Yingying Zhu
Affiliations:- University of Texas at Arlington, Department of Computer Science, TX, USA
- University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- Cornell University, Schools of ECE and BME, Ithaca, USA
- University of Queensland, Australia (PhD)
According to our database1,
Yingying Zhu
authored at least 35 papers
between 2011 and 2024.
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Bibliography
2024
The q-gradient LMS spline adaptive filtering algorithm and its variable step-size variant.
Inf. Sci., February, 2024
2023
Spline Adaptive Filtering Algorithm-based Generalized Maximum Correntropy and its Application to Nonlinear Active Noise Control.
Circuits Syst. Signal Process., November, 2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples.
Comput. Geosci., 2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images.
CoRR, 2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 8th IEEE Intl Conference on Big Data Security on Cloud, 2022
2021
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data.
Medical Image Anal., 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Pattern Recognit. Lett., 2020
Neural Process. Lett., 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
World Wide Web, 2018
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults.
NeuroImage, 2018
CoRR, 2018
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
2017
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters.
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011