- 2024.10: I made it into the top 10 teams of the HuMob’24 competition out of 100+ participating teams! See you in Atlanta :)
- 2024.09: Our paper, Context-Aware Trajectory Anomaly Detection, was accepted to GeoAnomalies’24!
- 2024.08: I officially started my Ph.D. journey at UMN.
- 2024.03: I won the SFU CS Diversity Award for mitigating group identity bias in distilled language models via a dual-teacher approach, all in just one epoch!
About
I am a Ph.D. student in Computer Science at University of Minnesota (UMN), advised by Prof. Yao-Yi Chiang.
My research interests lie in understanding the properties of neural networks, with an emphasis on their transient rather than asymptotic behavior. Like humans, neural networks undergo critical periods during which most representational structures are formed. By studying when networks acquire and consolidate information, I aim to improve training efficiency and model generalization.
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.
Curriculum Vitae (updated Oct. 2025)
🎉 News
- 2025.10: I will present my paper Do All Samples Matter? Data Redundancy in the Era of Large-Scale Training at the 25th KOCSEA Technical Symposium. See you in Vegas!
- 2025.08: I will continue my internship with the GeoAI group at Oak Ridge National Laboratory 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 Oak Ridge National Laboratory this Summer!
- 2025.02: My undergraduate 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! 🌞
Click to expand (2024)
Click to expand (2023)
- 2023.12: I completed my master’s degree in CS at SFU.
- 2023.06: I won the SFU CS Innovation Prize for tackling data scarcity in medicine and agriculture, boosting data-hungry models with conditional diffusion-generated data!
✒️ 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 HuMob 2024
[Top 10 out of 100+ teams]
🎋 Miscellanea
“Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas, in that order.”
– Patrick Winston