Jeong Woo Lee

Jeong Woo Lee

GitHub · Email · LinkedIn

I will join the University of California, Irvine as a Master of Computer Science student in Fall 2026. I completed my B.S. in Electronics and Electrical Engineering at Dongguk University, additionally working as an undergraduate research assistant at ML-Lab, advised by Prof. Jihie Kim, where I worked on table and chart/document reasoning for LLMs and VLMs. I'm continually drawn to the changes AI is driving and how to make the most of them, with particular interest in AI optimization and robustness. Feel free to reach out via GitHub or email.

Jeong Woo Lee

Education

University of California, Irvine Sep. 2026 – Dec. 2027 (expected)
Master of Computer Science (MCS) · Irvine, CA
Dongguk University Mar. 2024 – Feb. 2026
B.S. in Electronics and Electrical Engineering (GPA 4.15/4.5, Rank 16/156) · Seoul, KR
Tech University of Korea Mar. 2019 – Feb. 2024
B.S. coursework in Embedded Systems (GPA 4.08/4.5) · Gyeonggi, KR

Experience

ML-Lab, Dongguk University — Undergraduate Research Assistant Jul. 2024 – Feb. 2026
Advisor: Prof. Jihie Kim · Seoul, KR

Researched table and chart reasoning for LLMs and VLMs, building the TabBridge and VisDoT frameworks and co-authoring five papers, including an ACL Workshop Best Paper Award.

Publications

  1. Jeongwoo Lee, Eunsoo Lee, Jihie Kim. “TabBridge: Bridging Structure and Context for Accurate Table Reasoning.” ACL Workshop, 2026 — Best Paper Award.
  2. Eunsoo Lee, Jeongwoo Lee, Minki Hong, Jangho Choi, Jihie Kim. “VisDoT: Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought.” EACL Findings, 2026.
  3. Jeongwoo Lee, Yongbin Kim, Jihie Kim. “Comparative Insights into Open-source and Closed-source LLMs for Complex Table Question Answering.” ISIS, 2025.
  4. Jeongwoo Lee, Eunsoo Lee, Jihie Kim. “Table Interpretation using Least-to-Most Prompting for LLMs.” KICS, 2025.
  5. Jeongwoo Lee, Minki Hong, Eunsoo Lee, Jihie Kim. “LLM-based Table Data Inference using Data Augmentation and Few-Shot Prompting.” HCLT, 2024.

Projects

E-MOJI — Personalized AI Emoji Web Service Dec. 2022 – Feb. 2023
Leader & Full-Stack Developer · Seoul, KR · GitHub

Led full-stack development (onboarding non-developer teammates onto core Django APIs) and deployed on AWS EC2 with Prometheus-Grafana monitoring; offloaded slow AI image generation to Celery workers via RabbitMQ, using Redis for status polling.

ReBike — Smart Waste Detection Website Jul. 2022 – Aug. 2022
Front-end Developer · Seoul, KR · GitHub

Built the React client (migrated JavaScript to TypeScript mid-project) and annotated a custom waste-image dataset to train a YOLOv5 model, building the detection UI that renders returned bounding boxes and class labels.

Leadership & Teaching

Dongguk University — Undergraduate Teaching Assistant Mar. 2025 – Dec. 2025
Machine Learning & Deep Learning Courses · Seoul, KR

Mentored 30+ students through office hours, clarifying core ML/DL concepts and providing feedback on project deliverables; awarded TA Scholarship.

English Study Club — Founder & Leader Apr. 2025 – Present
Seoul, KR

Founded and led a 6-member peer study group, designing the curriculum and leading discussions across 60+ weekly sessions over 15 months.

Awards & Honors

  • Best Paper Award — ACL Workshop, 2026 (TabBridge)
  • TA Scholarship — Dongguk University, 2025
  • Academic Excellence Award — Dongguk University (2 semesters) & Tech University of Korea (3 semesters)
  • Top 10 Finalist, Techeer — 2022
  • Gold Award — TU Startup Competition, Silicon Valley Summer Bootcamp, Embedded Systems Competition for Freshman