Qi-jun Zhang

发表

Parametric Modeling of Microwave Components Using Adjoint Neural Networks and Pole-Residue Transfer Functions With EM Sensitivity Analysis

Feng Feng, Venu-Madhav-Reddy Gongal-Reddy, Chao Zhang, 2017, IEEE Transactions on Microwave Theory and Techniques.

Sensitivity analysis of lossy coupled transmission lines

M. Nakhla, Qi-jun Zhang, S. Lum, 1991 .

A frequency domain approach to performance optimization of high-speed VLSI interconnects

M. Nakhla, Qi-jun Zhang, R. Liu, 1992 .

Efficient large-signal FET parameter extraction using harmonics

John W. Bandler, Qi-Jun Zhang, S. H. Chen, 1989 .

Polynomial Chaos-Based Approach to Yield-Driven EM Optimization

Chao Zhang, Qi-Jun Zhang, Wei Zhang, 2018, IEEE Transactions on Microwave Theory and Techniques.

Finite difference solution of EM fields by asymptotic waveform techniques

M. Nakhla, Qi-jun Zhang, M. Li, 1996 .

Fast method for frequency and time domain simulation of high-speed VLSI interconnects

Qi-Jun Zhang, Michel Nakhla, R. Sanaie, 1994, 1994 IEEE MTT-S International Microwave Symposium Digest (Cat. No.94CH3389-4).

Simultaneous Time an ncv ai Solutions of EM roblems Finite Element and GF

R. Achar, M. Nakhla, Qi-jun Zhang, 1996 .

Integrated model parameter extraction using large-scale optimization concepts

John W. Bandler, Qi-Jun Zhang, S. Ye, 1988 .

Extreme learning machine for the behavioral modeling of RF power amplifiers

Qi-Jun Zhang, Hai-Peng Fu, Qian-Fu Cheng, 2017, 2017 IEEE MTT-S International Microwave Symposium (IMS).

Minimization Of Delay And Crosstalk In High-speed Vlsi Interconnects

Qi-Jun Zhang, Michel Nakhla, S. Lure, 1992, 1992 Proceedings of the IEEE Custom Integrated Circuits Conference.

Smart Modeling of Microwave Devices

Qi-jun Zhang, Ming Yu, P. Aaen, 2010, IEEE Microwave Magazine.

An efficient approach for moment-matching simulation of linear subnetworks with measured or tabulated data

R. Achar, M. Nakhla, Qi-jun Zhang, 1996, Proceedings of International Conference on Computer Aided Design.

Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art

Qi-jun Zhang, Jianan Zhang, Wei Zhang, 2022, IEEE Transactions on Microwave Theory and Techniques.

Electromagnetic Parametric Modeling Using Combined Neural Networks and RLGC-Based Eigenfunctions for Two-Port Microstrip Structures

Qi-jun Zhang, Jianan Zhang, Qian Lin, 2022, IEEE Transactions on Microwave Theory and Techniques.

Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Pole-Residue-Based Transfer Functions

Chao Zhang, Feng Feng, Qi-Jun Zhang, 2016, IEEE Transactions on Microwave Theory and Techniques.

Simulation optimization to microwave components using neural network

Qi-Jun Zhang, Airong Nie, Rigui Zhou, 2014 .

Neural Networks for Microwave Modeling: Model Development Issues and Nonlinear Modeling Techniques

Qi-Jun Zhang, Jianjun Xu, Mustapha C. E. Yagoub, 2001 .

Neural Network Structures and Training Algorithms for RF and Microwave Applications

Qi-Jun Zhang, Fang Wang, Changgeng Xi, 1999 .

The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuits

Michel Nakhla, Qi-Jun Zhang, A. Veluswami, 1997 .

The application of neural networks to high speed interconnect simulation

Qi-Jun Zhang, M.S. Nakhla, A. Veluswami, 1995, Proceedings 1995 Canadian Conference on Electrical and Computer Engineering.

A neural network model for propagation delays in systems with high speed VLSI interconnect networks

Qi-Jun Zhang, Michel Nakhla, A. Veluswami, 1995, Proceedings of the IEEE 1995 Custom Integrated Circuits Conference.

