| 2026 | AAAI | Synthetic-to-Real Transfer Learning for League of Legends Minimap Object Detection (Student Abstract). | Younsung Lee, Yujin Kim, Kyung-Joong Kim |
| 2026 | DASFAA | Multimodal Drug Recommendation with Quantum Chemical Molecular Representations. | Yujin Kim, Seoeun Park, Chongmyung Kwon, Charmgil Hong |
| 2026 | HRI | Speaking with Screens: Design Space and Guidelines for Informational Robot Screens. | Yujin Kim, Christine P. Lee, Bilge Mutlu |
| 2025 | ACL | Self-Training Elicits Concise Reasoning in Large Language Models. | Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun |
| 2025 | ICCD | FINEA: An Efficient Neural Network Accelerator Exploiting Factorized Input Features. | Yujin Kim, Chanhun Jeong, Yunho Oh, Myung Kuk Yoon, Gunjae Koo |
| 2025 | ICCV | Exploring Multimodal Diffusion Transformers for Enhanced Prompt-Based Image Editing. | Joonghyuk Shin, Alchan Hwang, Yujin Kim, Daneul Kim, Jaesik Park |
| 2025 | ICML | When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class. | Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim |
| 2025 | IROS | Distilling Realizable Students from Unrealizable Teachers. | Yujin Kim, Nathaniel Chin, Arnav Vasudev, Sanjiban Choudhury |
| 2025 | MICCAI | MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation. | Chongmyung Kwon, Yujin Kim, Seoeun Park, Yunji Lee, Charmgil Hong |
| 2024 | EMNLP | BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization. | Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, SangMook Kim, Se-Young Yun |
| 2024 | ITS | MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing. | Unggi Lee, Yonghyun Park, Yujin Kim, Seongyune Choi, Hyeoncheol Kim |
| 2024 | IUI | Understanding Novice's Annotation Process For 3D Semantic Segmentation Task With Human-In-The-Loop. | Yujin Kim, Eunyeoul Lee, Yunjung Lee, Uran Oh |
| 2024 | KDD | TnT-LLM: Text Mining at Scale with Large Language Models. | Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan |
| 2024 | MICCAI | Evaluating Visual Explanations of Attention Maps for Transformer-Based Medical Imaging. | Minjae Chung, Jong Bum Won, Ganghyun Kim, Yujin Kim, Utku Ozbulak |
| 2024 | NAACL | 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 |
| 2023 | CoNEXT | Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead. | Hochan Lee, Heewon Kim, Chanbin Bae, Yujin Kim, Sangheon Pack |
| 2023 | EMNLP | NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models. | Jongwoo Ko, Seungjoon Park, Yujin Kim, Sumyeong Ahn, Du-Seong Chang, Euijai Ahn, Se-Young Yun |
| 2023 | EMNLP | HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. | Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun |
| 2022 | AAAI | NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. | Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim |
| 2021 | ICWSM | COVID-19 Coverage By Cable and Broadcast Networks. | Ceren Budak, Ashley Muddiman, Yujin Kim, Caroline C. Murray, Natalie Jomini Stroud |