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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Timeline

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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

A Privacy-Preserving Trajectory Mining Model.
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

Public Transit Prediction During COVID-19 Pandemic.
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

Deep Leakage from Gradients in Multiple-label Medical Image Classification.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Automated Generation of Accurate & Fluent Medical X-ray Reports.
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
Editorial special issue on multiple-task learning for big data.
Pattern Recognit. Lett., 2020

Convolutional Sparse Coded Dynamic Brain Functional Connectivity.
Neural Process. Lett., 2020

2019
Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Self-representation and PCA embedding for unsupervised feature selection.
World Wide Web, 2018

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults.
NeuroImage, 2018

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome.
CoRR, 2018

A Bayesian Disease Progression Model for Clinical Trajectories.
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

Personalized Diagnosis for Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity.
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
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
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
Convolutional Sparse Coding for Trajectory Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
Nonrigid structure from motion in space and time
PhD thesis, 2014

Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
Camera-less articulated trajectory reconstruction.
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
3D motion reconstruction for real-world camera motion.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


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