The recent developments in microwave design

Murat Simsek, Qi-Jun Zhang, Humayun Kabir, 2011, Int. J. Math. Model. Numer. Optimisation.

The recent developments in knowledge based neural modeling

Murat Simsek, Qi-Jun Zhang, Humayun Kabir, 2010, ICCS.

Incorporating functional knowledge into neural networks

Fang Wang, Qi-Jun Zhang, Qi-jun Zhang, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Bayesian-Assisted Multilayer Neural Network Structure Adaptation Method for Microwave Design

Qi-jun Zhang, Jianan Zhang, F. Feng, 2023, IEEE Microwave and Wireless Technology Letters.

Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components

Qi-jun Zhang, Jianan Zhang, F. Feng, 2022, IEEE Microwave and Wireless Components Letters.

ANNs for Fast Parameterized EM Modeling: The State of the Art in Machine Learning for Design Automation of Passive Microwave Structures

Qi-jun Zhang, Wei Zhang, W. Na, 2021, IEEE Microwave Magazine.

A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components

Qijun Zhang, Feng Feng, Weicong Na, 2020, IEEE Access.

A Unified Automated Parametric Modeling Algorithm Using Knowledge-Based Neural Network and ${l}_{1}$ Optimization

Weicong Na, Chao Zhang, Feng Feng, 2017, IEEE Transactions on Microwave Theory and Techniques.

Adaptively Weighted Yield-Driven EM Optimization Incorporating Neurotransfer Function Surrogate With Applications to Microwave Filters

Wei Zhang, Feng Feng, Jianan Zhang, 2021, IEEE Transactions on Microwave Theory and Techniques.

Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design

Qi-Jun Zhang, Feng Feng, Weicong Na, 2020, IEEE Transactions on Microwave Theory and Techniques.

Parallel Space-Mapping Based Yield-Driven EM Optimization Incorporating Trust Region Algorithm and Polynomial Chaos Expansion

Qijun Zhang, Feng Feng, Weicong Na, 2019, IEEE Access.

Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters

Weicong Na, Feng Feng, Qi-Jun Zhang, 2019, IEEE Transactions on Microwave Theory and Techniques.

A New Training Approach for Parametric Modeling of Microwave Passive Components Using Combined Neural Networks and Transfer Functions

Gaofeng Wang, Qi-Jun Zhang, Yazi Cao, 2009, IEEE Transactions on Microwave Theory and Techniques.

A neural network modeling approach to circuit optimization and statistical design

Michel Nakhla, Qi-Jun Zhang, A. H. Zaabab, 1995 .

Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters

Qi-jun Zhang, Jianan Zhang, F. Feng, 2022, IEEE Transactions on Microwave Theory and Techniques.

Bayesian-Based Automated Model Generation Method for Neural Network Modeling of Microwave Components

Qi-Jun Zhang, Feng Feng, Weicong Na, 2021, IEEE Microwave and Wireless Components Letters.

Convolutional Neural Network With Adaptive Batch-Size Training Technique for High-Dimensional Inverse Modeling of Microwave Filters

Qi-jun Zhang, F. Feng, Changyuan Yu, 2023, IEEE Microwave and Wireless Technology Letters.

Coarse- and Fine-Mesh Space Mapping for EM Optimization Incorporating Mesh Deformation

Feng Feng, Qi-Jun Zhang, Jing Jin, 2019, IEEE Microwave and Wireless Components Letters.

Parallel Computational Approach to Gradient Based EM Optimization of Passive Microwave Circuits

Venu-Madhav-Reddy Gongal-Reddy, Chao Zhang, Shunlu Zhang, 2016, IEEE Transactions on Microwave Theory and Techniques.

Artificial neural networks for RF and microwave design - from theory to practice

Qi-Jun Zhang, Vijay Devabhaktuni, K. C. Gupta, 2003 .

Neural Networks for RF and Microwave Design

Qi-Jun Zhang, K. C. Gupta, K. Gupta, 2000 .

