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Yingying Zhu 0004
Person information
- affiliation: University of Texas at Arlington, Department of Computer Science, TX, USA
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- affiliation: Cornell University, Schools of ECE and BME, Ithaca, USA
- affiliation (PhD): University of Queensland, Australia
Other persons with the same name
- Yingying Zhu — disambiguation page
- Yingying Zhu 0001
— Shenzhen University, College of Computer Science and Software Engineering, China
- Yingying Zhu 0002 — University of California, Riverside, CA, USA
- Yingying Zhu 0003
- Yingying Zhu 0005
- Yingying Zhu 0006 — Southwest Jiaotong University, Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, School of Electrical Engineering, Chengdu, China
- Yingying Zhu 0007 — Wuhan University of Science and Technology, Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, China
- Yingying Zhu 0008 — Nanjing University, School of Management Science and Engineering, China
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2020 – today
- 2024
- [j10]Yuan Gao, Haiquan Zhao, Yingying Zhu, Jingwei Lou:
The q-gradient LMS spline adaptive filtering algorithm and its variable step-size variant. Inf. Sci. 658: 119983 (2024) - 2023
- [j9]Yuan Gao, Haiquan Zhao
Spline Adaptive Filtering Algorithm-based Generalized Maximum Correntropy and its Application to Nonlinear Active Noise Control. Circuits Syst. Signal Process. 42(11): 6636-6659 (2023) - [c21]Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu:
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User. AAAI 2023: 14646-14654 - [c20]Ziyang Wang, Sissi Xiaoxiao Wu, Junjie Zhu, Yingying Zhu:
A Privacy-Preserving Trajectory Mining Model. ICASSP 2023: 1-5 - [i6]Xinyue Hu, Lin Gu, Kazuma Kobayashi, Qiyuan An, Qingyu Chen, Zhiyong Lu, Chang Su, Tatsuya Harada, Yingying Zhu:
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning. CoRR abs/2302.09636 (2023) - 2022
- [j8]Binqian Yin
Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples. Comput. Geosci. 168: 105218 (2022) - [c19]Joshua Smith, Yingying Zhu, Zheng Li:
Public Transit Prediction During COVID-19 Pandemic. BigDataSecurity/HPSC/IDS 2022: 92-94 - [c18]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. ECCV (9) 2022: 473-491 - [i5]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada:
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. CoRR abs/2201.02314 (2022) - [i4]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. CoRR abs/2208.03062 (2022) - 2021
- [j7]Yingying Zhu, Minjeong Kim
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. Medical Image Anal. 67: 101825 (2021) - [c17]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. BMVC 2021: 365 - [c16]Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng:
Automated Generation of Accurate & Fluent Medical X-ray Reports. EMNLP (1) 2021: 3552-3569 - [c15]Zheng Li, Mykola Hubchak, Yingying Zhu:
Deep Leakage from Gradients in Multiple-label Medical Image Classification. ICHI 2021: 447-448 - [i3]Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng:
Automated Generation of Accurate & Fluent Medical X-ray Reports. CoRR abs/2108.12126 (2021) - [i2]Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. CoRR abs/2112.01034 (2021) - 2020
- [j6]Jin Yan, Yingying Zhu:
Convolutional Sparse Coded Dynamic Brain Functional Connectivity. Neural Process. Lett. 52(3): 1881-1892 (2020) - [j5]Yingying Zhu, Qing Xie, Kim-Han Thung:
Editorial special issue on multiple-task learning for big data. Pattern Recognit. Lett. 132: 1-3 (2020)
2010 – 2019
- 2019
- [c14]Yingying Zhu, Jodi M. Gilman
Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS. MICCAI (5) 2019: 146-154 - 2018
- [j4]Fatemeh Mokhtari, Walter Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L. Simpson, Jonathan H. Burdette, Paul J. Laurienti:
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. NeuroImage 173: 421-433 (2018) - [j3]Yonghua Zhu, Xuejun Zhang, Ruili Wang, Wei Zheng, Yingying Zhu:
Self-representation and PCA embedding for unsupervised feature selection. World Wide Web 21(6): 1675-1688 (2018) - [c13]Yingying Zhu, Mert R. Sabuncu:
A Bayesian Disease Progression Model for Clinical Trajectories. GRAIL/Beyond-MIC@MICCAI 2018: 57-65 - [i1]Yingying Zhu, Mert R. Sabuncu:
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome. CoRR abs/1803.05011 (2018) - 2017
- [j2]Zhengxia Wang, Xiaofeng Zhu
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39: 218-230 (2017) - [c12]Yingying Zhu, Xiaofeng Zhu
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. IPMI 2017: 158-169 - [c11]Yingying Zhu, Xiaofeng Zhu
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. IPMI 2017: 398-410 - [c10]Yingying Zhu, Minjeong Kim, Xiaofeng Zhu
Personalized Diagnosis for Alzheimer's Disease. MICCAI (3) 2017: 205-213 - 2016
- [c9]Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu:
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI 2016: 1-9 - [c8]Xiaofeng Zhu
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI 2016: 77-85 - [c7]Yingying Zhu, Xiaofeng Zhu
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) 2016: 106-114 - [c6]Yingying Zhu, Xiaofeng Zhu
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. MICCAI (1) 2016: 264-272 - [c5]Zhengxia Wang, Xiaofeng Zhu
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - 2015
- [j1]Yingying Zhu, Simon Lucey
Convolutional Sparse Coding for Trajectory Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 529-540 (2015) - 2014
- [b1]Yingying Zhu:
Nonrigid structure from motion in space and time. University of Queensland, Australia, 2014 - [c4]Yingying Zhu, Dong Huang, Fernando De la Torre, Simon Lucey
Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces. CVPR 2014: 1542-1549 - 2012
- [c3]Jack Valmadre
Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters. ECCV (1) 2012: 72-85 - [c2]Yingying Zhu, Jack Valmadre, Simon Lucey:
Camera-less articulated trajectory reconstruction. ICPR 2012: 841-844 - 2011
- [c1]Yingying Zhu, Mark Cox
3D motion reconstruction for real-world camera motion. CVPR 2011: 1-8
Coauthor Index
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last updated on 2024-12-23 20:31 CET by the dblp team
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