- 2025.12: My undergrad intern at UMN, Nathan Stangler, presented our work SolarCLIP (a CLIP model for the Sun) at URS.
- 2025.12: My undergrad intern at UMN, Shilong Xiang, received the UROP Award. Congrats!
- 2025.08: I will continue my internship with the GeoAI group at ORNL this Fall.
- 2025.08: Our paper, Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning, was accepted to SIGSPATIAL 2025!
- 2025.05: I will be interning with the GeoAI group at ORNL this Summer.
- 2025.02: My undergrad intern at UMN, Shilong Xiang, received the MURAJ In-Action Grant Award. Congrats!
- 2025.01: Our paper, DiminishAR: Diminishing Visual Distractions via Holographic AR Displays, was accepted to CHI 2025! See you in Yokohama 🌸
- 2025.01: I am fortunate to receive the CSE Data Science Initiative (DSI) Fellowship. We will be taking Spatial AI to the Sun!
About
I am a PhD student in Computer Science at University of Minnesota (UMN), advised by Yao-Yi Chiang and Dalton Lunga.
My research focuses on the transferability of learned representations, particularly in self-supervised learning (SSL). I am interested in understanding how SSL models learn representations that generalize across diverse downstream tasks, and how such representations can be learned efficiently.
Prior to this, I received my MS and BS in Computing Science from Simon Fraser University (SFU), and a BS in Materials Science & Engineering from Korea University. I also did an internship at KAIST, which ignited my journey in AI.
CV (Jan. 2026)
🎉 News
- 2026.01: I will continue my internship with the GeoAI group at ORNL this Spring.
Click to expand (2025)
Click to expand (2024)
- 2024.10: I made it into the top 10 teams of the HuMob competition! See you in Atlanta.
- 2024.03: I won the SFU CS Diversity Award!
Click to expand (2023)
- 2023.06: I won the SFU CS Innovation Prize!
✒️ Publications (selected)
DiminishAR: Diminishing Visual Distractions via Holographic AR Displays
JangHyeon Lee, Lawrence Kim
ACM CHI 2025
[Acceptance rate = 24.9% (1249/5020)]
CrossBag: A Bag of Tricks for Cross-City Mobility Prediction
JangHyeon Lee, Yao-Yi Chiang
ACM SIGSPATIAL Human Mobility Prediction Challenge 2024
[Top 10 out of 100+ teams]