Xingjian Zhen

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Rudrasis ChakrabortyLawrence Livermore National LabVerified email at llnl.gov
Vikas SinghUniversity of Wisconsin MadisonVerified email at biostat.wisc.edu
Barbara B BendlinUniversity of Wisconsin-MadisonVerified email at medicine.wisc.edu
Ying ChiDirector of Alibaba DAMO Academy AI Center Healthcare IntelligenceVerified email at alibaba-inc.com
Xian-Sheng Hua (华先胜)(IEEE Fellow)Terminus GroupVerified email at tslsmart.com
Baba C VemuriDistinguished Professor, Dept. of CISE, University of FloridaVerified email at ufl.edu
Chun-Hao YangNational Taiwan UniversityVerified email at ntu.edu.tw
Monami BanerjeePhD Student, University of FloridaVerified email at ufl.edu
Mingwei ShenAmazonVerified email at amazon.com
Nicholas M. VogtGeriatric Medicine Fellow, Harvard Medical SchoolVerified email at mgh.harvard.edu
Zihang MengUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Varun Nagaraj RaoCenter for Information Technology Policy, Princeton UniversityVerified email at princeton.edu
Liu YangGraduate Student, University of Wisconsin, MadisonVerified email at wisc.edu
Seong Jae HwangYonsei UniversityVerified email at yonsei.ac.kr

Xingjian Zhen

Allen Institute for Brain Science

Verified email at wisc.edu - Homepage

Computer Vision Machine learning Medical Imaging Differential Geometry


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Cpr-gcn: Conditional partial-residual graph convolutional network in automated anatomical labeling of coronary arteries H Yang, X Zhen, Y Chi, L Zhang, XS Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	45	2020
A statistical recurrent model on the manifold of symmetric positive definite matrices R Chakraborty, CH Yang, X Zhen, M Banerjee, D Archer, D Vaillancourt, ... Thirty-second Conference on Neural Information Processing Systems, 2018	39	2018
Dilated convolutional neural networks for sequential manifold-valued data X Zhen, R Chakraborty, N Vogt, BB Bendlin, V Singh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	32	2019
On the versatile uses of partial distance correlation in deep learning X Zhen, Z Meng, R Chakraborty, V Singh European Conference on Computer Vision, 327-346, 2022	19	2022
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations V Nagaraj Rao, X Zhen, K Hovsepian, M Shen Proceedings of the Third Workshop on Multimodal Artificial Intelligence, 19–29, 2021	15*	2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings X Zhen, R Chakraborty, L Yang, V Singh Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021	7	2021
Simpler Certified Radius Maximization by Propagating Covariances X Zhen, R Chakraborty, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	3	2021
Variational Sampling of Temporal Trajectories J Nazarovs, Z Huang, X Zhen, S Pal, R Chakraborty, V Singh arXiv preprint arXiv:2403.11418, 2024		2024
Deep Learning on Manifold-Valued Data with Applications to Neuroimaging and Vision X Zhen The University of Wisconsin-Madison, 2023		2023
Altered structural connectivity detected with dilated convolutional neural network analysis in the DIAN study and the Wisconsin Registry for Alzheimer’s Prevention X Zhen, R Chakraborty, NM Vogt, R Wang, KL Yang, N Adluru, BA Gordon, ... Alzheimer's & Dementia 17, e054181, 2021		2021
Can Kernel Transfer Operators Help Flow based Generative Models? Z Huang, R Chakraborty, X Zhen, V Singh		2020
P3‐388: SEQUENTIAL DEEP LEARNING ALGORITHMS SHOW STRUCTURAL CONNECTIVITY DIFFERENCES BY AMYLOID STATUS X Zhen, NM Vogt, SJ Hwang, BB Bendlin, V Singh Alzheimer's & Dementia 15, P1097-P1098, 2019		2019
On the Versatile Uses of Partial Distance Correlation in Deep Learning (Supplementary Material) X Zhen, Z Meng, R Chakraborty, V Singh

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