| Deep neural network technique for high-dimensional microwave modeling and applications to parameter extraction of microwave filters J Jin, C Zhang, F Feng, W Na, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 67 (10), 4140-4155, 2019 | 156 | 2019 |
| Multivalued neural network inverse modeling and applications to microwave filters C Zhang, J Jin, W Na, QJ Zhang, M Yu IEEE Transactions on Microwave Theory and Techniques 66 (8), 3781-3797, 2018 | 151 | 2018 |
| Coarse-and fine-mesh space mapping for EM optimization incorporating mesh deformation F Feng, J Zhang, W Zhang, Z Zhao, J Jin, QJ Zhang IEEE Microwave and Wireless Components Letters 29 (8), 510-512, 2019 | 78 | 2019 |
| Artificial neural networks for microwave computer-aided design: The state of the art F Feng, W Na, J Jin, J Zhang, W Zhang, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 70 (11), 4597-4619, 2022 | 60 | 2022 |
| A novel deep neural network topology for parametric modeling of passive microwave components J Jin, F Feng, J Zhang, S Yan, W Na, Q Zhang IEEE Access 8, 82273-82285, 2020 | 46 | 2020 |
| ANNs for fast parameterized EM modeling: The state of the art in machine learning for design automation of passive microwave structures F Feng, W Na, J Jin, W Zhang, QJ Zhang IEEE Microwave Magazine 22 (10), 37-50, 2021 | 38 | 2021 |
| A novel training approach for parametric modeling of microwave passive components using Padé via Lanczos and EM sensitivities J Zhang, F Feng, W Zhang, J Jin, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (6), 2215-2233, 2020 | 38 | 2020 |
| Recent advances in neural network‐based inverse modeling techniques for microwave applications J Jin, F Feng, W Na, S Yan, W Liu, L Zhu, QJ Zhang International Journal of Numerical Modelling: Electronic Networks, Devices …, 2020 | 34 | 2020 |
| Advanced parallel space-mapping-based multiphysics optimization for high-power microwave filters W Zhang, F Feng, W Liu, S Yan, J Zhang, J Jin, QJ Zhang IEEE transactions on microwave theory and techniques 69 (5), 2470-2484, 2021 | 33 | 2021 |
| Parametric modeling of EM behavior of microwave components using combined neural networks and hybrid-based transfer functions Z Zhao, F Feng, W Zhang, J Zhang, J Jin, QJ Zhang IEEE Access 8, 93922-93938, 2020 | 25 | 2020 |
| Adaptively weighted yield-driven EM optimization incorporating neurotransfer function surrogate with applications to microwave filters J Zhang, F Feng, J Jin, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (1), 518-528, 2020 | 22 | 2020 |
| Efficient yield estimation of microwave structures using mesh deformation-incorporated space mapping surrogates J Zhang, F Feng, J Jin, QJ Zhang IEEE Microwave and Wireless Components Letters 30 (10), 937-940, 2020 | 22 | 2020 |
| Efficient EM topology optimization incorporating advanced matrix Padé via Lanczos and genetic algorithm for microwave design J Jin, F Feng, J Zhang, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (8), 3645-3666, 2021 | 18 | 2021 |
| Parallel multiphysics optimization for microwave devices exploiting neural network surrogate W Zhang, F Feng, J Jin, QJ Zhang IEEE Microwave and Wireless Components Letters 31 (4), 341-344, 2021 | 18 | 2021 |
| Advanced cognition-driven EM optimization incorporating transfer function-based feature surrogate for microwave filters J Jin, F Feng, W Na, J Zhang, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (1), 15-28, 2020 | 17 | 2020 |
| Adjoint EM sensitivity analysis for fast frequency sweep using matrix Padé via Lanczos technique based on finite-element method F Feng, J Zhang, J Jin, W Zhang, Z Zhao, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 69 (5), 2413-2428, 2021 | 16 | 2021 |
| A dual-band reconfigurable intelligent metasurface with beam steering H Lin, W Yu, R Tang, J Jin, Y Wang, J Xiong, Y Wu, J Zhao Journal of Physics D: Applied Physics 55 (24), 245002, 2022 | 14 | 2022 |
| Efficient FEM-based EM optimization technique using combined Lagrangian method with Newton’s method F Feng, J Zhang, J Jin, W Na, S Yan, QJ Zhang IEEE transactions on microwave theory and techniques 68 (6), 2194-2205, 2020 | 13 | 2020 |
| Recent advances in deep neural network technique for high-dimensional microwave modeling J Jin, F Feng, W Zhang, J Zhang, Z Zhao, QJ Zhang 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2020 | 12 | 2020 |
| Recent advances in parametric modeling of microwave components using combined neural network and transfer function F Feng, J Zhang, W Zhang, Z Zhao, J Jin, QJ Zhang International Journal of Numerical Modelling: Electronic Networks, Devices …, 2020 | 10 | 2020 |
Feng FengAssociate Professor, Tianjin UniversityVerified email at tju.edu.cn
