An Efficient On-Line Monitoring BIST for Remote Service System. - Sangmin Bae; DongSup Song; Jihye Kim 002; Sungho Kang 001 (AISA, 2002)

Under Sampling Bagging Shapelet Transformation for Hydraulic System. - Yohan Joo; Jongpil Jeong; Sangmin Bae (COINS, 2019)

Fog Computing Architecture Based Blockchain for Industrial IoT. - Su-Hwan Jang; Jo Guejong; Jongpil Jeong; Sangmin Bae (ICCS (3), 2019)

SIPA: A Simple Framework for Efficient Networks. - Gihun Lee; Sangmin Bae; Jaehoon Oh; Se-Young Yun (ICDM (Workshops), 2020)

MixCo: Mix-up Contrastive Learning for Visual Representation. - Sungnyun Kim; Gihun Lee; Sangmin Bae; Se-Young Yun (CoRR, 2020)

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits. - Taehyeon Kim 001; Sangmin Bae; Jin-Woo Lee; Seyoung Yun (CoRR, 2020)

Self-Contrastive Learning. - Sangmin Bae; Sungnyun Kim; Jongwoo Ko; Gihun Lee; Seungjong Noh; Se-Young Yun (CoRR, 2021)

Preservation of the Global Knowledge by Not-True Distillation in Federated Learning. - Gihun Lee; Minchan Jeong; Yongjin Shin; Sangmin Bae; Se-Young Yun (NeurIPS, 2022)

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. - Sangmin Bae; Sungnyun Kim; Jongwoo Ko; Gihun Lee; Seungjong Noh; Se-Young Yun (AAAI, 2023)

Re-Thinking Federated Active Learning Based on Inter-Class Diversity. - Sangmook Kim; Sangmin Bae; Hwanjun Song; Se-Young Yun (CVPR, 2023)

Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. - Sungnyun Kim; Sangmin Bae; Se-Young Yun (CVPR, 2023)

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding. - Sangmin Bae; Jongwoo Ko; Hwanjun Song; Se-Young Yun (EMNLP, 2023)

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 (INTERSPEECH, 2023)

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance. - June-Woo Kim; Chihyeon Yoon; Miika Toikkanen; Sangmin Bae; Ho-Young Jung (CoRR, 2023)

Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning. - Felix den Breejen; Sangmin Bae; Stephen Cha; Tae-Young Kim; Seounghyun Koh; Se-Young Yun (CoRR, 2023)

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. - Yunseon Choi; Sangmin Bae; Seonghyun Ban; Minchan Jeong; Chuheng Zhang; Lei Song 001; Li Zhao 007; Jiang Bian 002; Kee-Eung Kim (ACL (1), 2024)

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification. - June-Woo Kim; Miika Toikkanen; Sangmin Bae; Minseok Kim; Ho-Young Jung (EMBC, 2024)

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 (ICASSP, 2024)

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 (NAACL-HLT, 2024)

Block Transformer: Global-to-Local Language Modeling for Fast Inference. - Namgyu Ho; Sangmin Bae; Taehyeon Kim 001; Hyunjik Jo; Yireun Kim; Tal Schuster; Adam Fisch; James Thorne; Se-Young Yun (NeurIPS, 2024)

Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. - Sungnyun Kim; Kangwook Jang; Sangmin Bae; Hoirin Kim; Se-Young Yun (SLT, 2024)

Why In-Context Learning Transformers are Tabular Data Classifiers. - Felix den Breejen; Sangmin Bae; Stephen Cha; Se-Young Yun (CoRR, 2024)

VACoDe: Visual Augmented Contrastive Decoding. - Sihyeon Kim; Boryeong Cho; Sangmin Bae; Sumyeong Ahn; Se-Young Yun (CoRR, 2024)

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA. - Sangmin Bae; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Seungyeon Kim 001; Tal Schuster (ICLR, 2025)

Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. - Sungnyun Kim; Sungwoo Cho; Sangmin Bae; Kangwook Jang; Se-Young Yun (ICLR, 2025)

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 (ICLR, 2025)

MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. - Sungnyun Kim; Kangwook Jang; Sangmin Bae; Sungwoo Cho; Se-Young Yun (CoRR, 2025)

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. - Sangmin Bae; Yujin Kim; Reza Bayat; Sungnyun Kim; Jiyoun Ha; Tal Schuster; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Aaron Courville; Se-Young Yun (CoRR, 2025)