Xin Zhang

Orcid: 0009-0008-1450-7052

Affiliations:
  • Chongqing Normal University, Chongqing, China


According to our database1, Xin Zhang authored at least 16 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Scan-Invariant Mamba With Differentiated Sequence Contrastive Learning in Computational Pathology.
IEEE Trans. Medical Imaging, June, 2026

BA-YOLO: a balanced object detector based on lightweight convolution and attention mechanism for remote sensing images.
Int. J. Mach. Learn. Cybern., March, 2026

MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification.
CoRR, February, 2026

RFAConv: Receptive-field attention convolution for improving convolutional neural networks.
Pattern Recognit., 2026

Lml-yolo: Composite enhanced YOLO object detection model for underwater complex environments.
J. King Saud Univ. Comput. Inf. Sci., 2026

MA-YOLO: Enhanced multi-scale attentional remote sensing detector.
Digit. Signal Process., 2026

2025
UES-YOLO: Underwater biological detection based on YOLO with an efficient sampling block.
Signal Image Video Process., November, 2025

A lightweight object detector based on changeable-size lightweight convolution and context augmentation module for images captured by UAVs.
Vis. Comput., June, 2025

YOLO-SSP: an object detection model based on pyramid spatial attention and improved downsampling strategy for remote sensing images.
Vis. Comput., February, 2025

Semantic Guided Dual-Branch Co-inference for Few-Shot 3D Point Cloud Classification.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024
Improved YOLOv7 models based on modulated deformable convolution and swin transformer for object detection in fisheye images.
Image Vis. Comput., 2024

LDConv: Linear deformable convolution for improving convolutional neural networks.
Image Vis. Comput., 2024

2023
Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs.
Image Vis. Comput., December, 2023

Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine Learning Models.
ISPRS Int. J. Geo Inf., 2023

AKConv: Convolutional Kernel with Arbitrary Sampled Shapes and Arbitrary Number of Parameters.
CoRR, 2023

RFAConv: Innovating Spatial Attention and Standard Convolutional Operation.
CoRR, 2023


  Loading...