Kang Yu

ORCID: 0000-0001-7457-8516
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Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Glaucoma and retinal disorders
  • Data Stream Mining Techniques
  • Visual perception and processing mechanisms
  • Anesthesia and Sedative Agents
  • Anomaly Detection Techniques and Applications
  • Ocular Surface and Contact Lens
  • Retinal Diseases and Treatments
  • Ophthalmology and Visual Impairment Studies
  • Olfactory and Sensory Function Studies
  • Wound Healing and Treatments
  • EEG and Brain-Computer Interfaces
  • Circular RNAs in diseases
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Nerve injury and regeneration
  • Optical Imaging and Spectroscopy Techniques
  • Hepatocellular Carcinoma Treatment and Prognosis
  • MicroRNA in disease regulation
  • Anesthesia and Neurotoxicity Research
  • Context-Aware Activity Recognition Systems
  • Photosynthetic Processes and Mechanisms
  • Air Quality Monitoring and Forecasting
  • Mesenchymal stem cell research

Wuhan University of Technology
2023

Beijing Shijitan Hospital
2023

Capital Medical University
2023

Xinjiang University
2022

First Affiliated Hospital of Nanchang University
2020-2021

Nanchang University
2020-2021

Union Hospital
2019

Huazhong University of Science and Technology
2019

We introduce OmniRL, a highly generalizable in-context reinforcement learning (ICRL) model that is meta-trained on hundreds of thousands diverse tasks. These tasks are procedurally generated by randomizing state transitions and rewards within Markov Decision Processes. To facilitate this extensive meta-training, we propose two key innovations: 1. An efficient data synthesis pipeline for ICRL, which leverages the interaction histories behavior policies; 2. A novel modeling framework...

10.48550/arxiv.2502.02869 preprint EN arXiv (Cornell University) 2025-02-04

BACKGROUND:The aim of this study was to explore potential changes in brain function network activity patients with adult strabismus amblyopia (SA) using the voxel-wise degree centrality (DC) method. MATERIAL AND METHODS:We enrolled 15 SA (6 males, 9 females) and sex-matched healthy controls (HCs). All subjects completed resting functional magnetic resonance imaging scans. Independent-sample t tests receiver operating characteristic (ROC) curves were used assess DC value differences between...

10.12659/msm.925856 article EN Medical Science Monitor 2020-11-12

Strabismus (STR) is a common eye disease characterized by abnormal movements and stereo vision. Neuroimaging studies have revealed that STR patients impaired functional connectivity (FC) in the visual cortex sensorimotor cortex.To investigate alterations FC connections within between subnetworks of network (VN), (SMN), default mode (DMN) with STR.A total 32 (24 men, 8 women) age- sex-matched healthy controls (HCs) were recruited. Participants underwent resting-state magnetic resonance...

10.1177/0284185120983978 article EN Acta Radiologica 2021-01-10

BACKGROUND:We used fractional amplitude of low-frequency fluctuation (fALFF) technology to investigate spontaneous cerebral activity in patients with monocular blindness (MB) and healthy controls (HCs). MATERIAL AND METHODS:Thirty MB patient 15 HCs were included this study. All subjects scanned by resting-state functional magnetic resonance imaging (rs-fMRI). The independent sample t test chi-squared applied analyze demographics HCs. 2-sample receiver operating characteristic (ROC) curves...

10.12659/msm.926224 article EN Medical Science Monitor 2020-08-10

Abstract This study investigated neurologic changes in patients with dry eye (DE) by functional magnetic resonance imaging (fMRI) and to used regional homogeneity (ReHo) analysis clarify the relationship between these clinical features of DE. A total 28 DE matched healthy control (HC) subjects (10 males 18 females each group) were enrolled. fMRI scans performed both groups. We carried out ReHo assess differences neural activity 2 groups, receiver operating characteristic curve (ROC) was...

10.1038/s41598-021-92199-8 article EN cc-by Scientific Reports 2021-06-21

Background The neurotoxicity effects of anesthetic exposure on the developing brain have been one current research hotspots and numerous articles were published in past decades. However, quality comparative information these not reported. This aimed to provide a comprehensive overview state field by investigating publication trends concerning anesthesia brain. Materials methods On 15 June 2022, we searched through Science Citation Index databases from 2002 2021. Data author, title,...

10.3389/fneur.2023.1185900 article EN cc-by Frontiers in Neurology 2023-04-27

Abstract Invasive ductal carcinoma (IDC) is a major type of breast cancer. Ocular metastasis (OM) in IDC rarely seen, but patients with OM often have poor prognosis. Furthermore, difficult to detect the early stages by common imaging examinations. In present study, we tried figure out risk factors and evaluate their diagnostic values for detection. There were 1192 who divided into two groups according ocular involved this study. Clinical parameters those used differences. The binary logistic...

10.1002/cam4.3656 article EN cc-by Cancer Medicine 2020-12-18

Background In rare instances, primary liver cancer can be associated with intraocular metastasis (IOM). Aim To investigate the correlation between a diverse range of clinical characteristics and IOM in diabetic patients cancer, to determine potential risk factors predicting IOM. Methods We recruited total 722 cancer. The differences non-intraocular (NIOM) groups these were assessed using chi-squared test Student's t-test. Binary logistic regression analysis was subsequently used factors....

10.4239/wjd.v12.i2.158 article EN World Journal of Diabetes 2021-01-23

Visible light stimulates by itself ethanol bioproduction from CO 2 acetogens via O -independent photoexcitation stress.

10.1039/d3se00048f article EN Sustainable Energy & Fuels 2023-01-01

Under the condition of modern information technology, scale battlefield electromagnetic increases exponentially, which makes environment more complex, and brings great opportunities challenges to development anomaly detection algorithms in complex environment. Since research this field is still its infancy work system not strong, paper sorted out analyzed relevant literatures at home abroad, summarized traditional methods deep learning respectively according different algorithms. At same...

10.1117/12.2636922 article EN 2022-04-29
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