An Automatic Decomposition Approach to Optimization of Large Microwave Systems

John W. Bandler, Qi-Jun Zhang, J. Bandler, 1987 .

A generalized space-mapping tableau approach to device modeling

John W. Bandler, Qi-Jun Zhang, José E. Rayas-Sánchez, 2001 .

Neural space-mapping optimization for EM-based design

John W. Bandler, Qi-Jun Zhang, José E. Rayas-Sánchez, 2000 .

Statistical Neuro-Space Mapping Technique for Large-Signal Modeling of Nonlinear Devices

Qi-Jun Zhang, Lei Zhang, J. Wood, 2008, IEEE Transactions on Microwave Theory and Techniques.

Simultaneous time and frequency domain solutions of EM problems using finite element and CFH techniques

Ramachandra Achar, Qi-Jun Zhang, Michel Nakhla, 1996 .

Simulation-Driven Design Optimization and Modeling for Microwave Engineering

Xin-She Yang, Slawomir Koziel, Qi-Jun Zhang, 2013 .

Parallel gradient-based local search accelerating particle swarm optimization for training microwave neural network models

Feng Feng, Qijun Zhang, Jianan Zhang, 2015, 2015 IEEE MTT-S International Microwave Symposium.

A gradient‐based binary feedback scheme for congestion control in computer networks

Luis Orozco-Barbosa, Qi-Jun Zhang, Delfin Y. Montuno, 2000 .

Optimal congestion bit setting in a flow control scheme using neural networks

L. Orozco-Barbosa, D.Y. Montuno, Qi-Jun Zhang, 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

Parametric Modeling of EM Behavior of Microwave Components Using Combined Neural Networks and Hybrid-Based Transfer Functions

Jing Jin, Wei Zhang, Qi-Jun Zhang, 2020, IEEE Access.

Behavioral modeling of power amplifier with long term memory effects using recurrent neural networks

Qi-Jun Zhang, Shuxia Yan, Chuan Zhang, 2013, 2013 IEEE International Wireless Symposium (IWS).

Large change sensitivity analysis in linear systems using generalized householder formulae

John W. Bandler, Qi-Jun Zhang, J. Bandler, 1986 .

Neural-Network Modeling for 3-D Substructures Based on Spatial EM-Field Coupling in Finite-Element Method

Yi Cao, Jianhua Xu, Qi-Jun Zhang, 2011, IEEE Transactions on Microwave Theory and Techniques.

Multivalued Neural Network Inverse Modeling and Applications to Microwave Filters

Weicong Na, Chao Zhang, Qi-Jun Zhang, 2018, IEEE Transactions on Microwave Theory and Techniques.

A Wiener-Type Dynamic Neural Network Approach to the Modeling of Nonlinear Microwave Devices

Weicong Na, Lin Zhu, Wenyuan Liu, 2017, IEEE Transactions on Microwave Theory and Techniques.

Advanced parametric modeling using neuro-transfer function for EM based multiphysics analysis of microwave passive components

Wei Zhang, Feng Feng, Qi-Jun Zhang, 2016, 2016 IEEE MTT-S International Microwave Symposium (IMS).

Neural Network Inverse Modeling and Applications to Microwave Filter Design

Qi-Jun Zhang, Ying Wang, Ming Yu, 2008, IEEE Transactions on Microwave Theory and Techniques.

Adaptive Feature Zero Assisted Surrogate-Based EM Optimization for Microwave Filter Design

Weicong Na, Chao Zhang, Feng Feng, 2019, IEEE Microwave and Wireless Components Letters.

Advanced Cognition-Driven EM Optimization Incorporating Transfer Function-Based Feature Surrogate for Microwave Filters

Wei Zhang, Feng Feng, Weicong Na, 2021, IEEE Transactions on Microwave Theory and Techniques.

Efficient Yield Estimation of Microwave Structures Using Mesh Deformation-Incorporated Space Mapping Surrogates

Qi-jun Zhang, Jianan Zhang, F. Feng, 2020, IEEE Microwave and Wireless Components Letters.

