Xin Zhang
Orcid: 0009-0008-1450-7052Affiliations:
- Chongqing Normal University, Chongqing, China
According to our database1,
Xin Zhang authored at least 16 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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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
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
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
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
CoRR, 2023