|
Welcome! I am a PhD candidate at the statistics department in University of Illinois, Urbana Champaign. I am advised by Dr. Joshua Agterberg. I spent my undergraduate years in Kunshan, China and Durham, North Carolina, where I recieved my data science degree and graduated with distinction at Duke Kunshan University and Duke University. In my undergraduate years, I worked with Dr. Dongmian Zou and Dr. Ivan Mura on geometric machine learning and stochastic modeling. Email / Google Scholar / Github / CV |
|
|
I am interested in subspace clustering, spectral methods and geometry related problems in machine learning, such as computational topology. I am also generally fascinated by interdisciplinary problems in data science. The following is a list of past research projects: |
|
Zhexu Jin, Mario Andrés Velásquez Angel, Ivan Mura, Juan Felipe Franco Front. Environ. Sci., 2022 [doi] [bibtex] [code] We used spatial temporal kriging to identify a highly polluted cluster located in the south-west cluster in the city of Bogotá. Within this cluster, we observe a disproportionate representation of people from several vulnerable groups. |
|
Zhexu Jin, Gaoyang Li, Huansheng Cao, and Dongmian Zou Neurips 2022 Workshop: Medical Imaging Meets Nuerips [abstract] [poster] Proposed to regularize geometry of the segmentation output produced by network using losses inspired by persistent homology We sped up the loss computation via a 1-dimensional simplification and implemented the new loss based on lower star filtration. Benchmarked the proposed method against other commonly used instance segmentation methods |
|
|
|
Lab/Discussion Teaching Assistant:
Grading Teaching Assistant:
|
|
Blog Posts |
More to come! |
|
This guy makes an awesome website. |