Joie Yeahuay Wu

I am a PhD student in the DREAM Lab at University of Massachussetts Amherst. I am advised by Gerome Miklau. Previously, I was part of the Information Fusion Lab.

I have a B.S in Computer Science and Mathematics from Temple University. During undergrad, I was mentored by Vasily Dolgushev, Bo Ji, and Anne Ngu.

GitHub  /  LinkedIn  /  Blog

profile photo
I enjoy swimming, playing stringed instruments, being outdoors, and watching Desus & Mero. I am currently learning Haskell. I sometimes blog about topics that I am passionate about here.

project image

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.

project image

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.




Other Projects

These include coursework, side projects and unpublished research work.

project image

Information Orthogonality


UMass CS 690OP
2019-05-29

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