Selected Journal Publications:

 

Yingying Zhu, Simon Lucey,

Convolutional Sparse Coded Filters Nonrigid Structure From Motion,

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.

 

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu,

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases,

IEEE Transaction on Medical Imaging, 2018.

 

Fatemeh Mokhtari, Walter J Rejeski, Yingying Zhu, Guorong Wu, Sean L Simpson, Jonathan H Burdette,

Dynamic fMRI Networks Predict Success in a Behavioral Weight Loss Program among Older Adults,

NeuroImage, 2018.

 

Zhengxia Wang, Xiaofeng Zhu, Yingying Zhu, Minjeong Kim, Daniel Kaufer and Guorong Wu,

Multi-Modal Classification of Neurodegenerative Disease by Progressive Graph-Based Transductive Learning,

Medical Image Analysis, 2017.

 

Yingying Zhu, Jin Yan,

Reconstructing 3D Forest and Tree Mapping in the Wild,

Neurocomputing, 2017.

 

Yonghua Zhu, Xuejun Zhang, RuiliWang, Wei Zheng, Yingying Zhu,

Self-representation and PCA embedding for unsupervised feature selection,

World Wide Web: Internet and Web Information Systems ( WWW), 2017.

 

Selected Conference Publications:

 

Yingying Zhu, Mert R. Sabuncu,

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome,

Medical Image Computing and Computer-Assisted Intervention (MICCAI) workshop, 2018.
 

YingyingZhu, Minjeong Kim, Daniel Kaufer and Guorong Wu,

Personalized Diagnosis Model for brain disorders,

Medical Image Computing and Computer-Assisted Intervention (MICCAI)2017.
 

Yingying Zhu, Daniel Kaufer and GuorongWu,

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity,

International Conference on Information Processing in Medical Imaging (IPMI)2017.


Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, GuorongWu,

A Novel Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neuro-Diseases,

International Conference on Information Processing in Medical Imaging (IPMI)2017.
 

Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen and Guorong Wu,

Early Detection of Alzheimer’s Disease by Jointly Feature Selection and Structural Support Vector Machine,

Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2016, Oral, accept rate < 4.5%
 

Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, and GuorongWu, 

Reveal the brain connectivity dynamics for the Autism identification using fMRI Images, 

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016.

 

Yingying Zhu, Fernando De La Torre, and Simon Lucey,

Complex Nonrigid Motion 3D Reconstruction by Union of Subspaces,

Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
 

Yingying Zhu, Jack Valmadre and Simon Lucey,

Camera-less Articulated Trajectory Reconstruction,

International Conference on Pattern Recognition (ICPR), 2012.
 

Jack Valmadre, Yingying Zhu and Simon Lucey,

Dynamic Filter Articulated Structure Motion Reconstruction,

European Conference on Computer Vision (ECCV), 2012.
 

Yingying Zhu, Mark Cox and Simon Lucey,

3D Motion Reconstruction for Real-World Camera Motion,

Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

ZhengxiaWang, Xiaofeng Zhu, Ehsan Adeli , Yingying Zhu , Dinggang Shen and Guorong Wu,

Progressive Graph-Based Transductive Learning for Multi-Modal Classification of Alzheimer’s Disease,

Medical Image Computing and Computer-Assisted Intervention (MICCAI)2016.
 

Chen Zu, Yue Gao, Brent Munsell, Minjeong Kim, Ziwen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen,

GuorongWu,

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph,

Medical Image Computing and Computer-Assisted Intervention (MICCAI) Workshop on Machine Learning in Medical Imaging (MLMI 2016), 2016.
 

Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang  Shen,

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis,

Medical Image Computing and Computer-Assisted Intervention (MICCAI) Workshop on Machine Learning in Medical Imaging (MLMI 2016), 2016.
 

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