Huihui Yu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
IEEE Trans. Medical Imaging, May, 2026
Hierarchical prediction of irregular multivariate time series from a multi-granularity perspective.
Inf. Process. Manag., 2026
Deep learning-based computer vision for fish behavior recognition in intensive aquaculture: A comprehensive review.
Comput. Sci. Rev., 2026
Ultrahigh thermal-stable p-type WSe2 transistors with silicon processing-compatible metal-semiconductor contacts.
Sci. China Inf. Sci., 2026
3D-NoduleNet: A comprehensive framework for benign and malignant pulmonary nodule classification.
Appl. Soft Comput., 2026
2025
A review of deep learning-based stereo vision techniques for phenotype feature and behavioral analysis of fish in aquaculture.
Artif. Intell. Rev., January, 2025
Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study.
J. Am. Medical Informatics Assoc., 2025
2024
Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges.
IEEE Trans. Ind. Informatics, April, 2024
Pattern Recognit., 2024
SED-RCNN-BE: A SE-Dual channel RCNN network optimized binocular estimation model for automatic size estimation of free swimming fish in aquaculture.
Expert Syst. Appl., 2024
RTHEN: Unsupervised deep homography estimation based on dynamic attention for repetitive texture image stitching.
Displays, 2024
2023
A BlendMask-VoVNetV2 method for quantifying fish school feeding behavior in industrial aquaculture.
Comput. Electron. Agric., August, 2023
Time-Varying BLFs-Based Adaptive Neural Network Finite-Time Command-Filtered Control for Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Neural Process. Lett., 2023
On combining deep features and machine learning for automatic edge pedestrian detection task.
Internet Technol. Lett., 2023
An Automatic Detection and Counting Method for Fish Lateral Line Scales of Underwater Fish Based on Improved YOLOv5.
IEEE Access, 2023