3D motion reconstruction for real-world camera motion. - Yingying Zhu 004; Mark Cox; Simon Lucey (CVPR, 2011)

Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters. - Jack Valmadre; Yingying Zhu 004; Sridha Sridharan; Simon Lucey (ECCV (1), 2012)

Camera-less articulated trajectory reconstruction. - Yingying Zhu 004; Jack Valmadre; Simon Lucey (ICPR, 2012)

Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces. - Yingying Zhu 004; Dong Huang 007; Fernando De la Torre; Simon Lucey (CVPR, 2014)

Nonrigid structure from motion in space and time - Yingying Zhu 004 (2014)

Convolutional Sparse Coding for Trajectory Reconstruction. - Yingying Zhu 004; Simon Lucey (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Chen Zu; Feiping Nie 001; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. - Xiaofeng Zhu 001; Heung-Il Suk; Kim-Han Thung; Yingying Zhu 004; Guorong Wu 001; Dinggang Shen (MLMI@MICCAI, 2016)

Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. - Yingying Zhu 004; Xiaofeng Zhu 001; Minjeong Kim; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. - Yingying Zhu 004; Xiaofeng Zhu 001; Han Zhang 002; Wei Gao; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. - Chen Zu; Yue Gao 002; Brent C. Munsell; Minjeong Kim; Zi-Wen Peng; Yingying Zhu 004; Wei Gao; Daoqiang Zhang; Dinggang Shen; Guorong Wu 001 (MLMI@MICCAI, 2016)

A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. - Yingying Zhu 004; Xiaofeng Zhu 001; Minjeong Kim; Daniel Kaufer; Guorong Wu 001 (IPMI, 2017)

A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. - Yingying Zhu 004; Xiaofeng Zhu 001; Minjeong Kim; Jin Yan; Guorong Wu 001 (IPMI, 2017)

Personalized Diagnosis for Alzheimer's Disease. - Yingying Zhu 004; Minjeong Kim; Xiaofeng Zhu 001; Jin Yan; Daniel Kaufer; Guorong Wu 001 (MICCAI (3), 2017)

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. - Zhengxia Wang; Xiaofeng Zhu 001; Ehsan Adeli 001; Yingying Zhu 004; Feiping Nie 001; Brent C. Munsell; Guorong Wu 001 (Medical Image Anal., 2017)

A Bayesian Disease Progression Model for Clinical Trajectories. - Yingying Zhu 004; Mert R. Sabuncu (GRAIL/Beyond-MIC@MICCAI, 2018)

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome. - Yingying Zhu 004; Mert R. Sabuncu (CoRR, 2018)

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. - Fatemeh Mokhtari; Walter Jack Rejeski; Yingying Zhu 004; Guorong Wu 001; Sean L. Simpson; Jonathan H. Burdette; Paul J. Laurienti (NeuroImage, 2018)

Self-representation and PCA embedding for unsupervised feature selection. - Yonghua Zhu; Xuejun Zhang; Ruili Wang; Wei Zheng; Yingying Zhu 004 (World Wide Web, 2018)

Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS. - Yingying Zhu 004; Jodi M. Gilman; Anne Eden Evins; Mert R. Sabuncu (MICCAI (5), 2019)

Convolutional Sparse Coded Dynamic Brain Functional Connectivity. - Jin Yan; Yingying Zhu 004 (Neural Process. Lett., 2020)

Editorial special issue on multiple-task learning for big data. - Yingying Zhu 004; Qing Xie 002; Kim-Han Thung (Pattern Recognit. Lett., 2020)

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. - Yifei Huang 002; Xiaoxiao Li; Lijin Yang; Lin Gu 003; Yingying Zhu 004; Hirofumi Seo; Qiuming Meng; Tatsuya Harada; Yoichi Sato 001 (BMVC, 2021)

Automated Generation of Accurate & Fluent Medical X-ray Reports. - Hoang T. N. Nguyen; Dong Nie; Taivanbat Badamdorj; Yujie Liu; Yingying Zhu 004; Jason Truong; Li Cheng (EMNLP (1), 2021)

Deep Leakage from Gradients in Multiple-label Medical Image Classification. - Zheng Li; Mykola Hubchak; Yingying Zhu 004 (ICHI, 2021)

Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. - Yingying Zhu 004; Minjeong Kim; Xiaofeng Zhu 001; Daniel Kaufer; Guorong Wu 001 (Medical Image Anal., 2021)

Public Transit Prediction During COVID-19 Pandemic. - Joshua Smith; Yingying Zhu 004; Zheng Li (BigDataSecurity/HPSC/IDS, 2022)

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Renrui Zhang; Zenghui Zhang; Tatsuya Harada (ECCV (9), 2022)

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Peng Gao 007; Zenghui Zhang; Tatsuya Harada (CoRR, 2022)

Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples. - Binqian Yin; Qinhong Hu; Yingying Zhu 004; Chen Zhao; Keren Zhou 001 (Comput. Geosci., 2022)

Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study. - Qiyuan An; Rafe McBeth; Houliang Zhou; Bryan Lawlor; Dan Nguyen; Steve B. Jiang; Mark S. Link; Yingying Zhu 004 (Sensors, 2022)

People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. - Junjie Zhu; Lin Gu 003; Xiaoxiao Wu; Zheng Li; Tatsuya Harada; Yingying Zhu 004 (AAAI, 2023)

A Privacy-Preserving Trajectory Mining Model. - Ziyang Wang; Sissi Xiaoxiao Wu; Junjie Zhu; Yingying Zhu 004 (ICASSP, 2023)

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Qiyuan An; Qingyu Chen 001; Zhiyong Lu; Chang Su 002; Tatsuya Harada; Yingying Zhu 004 (CoRR, 2023)

Dual frame-level and region-level alignment for unsupervised video domain adaptation. - Xinyue Hu 002; Yingying Zhu 004 (Neurocomputing, 2023)

Defender of privacy and fairness: Tiny but reversible generative model via mutually collaborative knowledge distillation. - Sissi Xiaoxiao Wu; Zehong Huang; Zhicong Liang; Lin Gu 003; Tatsuya Harada; Zheng Li; Yingying Zhu 004 (Neurocomputing, 2025)

A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Yan Yan; Ronald M. Summers; Yingying Zhu 004 (IEEE Trans. Medical Imaging, 2025)