| Polynomial chaos-based approach to yield-driven EM optimization J Zhang, C Zhang, F Feng, W Zhang, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 66 (7), 3186-3199, 2018 | 102 | 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 | 79 | 2019 |
| Space mapping approach to electromagnetic centric multiphysics parametric modeling of microwave components W Zhang, F Feng, J Zhang, S Yan, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 66 (7), 3169-3185, 2018 | 67 | 2018 |
| 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 |
| Adaptive feature zero assisted surrogate-based EM optimization for microwave filter design F Feng, C Zhang, W Na, J Zhang, W Zhang, QJ Zhang IEEE Microwave and Wireless Components Letters 29 (1), 2-4, 2018 | 57 | 2018 |
| 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 |
| 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 |
| 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 |
| Parallel Space-Mapping Based Yield-Driven EM Optimization Incorporating Trust Region Algorithm and Polynomial Chaos Expansion J. Zhang, F. Feng, W. Na, S. Yan, QJ. Zhang IEEE Access 7 (1), 143673-143683, 2019 | 29 | 2019 |
| 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 |
| Parallel decomposition approach to wide-range parametric modeling with applications to microwave filters W Zhang, F Feng, J Zhang, Z Zhao, J Ma, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 68 (12), 5288-5306, 2020 | 23 | 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 |
| Parameterized modeling incorporating MOR-based rational transfer functions with neural networks for microwave components J Zhang, J Chen, Q Guo, W Liu, F Feng, QJ Zhang IEEE Microwave and Wireless Components Letters 32 (5), 379-382, 2022 | 19 | 2022 |
| 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 |
| 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 |
| Parallel gradient-based local search accelerating particle swarm optimization for training microwave neural network models J Zhang, K Ma, F Feng, Q Zhang 2015 IEEE MTT-S International Microwave Symposium, 1-3, 2015 | 16 | 2015 |
| Parametric modeling incorporating joint polynomial-transfer function with neural networks for microwave filters Y Zhuo, F Feng, J Zhang, QJ Zhang IEEE Transactions on Microwave Theory and Techniques 70 (11), 4652-4665, 2022 | 14 | 2022 |
| Advanced parametric modeling using neuro-transfer function for EM based multiphysics analysis of microwave passive components W Zhang, F Feng, J Zhang, S Zhang, QJ Zhang 2016 IEEE MTT-S International Microwave Symposium (IMS), 1-3, 2016 | 14 | 2016 |
Feng FengAssociate Professor, Tianjin UniversityVerified email at tju.edu.cn
