Weicong Na
Orcid: 0000-0001-9775-5124
According to our database1,
Weicong Na
authored at least 13 papers
between 2017 and 2024.
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Collaborative distances:
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Bibliography
2024
Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024
Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2024
High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2024
2023
A novel CMOS active inductor with high quality factor, high linearity and mutually independent tuning of inductance and quality factor.
Microelectron. J., November, 2023
A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2023
2020
Multiphysics Parametric Modeling of Microwave Components Using Combined Neural Networks and Transfer Function.
IEEE Access, 2020
A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components.
IEEE Access, 2020
2019
Parallel Space-Mapping Based Yield-Driven EM Optimization Incorporating Trust Region Algorithm and Polynomial Chaos Expansion.
IEEE Access, 2019
Automated Neural-Based Modeling of Microwave Devices Using Parallel Computation and Interpolation Approaches.
IEEE Access, 2019
Automated Neural Network-Based Multiphysics Parametric Modeling of Microwave Components.
IEEE Access, 2019
Proceedings of the 6th International Conference on Systems and Informatics, 2019
Extrapolation Techniques for Neural-based Nonlinear Electronic Modeling and Circuit Simulation.
Proceedings of the 6th International Conference on Systems and Informatics, 2019
2017
J. Electron. Test., 2017