EM-Centric Multiphysics Optimization of Microwave Components Using Parallel Computational Approach

Qi-jun Zhang, Wei Zhang, W. Na, 2020, IEEE Transactions on Microwave Theory and Techniques.

Rapid Yield Estimation of Microwave Passive Components Using Model-Order Reduction Based Neuro-Transfer Function Models

Qi-jun Zhang, Jianan Zhang, F. Feng, 2021, IEEE Microwave and Wireless Components Letters.

Parallel Multiphysics Optimization for Microwave Devices Exploiting Neural Network Surrogate

Qi-jun Zhang, Wei Zhang, F. Feng, 2021, IEEE Microwave and Wireless Components Letters.

A review of neural network based techniques for nonlinear microwave device modeling

Weicong Na, Lin Zhu, Wenyuan Liu, 2016, 2016 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).

A Novel Dynamic Neuro-Space Mapping Approach for Nonlinear Microwave Device Modeling

Lin Zhu, Yongtao Ma, Kaihua Liu, 2016, IEEE Microwave and Wireless Components Letters.

Nonlinear Electronic/Photonic Component Modeling Using Adjoint State-Space Dynamic Neural Network Technique

Qi-Jun Zhang, Sayed Alireza Sadrossadat, Pavan Gunupudi, 2015, IEEE Transactions on Components, Packaging and Manufacturing Technology.

A New Training Approach for Robust Recurrent Neural-Network Modeling of Nonlinear Circuits

Qi-Jun Zhang, Yi Cao, Qi-jun Zhang, 2009, IEEE Transactions on Microwave Theory and Techniques.

A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits

Qi-jun Zhang, S. A. Sadrossadat, W. Na, 2023, IEEE Transactions on Circuits and Systems I: Regular Papers.

A fast method for frequency and time domain simulation of high-speed VLSI interconnects

Qi-Jun Zhang, Michel Nakhla, R. Sanaie, 1994 .

A New Hybrid Method for Extracting Bias and Temperature-Dependent Source/Drain Access Resistances in Passivated GaN HEMTs

Qi-jun Zhang, Mengjie Li, Qian Lin, 2022, IEEE Microwave and Wireless Components Letters.

Space Mapping Technique Using Decomposed Mappings for GaN HEMT Modeling

Lei Zhang, Qi-Jun Zhang, Feng Feng, 2020, IEEE Transactions on Microwave Theory and Techniques.

Advanced Extrapolation Technique for Neural-Based Microwave Modeling and Design

Weicong Na, Lin Zhu, Wenyuan Liu, 2018, IEEE Transactions on Microwave Theory and Techniques.

Parallel matrix neural network training on cluster systems for dynamic FET modeling from large datasets

Qi-Jun Zhang, Jianjun Xu, Shunlu Zhang, 2016, 2016 IEEE MTT-S International Microwave Symposium (IMS).

Evolutionary Neuro-Space Mapping Technique for Modeling of Nonlinear Microwave Devices

Qi-Jun Zhang, Lei Zhang, T Dhaene, 2011, IEEE Transactions on Microwave Theory and Techniques.

Simple and Effective Extrapolation Technique for Neural-Based Microwave Modeling

Qi-Jun Zhang, Lei Zhang, Qi-jun Zhang, 2010, IEEE Microwave and Wireless Components Letters.

Simulation and Automated Modeling of Microwave Circuits: State-of-the-Art and Emerging Trends

M. Nakhla, Qi-jun Zhang, E. Gad, 2021, IEEE Journal of Microwaves.

Microwave noise modeling for PHEMT using artificial neural network technique

Xiuping Li, Jianjun Gao, Qi-jun Zhang, 2006, 2006 Asia-Pacific Microwave Conference.

Physics-Driven Machine-Learning Approach Incorporating Temporal Coupled Mode Theory for Intelligent Design of Metasurfaces

Qi-jun Zhang, J. You, Jianan Zhang, 2023, IEEE Transactions on Microwave Theory and Techniques.

