| 2026 | EACL | TAGQuant: Token-Aware Clustering for Group-Wise Quantization. | Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Zhewei Yao, Yuxiong He |
| 2026 | PADL | Interpretable Configuration Optimization for Static Program Verification via Rule-Based and Counterfactual Reasoning. | Jaeseong Lee, Sopam Dasgupta, Gopal Gupta, Shiyi Wei |
| 2025 | ACL | STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning. | Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He |
| 2025 | ACL | Smarter, Not Harder: Training-Free Adaptive Computation for Transformers. | Romain Stora, Jaeseong Lee, Seung-won Hwang |
| 2025 | COLING | Automatic Mathematic In-Context Example Generation for LLM Using Multi-Modal Consistency. | Jaeseong Lee, Wei Yang, Gopal Gupta, Shiyi Wei |
| 2025 | ICCV | Fair Generation without Unfair Distortions: Debiasing Text-To-Image Generation with Entanglement-Free Attention. | Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu |
| 2025 | ICLR | SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars. | Jaeseong Lee, Taewoong Kang, Marcel C. Bhler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo |
| 2025 | NAACL | PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets. | Jaeseong Lee, Hojae Han, Jongyoon Kim, Seung-won Hwang, Naun Kang, KyungJun An, Sungho Jang |
| 2025 | NAACL | PROM: Pivoted and Regulated Optimization for Multilingual Instruction Learning. | Jaeseong Lee, Seung-won Hwang, Hojin Lee, Yunju Bak, Changmin Lee |
| 2024 | ECCV | SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder. | Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo |
| 2024 | EMNLP | Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. | Jaeseong Lee, Seung-won Hwang, Wonpyo Park, Mingi Ji |
| 2024 | EMNLP | Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding. | YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, Seung-won Hwang |
| 2024 | ICASSP | Expression Domain Translation Network for Cross-Domain Head Reenactment. | Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo |
| 2024 | NAACL | ScriptMix: Mixing Scripts for Low-resource Language Parsing. | Jaeseong Lee, Dohyeon Lee, Seung-won Hwang |
| 2024 | NAACL | ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval. | Junggeun Do, Jaeseong Lee, Seung-won Hwang |
| 2024 | NAACL | COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning. | Jaeseong Lee, YeonJoon Jung, Seung-won Hwang |
| 2023 | AAAI | Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization. | Jaeseong Lee, Dohyeon Lee, Seung-won Hwang |
| 2023 | ECIR | C | Jaeseong Lee, Dohyeon Lee, Jongho Kim, Seung-won Hwang |
| 2023 | EMNLP | Multilingual Lottery Tickets to Pretrain Language Models. | Jaeseong Lee, Seung-won Hwang |
| 2022 | ECCV | AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. | Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo |
| 2022 | IJCNLP | FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages. | Jaeseong Lee, Seung-won Hwang, Taesup Kim |
| 2021 | CIKM | SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. | Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang |
| 2020 | ICASSP | Adversarial Video Compression Guided by Soft Edge Detection. | Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik |
| 2015 | DAC | Evaluating battery aging on mobile devices. | Jaeseong Lee, Yohan Chon, Hojung Cha |