Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2020)

Point Cloud Augmentation with Weighted Local Transformations. - Sihyeon Kim; Sanghyeok Lee; Dasol Hwang; Jaewon Lee; Seong Jae Hwang; Hyunwoo J. Kim (ICCV, 2021)

Learning Augmentation for GNNs With Consistency Regularization. - Hyeon-Jin Park; Seunghun Lee 001; Dasol Hwang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Access, 2021)

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (CoRR, 2021)

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. - Byoungjip Kim; Sungik Choi; Dasol Hwang; Moontae Lee; Honglak Lee (NeurIPS, 2022)

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. - Sungmin Cha; Sungjun Cho; Dasol Hwang; Sunwon Hong; Moontae Lee; Taesup Moon (CVPR, 2023)

QASA: Advanced Question Answering on Scientific Articles. - Yoonjoo Lee; Kyungjae Lee 002; Sunghyun Park 005; Dasol Hwang; Jaehyeon Kim; Hong-In Lee; Moontae Lee (ICML, 2023)

Robust auxiliary learning with weighting function for biased data. - Dasol Hwang; Sojin Lee; Joonmyung Choi; Je-Keun Rhee; Hyunwoo J. Kim (Inf. Sci., 2023)

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. - Sungmin Cha; Sungjun Cho; Dasol Hwang; Honglak Lee; Taesup Moon; Moontae Lee (AAAI, 2024)

Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. - Byoungjip Kim; Dasol Hwang; Sungjun Cho; Youngsoo Jang; Honglak Lee; Moontae Lee (CVPR Workshops, 2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. - Kyungjae Lee 002; Dasol Hwang; Sunghyun Park 005; Youngsoo Jang; Moontae Lee (CoRR, 2024)

Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models. - Sungmin Cha; Sungjun Cho; Dasol Hwang; Moontae Lee (CoRR, 2024)

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. - Sungmin Cha; Sungjun Cho; Dasol Hwang; Moontae Lee (ICLR, 2025)