Impacts of urban form on air quality in metropolitan areas in the United States. - Changyeon Lee (Comput. Environ. Urban Syst., 2019)

Towards Interpretable Controllability in Object-Centric Learning. - Jinwoo Kim; Janghyuk Choi; Jaehyun Kang; Changyeon Lee; Ho-Jin Choi; Seon Joo Kim (CoRR, 2023)

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 (IRC, 2024)

DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. - Yewon Lim; Changyeon Lee; Aerin Kim; Oren Etzioni (CoRR, 2024)

The Tug-of-War Between Deepfake Generation and Detection. - Hannah Lee; Changyeon Lee; Kevin Farhat; Lin Qiu; Steve Geluso; Aerin Kim; Oren Etzioni (CoRR, 2024)

Forecasting urban expansion: A dynamic urban growth model using DS-ConvLSTM to simulate multi-land regulation scenarios. - Juyeong Nam; Changyeon Lee (Ecol. Informatics, 2025)

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; et al. (CoRR, 2025)