Weicong Na

Orcid: 0000-0001-9775-5124

According to our database1, Weicong Na authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

Knowledge-based Neural Models for Modelling High-Frequency Electronics Circuits.
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
Fast and Automated Electromigration Analysis for CMOS RF PA Design.
J. Electron. Test., 2017


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