Yangyang Wang

ORCID: 0009-0003-7581-9897
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About
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Research Areas
  • Quantum Chromodynamics and Particle Interactions
  • Particle physics theoretical and experimental studies
  • Advanced Antenna and Metasurface Technologies
  • Remote Sensing and Land Use
  • Antenna Design and Analysis
  • High-Energy Particle Collisions Research
  • Geology and Paleoclimatology Research
  • Groundwater and Isotope Geochemistry
  • High-Temperature Coating Behaviors
  • Coal and Its By-products
  • Metal and Thin Film Mechanics
  • Metamaterials and Metasurfaces Applications
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Geochemistry and Elemental Analysis
  • Marine and coastal plant biology
  • Paleontology and Stratigraphy of Fossils
  • Adversarial Robustness in Machine Learning
  • Advanced materials and composites
  • Advanced SAR Imaging Techniques
  • Medical Imaging Techniques and Applications
  • Anomaly Detection Techniques and Applications
  • Full-Duplex Wireless Communications
  • Remote-Sensing Image Classification
  • Advanced ceramic materials synthesis
  • Microwave Engineering and Waveguides

National University of Defense Technology
2019-2025

University of Science and Technology of China
2019-2024

Hefei University of Technology
2022

Sun Yat-sen University
2022

Xiangtan University
2021

NARI Group (China)
2020

Shenyang Aerospace University
2017

China University of Geosciences (Beijing)
2017

Central China Normal University
2011

Land cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land classification, the performance severely constrained due to scarcity of labeled samples and limited domain acceptance models. Recently, emergence Segment Anything Model (SAM) based on vision transformer (VIT) model has brought about revolution in study specific...

10.3390/rs16071150 article EN cc-by Remote Sensing 2024-03-26

The threat posed by adversarial examples (AEs) to deep learning applications has garnered significant attention from the academic community. In response, various defense strategies have been proposed, including example detection. A range of detection algorithms developed differentiate between benign samples and examples. However, accuracy these is significantly influenced characteristics attacks, such as attack type intensity. Furthermore, impact image preprocessing on robustness—a common...

10.3390/s25061770 article EN cc-by Sensors 2025-03-12

The rapid proliferation of Internet Things (IoT) devices has led to an increased need for robust and efficient intrusion detection systems capable identifying mitigating novel threats. Traditional methods often struggle with the scarcity labeled anomaly data, which is highly consequential, particularly in context IoT. In this study, we propose a few-shot learning approach by leveraging Multi-Stage Attention Siamese Network (MASiNet) network traffic based on meta-learning framework. Unlike...

10.1109/jiot.2024.3395629 article EN IEEE Internet of Things Journal 2024-05-17

Optical and Synthetic Aperture Radar (SAR) imagery offers a wealth of complementary information on given target, attributable to the distinct imaging modalities each component image type. Thus, multimodal remote sensing data have been widely used improve land cover classification. However, fully integrating optical SAR is not straightforward due distributions their features. To this end, we propose classification network based feature fusion, i.e., MFFnet. We adopt dual-stream extract...

10.3390/rs16132459 article EN cc-by Remote Sensing 2024-07-04

With the continuous progress of remote sensing technology, a large number airborne and satellite-based polarimetric SAR have been applied in field to provide decision basis for military intelligence, land use, urban planning. Terrain classification PolSAR image has become an important research direction interpretation. In this paper, data Flevoland area Netherlands are selected. First, coherent speckle noise is suppressed by Refined Lee filtering, 68-dimensional polarization features...

10.1109/icceai55464.2022.00089 article EN 2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) 2022-07-01

Abstract Miniaturized single‐/dual‐band bandpass filters (BPFs) are proposed in this paper based on one single grounded square patch (GSP) resonator. The GSP resonator is realized by introducing ring‐shaped metallic vias at the center of a patch. Owing to specific geometry, an additional mode nominated as LC generated, which makes operate below fundamental resonate frequency non‐grounded patch, thus miniaturization has been achieved. In addition, several slots etched serve perturbations and...

10.1002/mop.32793 article EN Microwave and Optical Technology Letters 2021-01-25

The complex and variable ocean environment noise has a very bad influence on the sonar detection signal, which leads to low probability of finding target. adaptive filter can uncertain track change continuously adjust parameters achieve optimal filtering effect. As traditional algorithm disadvantages convergence speed steady-state error, poor effect impulse noise, an step-size LMS is proposed according characteristics underwater sources. results show that converge quickly, maintain small...

10.1109/itnec48623.2020.9084959 article EN 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2020-05-04

Metalens can achieve arbitrary light modulation by controlling the amplitude, phase, and polarization of incident waves have been applied across various fields. This paper presents a color router designed based on metalens, capable effectively separating spectra from visible to near-infrared light. Traditional design methods for meta-lenses require extensive simulations, making them time-consuming. In this study, we propose deep learning network forward prediction broad wavelength range,...

10.3390/nano14231973 article EN cc-by Nanomaterials 2024-12-08

System size is more than a geometrical quantity in relativistic heavy ion collisions; it closely related to evolution process, i.e. different system corresponds and whether QGP produced depends on the size. We propose that should be under same level when comparing measurements from colliding nuclei. The equivalence of peripheral collisions Au-Au central smaller nuclei studied using Monte Carlo method. Comparing transverse overlapping area nuclei, number participant nucleons nucleon-nucleon...

10.1088/1674-1137/35/3/010 article EN Chinese Physics C 2011-03-01

A wideband hybrid decoupling structure for MIMO antennas is presented in this paper. The composed of a suspended array-antenna surface, which consists several reflectors and defected ground with two rectangular slots to reduce the mutual coupling. When utilizing proposed design extremely-closed patch an edge-to-edge distance only 1 mm (0.019 λ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> at 5.65 GHz), simulated results demonstrate...

10.23919/isap47053.2021.9391167 article EN 2022 International Symposium on Antennas and Propagation (ISAP) 2021-01-25
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