State-space dynamic neural network technique for high-speed IC applications: modeling and stability analysis

Qi-Jun Zhang, Runtao Ding, Yi Cao, 2006, IEEE Transactions on Microwave Theory and Techniques.

Recent Advances in Deep Neural Network Technique for High-Dimensional Microwave Modeling

W. Zhang, Qi-jun Zhang, Jianan Zhang, 2020, 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).

Parallel Decomposition Approach to Wide-Range Parametric Modeling With Applications to Microwave Filters

Qi-Jun Zhang, Feng Feng, Jianan Zhang, 2020, IEEE Transactions on Microwave Theory and Techniques.

A robust algorithm for automatic development of neural network models for microwave applications

M.C.E. Yagoub, Qi-Jun Zhang, V. Devabhaktuni, 2001, 2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157).

Neuromodeling of microwave circuits exploiting space mapping technology

J.W. Bandler, Q.J. Zhang, M.A. Ismail, 1999, 1999 IEEE MTT-S International Microwave Symposium Digest (Cat. No.99CH36282).

Knowledge based neural models for microwave design

Fang Wang, Q.J. Zhang, Fang Wang, 1997, 1997 IEEE MTT-S International Microwave Symposium Digest.

Neural Networks for RF and Microwave Design (Book + Neuromodeler Disk)

Qi-Jun Zhang, K. C. Gupta, K. Gupta, 2000 .

Neural inverse space mapping (NISM) optimization for EM‐based microwave design

John W. Bandler, Qi-Jun Zhang, José E. Rayas-Sánchez, 2003 .

Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement

S. Koziel, Qi-jun Zhang, A. Pietrenko‐Dabrowska, 2023, Electronics.

Advanced Parallel Space-Mapping-Based Multiphysics Optimization for High-Power Microwave Filters

Qi-jun Zhang, Jianan Zhang, Wei Zhang, 2021, IEEE transactions on microwave theory and techniques.

A Time Delay Neural Network Based Technique for Nonlinear Microwave Device Modeling

Qian Lin, Qi-Jun Zhang, Feng Feng, 2020, Micromachines.

Novel Decomposition Technique on Rational-Based Neuro-Transfer Function for Modeling of Microwave Components

Jing Jin, Feng Feng, Wei Zhang, 2020, Micromachines.

Space Mapping Approach to Electromagnetic Centric Multiphysics Parametric Modeling of Microwave Components

Wei Zhang, Feng Feng, Qi-Jun Zhang, 2018, IEEE Transactions on Microwave Theory and Techniques.

Rapid ULSI Interconnect Reliability Analysis Using Neural Networks

Cher Ming Tan, Qi-Jun Zhang, Jianguo Ma, 2014, IEEE Transactions on Device and Materials Reliability.

An enhanced Neuro-Space mapping method for nonlinear microwave device modeling

Yongtao Ma, Kaihua Liu, Qijun Zhang, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Neuro-Space Mapping technique for nonlinear device modeling and large signal simulation

M.C.E. Yagoub, Jianjun Xu, Runtao Ding, 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

Parallel Gradient-Based EM Optimization for Microwave Components Using Adjoint- Sensitivity-Based Neuro-Transfer Function Surrogate

Qi-Jun Zhang, Feng Feng, Weicong Na, 2020, IEEE Transactions on Microwave Theory and Techniques.

An enhanced analytical Neuro-Space Mapping method for large-signal microwave device modeling

Lin Zhu, Yongtao Ma, Kaihua Liu, 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

Space Mapping Optimization Using Coarse-fine Mesh for the H-plane Waveguide Filter

Qi-jun Zhang, Wei Zhang, Kaixue Ma, 2022, 2022 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP).

Parallel Space-Mapping Approach to EM Optimization

Feng Feng, Venu-Madhav-Reddy Gongal-Reddy, Chao Zhang, 2014, IEEE Transactions on Microwave Theory and Techniques.

Parametric Modeling of Microwave Passive Components Using Sensitivity-Analysis-Based Adjoint Neural-Network Technique

Qi-Jun Zhang, Yazi Cao, Sayed Alireza Sadrossadat, 2013, IEEE Transactions on Microwave Theory and Techniques.

