Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. - Dong Bok Lee; Seanie Lee; Woo Tae Jeong; Donghwan Kim; Sung Ju Hwang (ACL, 2020)

Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. - Jinheon Baek; Dong Bok Lee; Sung Ju Hwang (NeurIPS, 2020)

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. - Seanie Lee; Dong Bok Lee; Sung Ju Hwang (ICLR, 2021)

Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning. - Dong Bok Lee; Dongchan Min; Seanie Lee; Sung Ju Hwang (ICLR, 2021)

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. - Dongchan Min; Dong Bok Lee; Eunho Yang; Sung Ju Hwang (ICML, 2021)

Dataset Condensation with Latent Space Knowledge Factorization and Sharing. - Hae Beom Lee; Dong Bok Lee; Sung Ju Hwang (CoRR, 2022)

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. - Dong Bok Lee; Seanie Lee; Kenji Kawaguchi; Yunji Kim; Jihwan Bang; Jung-Woo Ha 001; Sung Ju Hwang (ICLR, 2023)

Self-Supervised Dataset Distillation for Transfer Learning. - Dong Bok Lee; Seanie Lee; Joonho Ko; Kenji Kawaguchi; Juho Lee 001; Sung Ju Hwang (ICLR, 2024)

Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation. - Dong Bok Lee; Aoxuan Silvia Zhang; Byungjoo Kim; Junhyeon Park; Juho Lee 001; Sung Ju Hwang; Hae Beom Lee (CoRR, 2024)

SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models. - Seanie Lee; Dong Bok Lee; Dominik Wagner 002; Minki Kang; Haebin Seong; Tobias Bocklet; Juho Lee 001; Sung Ju Hwang (ACL (Findings), 2025)

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. - Seanie Lee; Haebin Seong; Dong Bok Lee; Minki Kang; Xiaoyin Chen; Dominik Wagner 002; Yoshua Bengio; Juho Lee 001; Sung Ju Hwang (ICLR, 2025)

Simple Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization. - Seongjae Kang; Dong Bok Lee; Hyungjoon Jang; Sung Ju Hwang (CoRR, 2025)

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA. - Seanie Lee; Sangwoo Park; Dong Bok Lee; Dominik Wagner 002; Haebin Seong; Tobias Bocklet; Juho Lee 001; Sung Ju Hwang (CoRR, 2025)

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. - Dongwoo Lee; Dong Bok Lee; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Frank Hutter; Seon Joo Kim; Hae Beom Lee (CoRR, 2025)

PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models. - Seongjae Kang; Dong Bok Lee; Hyungjoon Jang; Dongseop Kim; Sung Ju Hwang (CoRR, 2025)