| 2025 | CHI | DiminishAR: Diminishing Visual Distractions via Holographic AR Displays. | Janghyeon Lee, Lawrence H. Kim |
| 2025 | ICCV | Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation. | Yooshin Cho, Hanbyel Cho, Janghyeon Lee, Hyeong Gwon Hong, Jaesung Ahn, Junmo Kim |
| 2025 | ICALT | Investigating Narrative-Driven Game-Based Learning for SQL Education. | Hazra Imran, Jiahuan He, Janghyeon Lee |
| 2023 | ICCV | Disposable Transfer Learning for Selective Source Task Unlearning. | Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim |
| 2023 | UIST | SwarmFidget: Exploring Programmable Actuated Fidgeting with Swarm Robots. | Samira Pulatova, Jiadi Luo, Janghyeon Lee, Veronika Domova, Yuqi Yao, Parsa Rajabi, Lawrence H. Kim |
| 2022 | ECCV | DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. | Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim |
| 2022 | ECCV | On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. | Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim |
| 2022 | IROS | Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim |
| 2022 | IROS | Fully Convolutional Transformer with Local-Global Attention. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim |
| 2022 | WACV | TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. | Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim |
| 2021 | AAAI | Patch-Wise Attention Network for Monocular Depth Estimation. | Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim |
| 2020 | AAAI | Residual Continual Learning. | Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim |
| 2020 | CVPR | Continual Learning With Extended Kronecker-Factored Approximate Curvature. | Janghyeon Lee, Hyeong Gwon Hong, Donggyu Joo, Junmo Kim |