Eric Z. Chen
I am a first year Master of Science in Computer Science student at the
University
of Illinois Urbana-Champaign (UIUC), where I am advised by Professor
Yuxiong Wang.
My interests are in computer vision and multimodal AI.
Previously, I graduated with a Bachelor of Science in Statistics & Computer
Science from UIUC in December 2023.
Email  / 
LinkedIn  / 
GitHub  / 
Google
Scholar
|
|
|
Undergraduate/Graduate Researcher Sep 2023 - present
UIUC Yuxiong Lab, advised by Prof. Yuxiong Wang
I have been working with Jiahua Dong on expanding and
improving the results from the previous YouTubePD paper. My work
involves simulating Parkinson's symptoms in the faces of healthy individuals at
the video level by integrating motion conditioning into video diffusion models,
and at the image level using LLM-guided diffusion inpainting to create augmented
training images. Additionally, I have conducted numerous ablation studies to
optimize parameters and tuned our model, significantly improving the previous F1
score.
Poster:
Eric Chen, Jiahua Dong, Yuxiong Wang. YouTubePD-LLM: LLM Guided
Parkinson's Disease Progression and Augmentation on a Multi-Modal Benchmark.
Multimodal AI TTIC 2024 Poster
|
|
Research Project Member (external collaboration) Jun 2023 - Jan 2024
Google Research, with Junyi Zhang and advised by Prof. Ming-Hsuan Yang
I worked with Junyi Zhang and the research team on improving the results
from their previous SD-DINO
paper, by utilizing the new Stable Diffusion XL model to
improve geometric awareness of previous semantic correspondence performance. My
work was to extract features from SDXL to learn about its geometric
understanding of images, integrate SDXL into related methods and run
experiments to evaluate their metrics, and assist in creating and processing a
new semantic correspondence benchmark.
Publication:
Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani,
Deqing Sun, Ming-Hsuan Yang.
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence.
Conference on Computer Vision and Pattern Recognition (CVPR) 2024.
Project Page,
Arxiv
|
|
Undergraduate Researcher / Software Developer May
2022 - Dec 2023
UIUC Forward Data Lab, advised by Prof. Kevin C.C. Chang
From Summer 2022 to Summer 2023, I worked on the Living Encyclopedia project, a
web application that automatically generates concise and accurate wiki pages
containing general and academic information for university departments. This
project included BERT fine-tuning for classification, active learning,
summarization, information retrieval, feature engineering, and text data
augmentation techniques.
In the Fall 2023 semester, I explored prompt engineering methods to create
suitable prompts for citation-aware summarization and intelligent content
extraction from web pages, as additions to the Living Encyclopedia project. I
also conducted experiments to benchmark Llama 2's performance in various tasks,
such as custom extraction, summarization, and classification.
|
|
Software Engineer Intern Irvine, CA (Remote) May 2021 - Aug
2021
AbbVie
As part of the Health Economics Outcome Research team, we developed a web
application that allows users to input model parameters and outputs a Markov health
state transition model in Excel, visualizing the company's anticipated health
impacts and drug costs.
|
Graduate Teaching Assistant
- Fall 2024: CS 225 Data Structures
|
|
Extracurriculars
- Intramural Basketball, Intramural Soccer, Badminton Club
- ACM@UIUC SIGAIDA, AAA
Hobbies
- Weightlifting, Calisthenics
- Sports, watching sports
- Exploring Nature
|
|