Xiaoyan Zhang

ORCID: 0000-0002-2952-978X
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Research Areas
  • Extracellular vesicles in disease
  • MicroRNA in disease regulation
  • Circular RNAs in diseases
  • Heart Rate Variability and Autonomic Control
  • Geotechnical Engineering and Analysis
  • Blood Pressure and Hypertension Studies
  • Insect Resistance and Genetics
  • Radar Systems and Signal Processing
  • Plant and Fungal Interactions Research
  • Forest ecology and management
  • Hedgehog Signaling Pathway Studies
  • Genetic factors in colorectal cancer
  • Immunotherapy and Immune Responses
  • Cardiovascular Health and Disease Prevention
  • Dam Engineering and Safety
  • Geotechnical Engineering and Soil Stabilization
  • Digital Media Forensic Detection
  • Bioenergy crop production and management
  • Advanced Image and Video Retrieval Techniques
  • Phytochemical compounds biological activities
  • Wireless Signal Modulation Classification
  • Genetic and phenotypic traits in livestock
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification

Chinese Academy of Medical Sciences & Peking Union Medical College
2025

Kunming University of Science and Technology
2023

Northeast Forestry University
2023

Shandong Academy of Forestry
2022

Chongqing Medical University
2020

ORCID
2020

The Affiliated Yongchuan Hospital of Chongqing Medical University
2020

Shanghai Public Health Clinical Center
2016

First Affiliated Hospital of Sichuan Medical University
2014

Southwest Medical University
2014

In this paper, we study the semi-supervised semantic segmentation problem via limited labeled samples and a large number of unlabeled samples. We propose self-learning approach for high-resolution remote sensing images. Our uses two networks (UNet DeepLabV3) to predict labels same sample, pseudo with high prediction consistency are added training improve accuracy under condition method expands data by using labels. order verify effectiveness proposed method, some experiments were conducted...

10.3390/electronics12020348 article EN Electronics 2023-01-09

Abstract Background The relationship between high-normal blood pressure (BP) and mortality lacks high-quality evidence based on large population cohorts. This study aims to comprehensively investigate the association of BP its trajectory with all-cause cause-specific mortality. Methods In this community-based cohort from China Health Evaluation And risk Reduction Through nationwide teamwork (ChinaHEART) project, 3,598,940 participants aged 35–75 years data for baseline were included....

10.1186/s12916-025-04055-5 article EN cc-by BMC Medicine 2025-04-16

The finite element method (FEM) and the limit equilibrium (LEM) are commonly used for calculating slope failure risk. However, FEM needs to carry out post-processing estimate sliding surface, while LEM requires assumption of shape location surface in advance. In this paper, an risk (EFR) soil is proposed based on probability (EFP) acquired by plastic analysis. does not require any assumptions about modes. Firstly, non-common-node triangle discrete then random field generated Cholesky...

10.3390/app13084806 article EN cc-by Applied Sciences 2023-04-11

In temperate and subtropical climates, Populus deltoides is an important poplar species. To analyze the stability, adaptability, high yield of P. hybrid genotypes in East China, 38 were screened at three experimental sites Shandong Province, coefficients variation genetic characteristics 5-year growth examined using BLUP-GGE. Results showed that all variance higher for diameter breast height (DBH) than tree sites; repeatability heritability greater those DBH sites. The fitting degree was...

10.3390/f13111808 article EN Forests 2022-10-30

Signal modulation waveform recognition is one of the key technologies in field spatial spectrum cognition and an important means to realize monitoring control resources low-orbit satellites. In view problems large number parameters high computational complexity current methods based on deep learning, a lightweight signal method space-time fusion network (STF-Net) proposed. The preprocessed into dual-channel data form time domain frequency domain, features are extracted feature redundancy...

10.59782/sidr.v5i1.89 article EN cc-by-nc-nd Scientific insights and discoveries review 2024-10-14

Abstract Background: Neurodegenerative diseases, caused by the loss of neurons or myelin sheath, are some most important neurological diseases that threaten health elderly. In CNS, oligodendrocytes (OLs) only cells can form myelin. Astrocytes (ASTs) play a generally beneficial role in remyelination, including proliferation and differentiation oligodendrocyte precursor (OPCs) to OLs. However, specific downstream mechanism is unclear. Methods: This study investigated OPCs mono-culture, culture...

10.21203/rs.3.rs-108120/v1 preprint EN cc-by Research Square (Research Square) 2020-11-19

Abstract Background: Neurodegenerative diseases, caused by the loss of neurons or myelin sheath, are some most important neurological diseases that threaten health elderly. In CNS, oligodendrocytes (OLs) only cells can form myelin. Astrocytes (ASTs) play a generally beneficial role in remyelination, including proliferation and differentiation oligodendrocyte precursor (OPCs) to OLs. However, specific downstream mechanism is unclear. Methods: This study investigated OPCs mono-culture, culture...

10.21203/rs.3.rs-103731/v1 preprint EN cc-by Research Square (Research Square) 2020-11-12
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