| 2023 | ICIP | Training Cartoonization Network without Cartoon. | Doyeon Kim, Dongyeun Lee, Donggyu Joo, Junmo Kim |
| 2022 | CVPR | Linear Combination Approximation of Feature for Channel Pruning. | Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim |
| 2022 | ICIP | Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop? | Donggyu Joo, Sunghyun Baek, Junmo Kim |
| 2021 | AAAI | Linearly Replaceable Filters for Deep Network Channel Pruning. | Donggyu Joo, Eojindl Yi, Sunghyun Baek, 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 |
| 2020 | ICPR | Slimming ResNet by Slimming Shortcut. | Donggyu Joo, Doyeon Kim, Junmo Kim |
| 2020 | ICPR | Delivering Meaningful Representation for Monocular Depth Estimation. | Doyeon Kim, Donggyu Joo, Junmo Kim |
| 2018 | BMVC | Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. | Donggyu Joo, Junho Yim, Junmo Kim |
| 2018 | CVPR | Generating a Fusion Image: One's Identity and Another's Shape. | Donggyu Joo, Doyeon Kim, Junmo Kim |
| 2017 | CVPR | A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning. | Junho Yim, Donggyu Joo, Ji-Hoon Bae, Junmo Kim |