ProfessorsProfessors of University of ChicagoTri Huynh

Tri Huynh

University of Chicago

H-index: 7

North America-United States

About Tri Huynh

Tri Huynh, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Computer Vision, Machine Learning, Robotics, Medical Imaging, Visualization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neural Multigrid Memory For Computational Fluid Dynamics

Semi-supervised learning for medical image classification using imbalanced training data

Boosting contrastive self-supervised learning with false negative cancellation

Universal Neural Memory Architectures: Multigrid Connectivity, Domain-Agnostic Geometry, and Local Operators

Multigrid neural memory

Tri Huynh Information

University	University of Chicago
Position	___
Citations(all)	625
Citations(since 2020)	418
Cited By	355
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	4
i10Index(since 2020)	4
Email	Access Email
University Profile Page	University of Chicago
Google Scholar	View Google Scholar Profile

Tri Huynh Skills & Research Interests

Computer Vision

Machine Learning

Robotics

Medical Imaging

Visualization

Top articles of Tri Huynh

Title	Journal	Author(s)	Publication Date
Neural Multigrid Memory For Computational Fluid Dynamics	arXiv preprint arXiv:2306.12545	Duc Minh Nguyen Minh Chau Vu Tuan Anh Nguyen Tri Huynh Nguyen Tri Nguyen ...	2023/6/21
Semi-supervised learning for medical image classification using imbalanced training data		Tri Huynh Aiden Nibali Zhen He	2022/4/1
Boosting contrastive self-supervised learning with false negative cancellation		Tri Huynh Simon Kornblith Matthew R Walter Michael Maire Maryam Khademi	2022
Universal Neural Memory Architectures: Multigrid Connectivity, Domain-Agnostic Geometry, and Local Operators		Tri Quoc Huynh	2021
Multigrid neural memory		Tri Huynh Michael Maire Matthew Walter	2020/11/21