Coping with Big Task
InstancesIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020 |