Simple and Efficient High-Dimensional Parametric Modeling for Microwave Cavity Filters Using Modular Neural Network

Qi-Jun Zhang, Yazi Cao, S Reitzinger, 2011, IEEE Microwave and Wireless Components Letters.

Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks and space mapping

M.C.E. Yagoub, B. Chattaraj, Q.J. Zhang, 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

A Novel Training Approach for Parametric Modeling of Microwave Passive Components Using Padé via Lanczos and EM Sensitivities

Jing Jin, Jianguo Ma, Qi-Jun Zhang, 2020, IEEE Transactions on Microwave Theory and Techniques.

Design and optimization of optical passive elements using artificial neural networks

Chao Zhang, Qi-Jun Zhang, Tom J. Smy, 2019, Journal of the Optical Society of America B.

Automated parametric modeling of microwave components using combined neural network and interpolation techniques

Weicong Na, Qijun Zhang, Qi-jun Zhang, 2013, 2013 IEEE MTT-S International Microwave Symposium Digest (MTT).

Nonlinear HEMT Modeling Using Artificial Neural Network Technique

Lei Zhang, Jianjun Gao, Qi-Jun Zhang, 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..

Efficient EM Topology Optimization Incorporating Advanced Matrix Padé Via Lanczos and Genetic Algorithm for Microwave Design

Qi-jun Zhang, Jianan Zhang, F. Feng, 2021, IEEE transactions on microwave theory and techniques.

Advanced EM Topology Optimization of the Symmetrical Two-pole Waveguide Filter Using Matrix Dimensionality Reduction Technique

Wei Zhang, Qi-jun Zhang, Ningning Yan, 2023, 2023 IEEE MTT-S International Wireless Symposium (IWS).

The Progress and Prospects of Bayesian-Based Automated ANN Model Generation Method for Microwave Modeling

Qi-jun Zhang, Xin Liu, W. Na, 2023, 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).

Recent advances in parametric modeling of microwave components using combined neural network and transfer function

Qi-Jun Zhang, Feng Feng, Wei Zhang, 2020, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields.

Recent advances in neural network‐based inverse modeling techniques for microwave applications

Qi-Jun Zhang, Feng Feng, Weicong Na, 2020, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields.

High-Dimensional Neural-Network Technique and Applications to Microwave Filter Modeling

Qi-Jun Zhang, Ying Wang, Ming Yu, 2010, IEEE Transactions on Microwave Theory and Techniques.

Integrated physics-oriented statistical modeling, simulation, and optimization (MESFETs)

John W. Bandler, Qi-Jun Zhang, S. H. Chen, 1992 .

Quantum Computing Method for Solving Electromagnetic Problems Based on the Finite Element Method

Qi-jun Zhang, Jianan Zhang, F. Feng, 2024, IEEE transactions on microwave theory and techniques.

Finite element transient thermal analysis of electronic boards and packages using moment-matching techniques

Qi-Jun Zhang, Michel Nakhla, Da-Guang Liu, 1996, InterSociety Conference on Thermal Phenomena in Electronic Systems, I-THERM V.

Asymptotic thermal analysis of electronic packages and printed-circuit boards

Qi-Jun Zhang, Da-Guang Liu, V. Phanilatha, 1995 .

Mesh Morphing-Embedded Space Mapping Optimization for Waveguide Components With Arc Structures

Qi-jun Zhang, Qian Lin, Mutian Li, 2023, IEEE Microwave and Wireless Technology Letters.

Adjoint EM Sensitivity Analysis for Fast Frequency Sweep Using Matrix Padé via Lanczos Technique Based on Finite-Element Method

Qi-jun Zhang, Jianan Zhang, Wei Zhang, 2021, IEEE Transactions on Microwave Theory and Techniques.

Knowledge-based coarse and fine mesh space mapping approach to EM optimization

Feng Feng, Venu-Madhav-Reddy Gongal-Reddy, Chao Zhang, 2014, 2014 International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO).