Yixuan Ouyang

ORCID: 0009-0002-2651-140X
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About
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Research Areas
  • Acoustic Wave Resonator Technologies
  • Olfactory and Sensory Function Studies
  • Advancements in Solid Oxide Fuel Cells
  • 2D Materials and Applications
  • Electrocatalysts for Energy Conversion
  • Consumer Attitudes and Food Labeling
  • COVID-19 epidemiological studies
  • Advanced Thermoelectric Materials and Devices
  • Angiogenesis and VEGF in Cancer
  • Treatment of Major Depression
  • Luminescence and Fluorescent Materials
  • Heat Transfer and Optimization
  • Adipokines, Inflammation, and Metabolic Diseases
  • Advanced Fiber Laser Technologies
  • Thermal Radiation and Cooling Technologies
  • Medical Image Segmentation Techniques
  • Image Processing Techniques and Applications
  • Immune responses and vaccinations
  • Nutritional Studies and Diet
  • Fuel Cells and Related Materials
  • Obesity, Physical Activity, Diet
  • Nonlinear Optical Materials Research
  • COVID-19 and Mental Health
  • Advanced Neural Network Applications
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The University of Queensland
2025

Hefei University of Technology
2025

Central South University
2024

National University of Singapore
2024

Huazhong University of Science and Technology
2014

With the advancement of deep learning models nowadays, they have successfully applied in semi-supervised medical image segmentation where there are few annotated images and a large number unlabeled ones. A representative approach this regard is method based on consistency regularization, which improves model training by imposing constraints (perturbations) data. However, perturbations kind methods often artificially designed, may introduce biases unfavorable to handling segmentation. On...

10.1007/s10278-025-01397-7 article EN Deleted Journal 2025-01-22

Triggered by the demand of developing practical metal-organic framework (MOF) based nonlinear optical (NLO) devices, there is a surge research interest in regulation NLO properties MOFs. Strain engineering provides new opportunity to regulate optoelectronic materials and device performance at interface. Here we introduce induction strain field structures constructing bimetallic Zn/Cu-MOFs. The response MOF1-9 with different metal element ratios was characterized near-infrared window....

10.1021/acs.jpclett.4c02915 article EN The Journal of Physical Chemistry Letters 2024-11-27

Abstract Strain engineering constitutes one of the main control knobs for material properties. The material's crystal and band structure can be strongly modified by mechanical strain, thus tailoring electronic photonic properties toward specific applications. However, strain higher‐order nonlinear optical (NLO) processes in crystals characterized in‐plane anisotropy remains mostly unexplored. It is demonstrated that 2D ternary Nb 2 SiTe 4 provide an excellent platform tuning NLO with...

10.1002/adfm.202422428 article EN Advanced Functional Materials 2024-12-26

Objective: This study was designed to analyze the characteristics of novel coronavirus disease 2019 (COVID-19) epidemic in seven clusters city Chenzhou, China, act as a reference for prevention and control COVID-19 epidemic. Methods: The data confirmed cases reported between January 23 February 24, 2020, were obtained from Chenzhou infectious surveillance system. In line with diagnostic criteria Novel Coronavirus Pneumonia Diagnosis Treatment Plan (Sixth Edition, Trial Implementation), 33...

10.19193/0393-6384_2021_4_341 article EN Acta medica Mediterranea/Acta medica mediterranea 2021-01-01
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