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Yanming Zhang

Professor

Southeast University

China

Research Interests

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Articles (20)

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Collaborators (4)

Antonios Argyriou

University of Thessaly

GREECE

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Lixi Huang

Professor

The University of Hong Kong

HONG KONG

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Le-Nam Tran

Assoc. Professor

Dublin City University

IRELAND

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Steven Gao

Professor

University of Kent

UNITED KINGDOM

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Yanming Zhang

Research Interests

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Articles (20)

Novel Physics-Aware Attention-Based Machine Learning Approach for Mutual Coupling Modeling

A Wideband Co-LP Monostatic STAR Antenna Design Using Multiport Theory for ISAC Applications

Multiple scattering field and derived acoustic interaction force and torque for multiple non-spherical axisymmetric objects

A Hybrid Method for Source Direction Finding With Radio Frequency Interference and Gaussian White Noise

Artificial Intelligence Enhanced Signal Processing for Large-scale Antenna Arrays via Memristor Crossbar Architectures

Design of Sparse Antenna Arrays Using the Physics-Aware Generative Adversarial Network

High-Order Dynamic Mode Decomposition for Multidimensional Harmonic Retrieval

Power-Efficient Deceptive Wireless Beamforming Against Eavesdroppers

A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding

Design of Decoupling and Pattern Shaping Surface for MIMO Antennas Using the Multiport Optimization Method

Enhanced Multidimensional Harmonic Retrieval in MIMO Wireless Channel Sounding

Coupling-Informed Data-Driven Scheme for Joint Angle and Frequency Estimation in Uniform Linear Array With Mutual Coupling Present

A Data-Driven Approach to Time-Domain Electromagnetic Modeling Based on Dynamic Mode Decomposition

A Hybrid Algorithm to Dual Sparse Sampling Measurement in Time-Resolved Electromagnetic Near-Field Scanning

Uncertainty Quantification in PEEC Method: A Physics-Informed Neural Networks-Based Polynomial Chaos Expansion

Electromagnetic Near-Field Scanning with a Spatially Sparse Sampling Strategy Utilizing Kriging-DMD

A Hybrid Model-Based Data-Driven Framework for the Electromagnetic Near-Field Scanning

An Unsupervised Learning Framework for Determining the Excitation Coefficients Using Near-Field Antenna Measurements

Time-Resolved Electromagnetic Near-Field Scanning: Dual Sparse Sampling in Time and Space

Uncertainty Quantification for PEEC Based on Wasserstein Generative Adversarial Network

Collaborators (4)

Antonios Argyriou

Lixi Huang

Le-Nam Tran

Steven Gao

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