Zhijie Li

ORCID: 0000-0003-4362-5652
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Geophysical Methods and Applications
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced Vision and Imaging
  • COVID-19 diagnosis using AI
  • Genetic Mapping and Diversity in Plants and Animals
  • Advanced SAR Imaging Techniques
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Neural Network Applications
  • Chromosomal and Genetic Variations
  • Liver Disease Diagnosis and Treatment
  • Infrastructure Maintenance and Monitoring
  • Domain Adaptation and Few-Shot Learning
  • Genomics and Phylogenetic Studies
  • Non-Destructive Testing Techniques
  • Remote-Sensing Image Classification

Xi'an University of Architecture and Technology
2025

BGI Group (China)
2001

Chinese Academy of Sciences
2001

Beijing Institute of Genomics
2001

The advancement of Transformer models in computer vision has rapidly spurred numerous Transformer-based object detection approaches, such as DEtection TRansformer. Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limiting its efficacy small where noise can easily obscure or confuse targets. To address these issues, we propose Fuzzy System DNN-DETR involving two key modules: Adapter Encoder and Denoising...

10.3390/math13020287 article EN cc-by Mathematics 2025-01-17

Background & Aims: Somatic and germline CIDEB mutations are associated with protection from chronic liver diseases. The mechanistic basis whether suppression would be an effective therapy against fatty disease remain unclear. Methods: 21 somatic were introduced into cells to assess functionality. In vivo screening was used trace Cideb mutant clones in mice fed normal chow, western (WD), choline-deficient, L-amino acid-defined, high-fat (CDA-HFD) diets. Constitutive conditional knockout...

10.1101/2025.04.01.646492 preprint EN cc-by-nc-nd 2025-04-06
Coming Soon ...