| 2025 | CIKM | Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment. | Jinwoo Kim, Jongyun Shin, Sangho An, Jangho Kim |
| 2025 | UAI | Sparse Structure Exploration and Re-optimization for Vision Transformer. | Sangho An, Jinwoo Kim, Keonho Lee, Jingang Huh, Chanwoong Kwak, Yujin Lee, Moonsub Jin, Jangho Kim |
| 2024 | UAI | Cooperative Meta-Learning with Gradient Augmentation. | Jongyun Shin, Seungjin Han, Jangho Kim |
| 2023 | WACV | Self-Distilled Self-supervised Representation Learning. | Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak |
| 2022 | ACL | Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. | KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak |
| 2022 | ICML | Variational On-the-Fly Personalization. | Jangho Kim, Juntae Lee, Simyung Chang, Nojun Kwak |
| 2022 | Interspeech | Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. | Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang |
| 2021 | ICASSP | Prototype-Based Personalized Pruning. | Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak |
| 2021 | ICONIP | Vehicle Image Generation Going Well with the Surroundings. | Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak |
| 2021 | Interspeech | PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. | Jangho Kim, Simyung Chang, Nojun Kwak |
| 2020 | CVPR | StackNet: Stacking feature maps for Continual learning. | Jangho Kim, Jeesoo Kim, Nojun Kwak |
| 2020 | ICML | Feature-map-level Online Adversarial Knowledge Distillation. | Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak |
| 2020 | ICPR | Feature Fusion for Online Mutual Knowledge Distillation. | Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak |
| 2016 | SMC | Detecting Korean characters in natural scenes by alphabet detection and agglomerative character construction. | Jangho Kim, Yong-Joong Kim, Yonghyun Kim, Daijin Kim |