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Weicong Na

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2020 – today

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2023
[j7]
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  - journals/tcasI/FarajiSNFZ23
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Amin Faraji, Sayed Alireza Sadrossadat, Weicong Na, Feng Feng, Qi-Jun Zhang:
A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 70(7): 2904-2915 (2023)
2020
[j6]
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Wei Zhang, Feng Feng, Shuxia Yan, Zhihao Zhao, Weicong Na:
Multiphysics Parametric Modeling of Microwave Components Using Combined Neural Networks and Transfer Function. IEEE Access 8: 5383-5392 (2020)
[j5]
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Jing Jin, Feng Feng, Jianan Zhang, Shuxia Yan, Weicong Na, Qijun Zhang:
A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components. IEEE Access 8: 82273-82285 (2020)

2010 – 2019

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2019
[j4]
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Weicong Na, Wanrong Zhang, Shuxia Yan, Gaohua Liu:
Automated Neural-Based Modeling of Microwave Devices Using Parallel Computation and Interpolation Approaches. IEEE Access 7: 73929-73937 (2019)
[j3]
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Weicong Na, Wanrong Zhang, Shuxia Yan, Feng Feng, Wei Zhang, Yaoqian Zhang:
Automated Neural Network-Based Multiphysics Parametric Modeling of Microwave Components. IEEE Access 7: 141153-141160 (2019)
[j2]
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Jianan Zhang, Feng Feng, Weicong Na, Shuxia Yan, Qijun Zhang:
Parallel Space-Mapping Based Yield-Driven EM Optimization Incorporating Trust Region Algorithm and Polynomial Chaos Expansion. IEEE Access 7: 143673-143683 (2019)
[c2]
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Qijun Zhang, Weicong Na, Ming Li, Qing Ding, Guangsheng Wu:
Extrapolation Techniques for Neural-based Nonlinear Electronic Modeling and Circuit Simulation. ICSAI 2019: 1583-1588
[c1]
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Qijun Zhang, Weicong Na, Ming Li, Yonghai Lan, Qing Ding, Guangsheng Wu:
Knowledge-based Neural Models for Modelling High-Frequency Electronics Circuits. ICSAI 2019: 1589-1593
2017
[j1]
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Junjie Gu, Haipeng Fu, Weicong Na, Qijun Zhang, Jianguo Ma:
Fast and Automated Electromigration Analysis for CMOS RF PA Design. J. Electron. Test. 33(1): 133-140 (2017)

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