Shuheng Zhang

Orcid: 0000-0002-8900-8193

According to our database1, Shuheng Zhang authored at least 13 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology.
Sensors, 2022

Community Education Knowledge Graph Based on Co-Occurrence Analysis and Log-Likelihood Ratio Algorithm.
Proceedings of the 11th International Conference on Software and Information Engineering, 2022

UAV Swarm Type Recognition Algorithm Based on Dual-Domain Fusion Features and Feature Selection.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Waveform Recognition of UAV Swarm Communication in Multipath Channel.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Simultaneous Head and Spine MR Imaging in Children Using a Dedicated Multichannel Receiver System at 3T.
IEEE Trans. Biomed. Eng., 2021

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction.
CoRR, 2021

An Improved RRT*-Based Real-Time Path Planning Algorithm for UAV.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Level set based shape prior and deep learning for image segmentation.
IET Image Process., 2020

2018
Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2012
Using the K-Nearest Neighbor Algorithm for the Classification of Lymph Node Metastasis in Gastric Cancer.
Comput. Math. Methods Medicine, 2012

2011
Lesion detection of gastroscopic images based on cost-sensitive boosting.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Discrimination between Benign and Malignant Breast Cancers in Ultrasound Images Based on Cost-Sensitive Boosting.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011


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