Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data. - Hyunwoo Jung; Moonsu Han; Minki Kang; Sung Ju Hwang (CoRR, 2018)

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. - Moonsu Han; Minki Kang; Hyunwoo Jung; Sung Ju Hwang (ACL (1), 2019)

Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation. - Minki Kang; Moonsu Han; Sung Ju Hwang (EMNLP (1), 2020)

Learning to Perturb Word Embeddings for Out-of-distribution QA. - Seanie Lee; Minki Kang; Juho Lee 001; Sung Ju Hwang (ACL/IJCNLP (1), 2021)

Accurate Learning of Graph Representations with Graph Multiset Pooling. - Jinheon Baek; Minki Kang; Sung Ju Hwang (ICLR, 2021)

Edge Representation Learning with Hypergraphs. - Jaehyeong Jo; Jinheon Baek; Seul Lee; Dongki Kim; Minki Kang; Sung Ju Hwang (NeurIPS, 2021)

KALA: Knowledge-Augmented Language Model Adaptation. - Minki Kang; Jinheon Baek; Sung Ju Hwang (NAACL-HLT, 2022)

Any-speaker Adaptive Text-To-Speech Synthesis with Diffusion Models. - Minki Kang; Dongchan Min; Sung Ju Hwang (CoRR, 2022)

Knowledge-Augmented Language Model Verification. - Jinheon Baek; Soyeong Jeong; Minki Kang; Jong C. Park; Sung Ju Hwang (EMNLP, 2023)

Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models. - Minki Kang; Dongchan Min; Sung Ju Hwang (ICASSP, 2023)

Self-Distillation for Further Pre-training of Transformers. - Seanie Lee; Minki Kang; Juho Lee 001; Sung Ju Hwang; Kenji Kawaguchi (ICLR, 2023)

Sparse Token Transformer with Attention Back Tracking. - Heejun Lee; Minki Kang; Youngwan Lee; Sung Ju Hwang (ICLR, 2023)

ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. - Minki Kang; Wooseok Han; Sung Ju Hwang; Eunho Yang (INTERSPEECH, 2023)

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. - Minki Kang; Seanie Lee; Jinheon Baek; Kenji Kawaguchi; Sung Ju Hwang (NeurIPS, 2023)

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. - Minki Kang; Jin Myung Kwak; Jinheon Baek; Sung Ju Hwang (CoRR, 2023)

Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image. - Minki Kang; Wooseok Han; Eunho Yang (CoRR, 2023)

Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models. - Minki Kang; Sung Ju Hwang; Gibbeum Lee; Jaewoong Cho (NeurIPS, 2024)

ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments. - Munkyu Lee; Sihoon Seong; Minki Kang; Jihyuk Lee; Gap-Joo Na; In-Geol Chun; Dimitrios Nikolopoulos; Cheol-Ho Hong (SC, 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)

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting. - Wooseok Han; Minki Kang; Changhun Kim; Eunho Yang (ICASSP, 2025)

Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping. - Minki Kang; Wooseok Han; Eunho Yang (ICASSP, 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)

T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models. - Minki Kang; Jongwon Jeong; Jaewoong Cho (CoRR, 2025)

Distilling LLM Agent into Small Models with Retrieval and Code Tools. - Minki Kang; Jongwon Jeong; Seanie Lee; Jaewoong Cho; Sung Ju Hwang (CoRR, 2025)