| 2026 | ACL | Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1, 500-Student Online Classroom. | Jonghoon Lee, Geonjae Youn, Seongmin Lee, Chaemoon Im, Joongheon Kim, Chuck Yoo |
| 2026 | CHI | Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation. | Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng (Polo) Chau |
| 2026 | SP | Cottontail: Large Language Model-Driven Concolic Execution for Highly Structured Test Input Generation. | Haoxin Tu, Seongmin Lee, Yuxian Li, Peng Chen, Lingxiao Jiang, Marcel Bhme |
| 2025 | AAAI | LLM Attributor: Interactive Visual Attribution for LLM Generation. | Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, Shengyun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng |
| 2025 | AAAI | TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models. | Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau |
| 2025 | EMNLP | Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety. | Seongmin Lee, Aeree Cho, Grace C. Kim, Shengyun Peng, Mansi Phute, Duen Horng Chau |
| 2025 | ICLR | How Much is Unseen Depends Chiefly on Information About the Seen. | Seongmin Lee, Marcel Bhme |
| 2025 | ICSE | Accounting for Missing Events in Statistical Information Leakage Analysis. | Seongmin Lee, Shreyas Minocha, Marcel Bhme |
| 2025 | NAACL | Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions. | Joo Bon Maeng, Seongmin Lee, Seokin Seo, Kee-Eung Kim |
| 2024 | CHI | SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks. | Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau |
| 2024 | ECCV | CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images. | Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon, Hae-Gon Jeon |
| 2024 | ICASSP | Speech-Driven Emotional 3d Talking Face Animation Using Emotional Embeddings. | Seongmin Lee, Jeonghaeng Lee, Hyewon Song, Sanghoon Lee |
| 2024 | IJCAI | Interactive Visual Learning for Stable Diffusion. | Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau |
| 2024 | IJCAI | InViTe: Individual Virtual Transfer for Personalized 3D Face Generation System. | Mingyu Jang, Kyungjune Lee, Seongmin Lee, Hoseok Tong, Juwan Chung, Yusung Ro, Sanghoon Lee |
| 2024 | IJCAI | AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning. | Chanhyuk Park, Jungbin Cho, Junwan Kim, Seongmin Lee, Jungsu Kim, Sanghoon Lee |
| 2024 | ICSE | Extrapolating Coverage Rate in Greybox Fuzzing. | Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Bhme |
| 2023 | CIKM | Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. | Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau |
| 2023 | ICIP | Fusing Explicit and Implicit Flow for Optical Flow Estimation. | Hyunse Yoon, Seongmin Lee, Sanghoon Lee |
| 2023 | MMSP | Video-Based Stabilized 3D Face Alignment Using Temporal Multi-Discrimination. | Seongmin Lee, Hyunse Yoon, Jiwoo Kang, Jungsu Kim, Jiwan Son, Jungwoo Huh, Sanghoon Lee |
| 2022 | ACL | Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. | Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon |
| 2022 | CHI | MisVis: Explaining Web Misinformation Connections via Visual Summary. | Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau |
| 2022 | CVPR | VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. | Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau |
| 2021 | ICIP | WarpingFusion: Accurate Multi-View TSDF Fusion with Local Perspective Warp. | Jiwoo Kang, Seongmin Lee, Mingyu Jang, Hyunse Yoon, Sanghoon Lee |
| 2021 | ICST | Effectively Sampling Higher Order Mutants Using Causal Effect. | Saeyoon Oh, Seongmin Lee, Shin Yoo |
| 2021 | MMSP | Deep Chessboard Corner Detection Using Multi-task Learning. | Hyunse Yoon, Seongmin Lee, Jiwoo Kang, Sanghoon Lee |
| 2020 | ICSE | Scalable and approximate program dependence analysis. | Seongmin Lee |
| 2019 | ICCV | A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents. | Jinwoo Kim, Woojae Kim, Heeseok Oh, Seongmin Lee, Sanghoon Lee |
| 2019 | ICST | Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. | Seongmin Lee, Shin Hong, Jungbae Yi, Taeksu Kim, Chul-Joo Kim, Shin Yoo |
| 2019 | SCAM | MOAD: Modeling Observation-Based Approximate Dependency. | Seongmin Lee, David W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo |
| 2018 | IROS | Development of a Hybrid Gripper with Soft Material and Rigid Structures. | Wookeun Park, Seongmin Lee, Joonbum Bae |
| 2018 | ICSE | MOBS: multi-operator observation-based slicing using lexical approximation of program dependence. | Seongmin Lee, David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo |
| 2017 | SSBSE | Hyperheuristic Observation Based Slicing of Guava. | Seongmin Lee, Shin Yoo |
| 2016 | SSBSE | Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV. | Jeongju Sohn, Seongmin Lee, Shin Yoo |