Xiao Liu

ORCID: 0000-0003-1270-6302
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About
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Research Areas
  • Domain Adaptation and Few-Shot Learning
  • Color Science and Applications
  • Greenhouse Technology and Climate Control
  • Plant Physiology and Cultivation Studies
  • Color perception and design
  • Natural Language Processing Techniques
  • COVID-19 diagnosis using AI
  • Machine Learning in Healthcare
  • Visual perception and processing mechanisms
  • Artificial Intelligence in Healthcare and Education
  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Handwritten Text Recognition Techniques
  • Light effects on plants
  • Multimodal Machine Learning Applications
  • Image Processing and 3D Reconstruction
  • Advanced Neural Network Applications

Chongqing University of Technology
2024

University of Edinburgh
2022-2024

Harbin Engineering University
2016

Deep learning models often need sufficient supervision (i.e. labelled data) in order to be trained effectively. By contrast, humans can swiftly learn identify important anatomy medical images like MRI and CT scans, with minimal guidance. This recognition capability easily generalises new from different facilities tasks settings. rapid generalisable ability is largely due the compositional structure of image patterns human brain, which are not well represented current models. In this paper,...

10.1109/tmi.2024.3358955 article EN IEEE Transactions on Medical Imaging 2024-01-26

The ancient Yi script has been used for over 8000 years, which can be ranked with Oracle,Sumerian,Egyptian,Mayan and Harappan,and is one of the six scripts in world. In this article, we collected 2922 handwritten single word samples commonly characters. Each character was written by 310 people respectively, a total 427,939 valid We completed continuous text sampling, 250 people, 5 texts per person, covering topics such as astronomy, geography, rituals, agriculture. process data collection,...

10.1038/s41597-024-03918-5 article EN cc-by-nc-nd Scientific Data 2024-10-30

Abstract In this study, two psychophysical experiments, colour‐difference assessment and colour‐appearance estimation, were conducted to investigate the perceived quality of four CIE illuminant simulators, including simulators based on LED light sources. The colour‐differences 30 metameric pairs, seen under different evaluated by 10 colour‐normal observers using gray scale method colour appearance inconstant sample in each pair assessed a magnitude estimation method. Colorimetric measures...

10.1002/col.22098 article EN Color Research & Application 2016-11-11
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