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

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Research
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.

Experience
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.
Teaching
Graduate Teaching Assistant
  • Fall 2024: CS 225 Data Structures
Other
Extracurriculars
  • Intramural Basketball, Intramural Soccer, Badminton Club
  • ACM@UIUC SIGAIDA, AAA
Hobbies
  • Weightlifting, Calisthenics
  • Sports, watching sports
  • Exploring Nature