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Tong Xin

Lecturer · School of Computing

Newcastle University · United Kingdom
Deep LearningMedical Imaging ProcessingRemote Sensing Image ProcessingGeometric Deep LearningComputer GraphicsFinite Element Method

About

Dr Tong Xin is a Lecturer in Data Science and AI at Newcastle University. His research focuses on image processing using deep learning, with interests in medical imaging, remote sensing, and geometric deep learning. He also works on computer graphics and finite element method optimization.

Education

  • PhD, Newcastle University, UK

Selected publications

  • RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation
  • Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation
  • Bugs and bytes: Entomological biomonitoring through the integration of deep learning and molecular analysis for merged community and network analysis
  • Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
  • Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors
  • Visualizing ordered bivariate data on node-link diagrams
  • Depth-embedded instance segmentation network for urban scene parsing
  • Frequency-aware Adaptive Filtering Network for Few-Shot Medical Image Segmentation
  • Few-shot Medical image segmentation via a region-enhanced prototypical transformer
  • Multi-scale Spatial Transformer Network For Lidar-camera 3D Object Detection

Data verified 9/6/2026Source

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