Tuan Dinh

I am a graduate student in computer science at the University of Wisconsin-Madison. I'm currently working with Prof. Kangwook Lee. I received my B.E. in Computer Sciences from University of Technology, Vietnam National University in 2015.

Email  /  GitHub  /  Twitter

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Research

I'm interested in machine learning, representation learning, deep generative models and applied research in biomedical science.

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Performing Group Difference Testing on Graph Structured Data from GANs: Analysis and Applications in Neuroimaging


Tuan Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya Ravi, Vikas Singh
Transactions on Pattern Analysis and Machine Intelligence, 2020
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Presented Slides

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The Promise of Conditional Gradient Methods for Training Deep Models


Sathya Ravi, Tuan Dinh, Vishnu Lokhande, Vikas Singh
AAAI, 2019
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Presented Slides

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Forecasting Dengue Incidences: Statistical and Dynamic Models


Tru Hoang Cao, Anh Duy Nguyen, Tuan Dinh, Quang Chan Luong, Hai Thanh Diep.
The Oxford Journal of Intelligent Decision and Data Science, 2018

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Forecasting the Magnitude of Dengue in Southern Vietnam


Tuan Dinh, Le, H. V., Cao, T. H., Diep, H. T., Luong, Q. C.
ACIIDS, 2016







Other Projects

These include coursework, side projects and unpublished research work.

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An Analysis of Generative Adversarial Networks Toward Addressing Mode Collapse


UW Madison
2017-08-22

Analyze GANs systematically via an 3-level model and propose a mean-matching approach which reduces mode missing problem on Stacked-MNIST dataset.


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