Joie Yeahuay Wu

I am a graduate student in the DREAM Lab at University of Massachussetts Amherst. I am advised by Gerome Miklau. In Summer 2021, I was an Applied Scientist Intern at Amazon.

I have a B.S in Computer Science and Mathematics from Temple University.

Sometimes I blog.

GitHub  /  LinkedIn

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I have done research in Machine Learning for healthcare domains and Differential Privacy.

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FLARe: Forecasting by Learning Anticipated Representations

Surya Teja Devarakonda*, Joie Yeahuay Wu*, Yi Ren Fung, Madalina Fiterau
MLHC (Machine Learning for Healthcare), 2019
arxiv / code /

A novel time series forecasting approach using LSTMs which predicts representations across the forecasting horizon.

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Alzheimer's Disease Brain MRI Classification: Challenges and Insights

Yi Ren Fung, Ziqian Guan, Ritesh Kumar, Joie Yeahuay Wu
IJCAI ARIAL Workshop, 2019
arxiv / code /

Comprehensive study of Alzheimer’s disease diagnosis using CNNs. Discovered data leakage issue from previous papers.


These include coursework, side projects and unpublished research work.

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Information Orthogonality

UMass CS 690OP

An approach for multimodal deep learning which uses a mutual information regularizer to decrease redundancy from representations learned from brain MRIs and hand-crafted features for the task of diagnosing Alzheimer’s disease stage. Report available upon request.

Design and source code from Jon Barron's website