DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2025
Advancing MRI segmentation with CLIP-driven semi-supervised learning and semantic alignment.
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Neurocomputing, 2025
Lightweight expression recognition combined attention fusion network with hybrid knowledge distillation for occluded e-learner facial images.
Neurocomputing, 2025
Nonparametric Inference under B-bits Quantization.
J. Mach. Learn. Res., 2024
Gradient is All You Need: Gradient-Based Attention Fusion for Infrared Small Target Detection.
CoRR, 2024
IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer.
Comput. Methods Programs Biomed., 2024
Semi-Supervised Medical Image Segmentation with Cross-View Consistency and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks.
Neurocomputing, June, 2023
Deep Learning for Efficient GWAS Feature Selection.
CoRR, 2023
On the Confidence Intervals in Bioequivalence Studies.
CoRR, 2023
Semiparametric Regression for Spatial Data via Deep Learning.
CoRR, 2023
Variable selection for nonlinear Cox regression model via deep learning.
CoRR, 2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks.
CoRR, 2022
Analytic evaluation of the fractional moments for the quasi-stationary distribution of the Shiryaev martingale on an interval.
Commun. Stat. Simul. Comput., 2021
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks.
CoRR, 2021
Unfolded/tightened mechanism series support design based on characteristics of flying snake spine.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014