Chao Li

ORCID: 0000-0003-3067-0630
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About
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Research Areas
  • Vehicle License Plate Recognition
  • Video Surveillance and Tracking Methods
  • Dyeing and Modifying Textile Fibers
  • Color Science and Applications
  • Single-cell and spatial transcriptomics
  • Advanced Neural Network Applications
  • Gene expression and cancer classification

Anhui University of Finance and Economics
2024

Hebei University of Architecture
2023

Object detection and recognition of road scenes are crucial tasks the autonomous driving environmental perception system. The low inference speed accuracy in object models hinder development technology. Searching for improvement is still a challenging task. For solving these problems, we proposed an MCS-YOLO algorithm. Firstly, coordinate attention module inserted into backbone to aggregate feature map's spatial cross-channel information. Then, designed multiscale small structure improve...

10.1109/access.2023.3252021 article EN cc-by-nc-nd IEEE Access 2023-01-01

ABSTRACT Spatial transcriptomics (ST) technologies have emerged as an effective tool to identify the spatial architecture of tissue, facilitating a comprehensive understanding organ function and tissue microenvironment. domain identification is first most critical step in ST data analysis, which requires thoughtful utilization microenvironment morphological priors. To this end, we propose graph contrastive learning framework, GRAS4T, combines subspace module accurately distinguish different...

10.1101/2024.05.09.593192 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-05-10
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