About me

I am a master's student in Computer Science at the University of Maryland, College Park, where I conduct research under the guidance of Prof. Ruohan Gao.

I earned my B.S. in Computer Science from Yonsei University, graduating summa cum laude and was honored as the department's valedictorian. During my undergraduate studies, I had the privilege of being advised by Prof. Seon Joo Kim.

My research interests lie in multisensory machine learning, with the goal of enabling machines to understand the world through human sensory modalities, including vision, audition, touch, and olfaction.

For more details, please see my CV.

I will be joining Microsoft in Redmond, WA as an Applied Scientist Intern in Summer 2026.

Publications

* denotes equal contribution

CVPR 2026 Workshop
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
Nuria Alina Chandra, Ryan Murtfeldt, Lin Qiu, Arnab Karmakar, Hannah Lee, Emmanuel Tanumihardja, Kevin Farhat, Ben Caffee, Sejin Paik, Changyeon Lee, Jongwook Choi, Aerin Kim, Oren Etzioni
IEEE IRC 2024
Cost-Efficient and Effective Counter Unmanned Aerial System via Visual-Acoustic Sensing
Changyeon Lee*, Dongju Yu*, Soyeon Cho*, Dane W. Hindsley, Halaevalu F. Patterson, Megan A. Clecak, Eric T. Matson
ICML 2024 Workshop
DistilDIRE: A Small, Fast, Cheap and Light Diffusion Synthesized Deepfake Detection
Yewon Lim*, Changyeon Lee*, Aerin Kim, Oren Etzioni
ICML 2024 Workshop
The Tug-Of-War Between Deepfake Generation and Detection
Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
CVPR 2024 Workshop
Towards Interpretable Controllability in Object-Centric Learning
Jinwoo Kim*, Janghyuk Choi*, Jaehyun Kang, Changyeon Lee, Ho-Jin Choi, Seon Joo Kim