| 2025 | ICLR | Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. | Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster |
| 2025 | ICLR | Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. | Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun |
| 2025 | ICLR | Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. | Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee |
| 2025 | ICML | MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. | Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun |
| 2024 | ACL | Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. | Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim |
| 2024 | ICASSP | Stethoscope-Guided Supervised Contrastive Learning for Cross-Domain Adaptation on Respiratory Sound Classification. | June-Woo Kim, Sangmin Bae, Won-Yang Cho, Byungjo Lee, Ho-Young Jung |
| 2024 | NAACL | Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. | Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun |
| 2023 | AAAI | Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. | Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun |
| 2023 | CVPR | Re-Thinking Federated Active Learning Based on Inter-Class Diversity. | Sangmook Kim, Sangmin Bae, Hwanjun Song, Se-Young Yun |
| 2023 | CVPR | Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. | Sungnyun Kim, Sangmin Bae, Se-Young Yun |
| 2023 | EMNLP | Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. | Sangmin Bae, Jongwoo Ko, Hwanjun Song, Se-Young Yun |
| 2023 | Interspeech | Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. | Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun |
| 2020 | ICDM | SIPA: A Simple Framework for Efficient Networks. | Gihun Lee, Sangmin Bae, Jaehoon Oh, Se-Young Yun |
| 2019 | ICCS | Fog Computing Architecture Based Blockchain for Industrial IoT. | Su-Hwan Jang, Jo Guejong, Jongpil Jeong, Sangmin Bae |