| 2026 | CHI | Evalet: Evaluating Large Language Models through Functional Fragmentation. | Tae Soo Kim, Heechan Lee, Yoonjoo Lee, Joseph Seering, Juho Kim |
| 2026 | CHI | ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference. | Kihoon Son, DaEun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim |
| 2025 | CHI | Interacting with AI by Manipulating Intents. | Tae Soo Kim |
| 2024 | CHI | EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. | Tae Soo Kim, Yoonjoo Lee, Jamin Shin, Young-Ho Kim, Juho Kim |
| 2024 | CHI | Demystifying Tacit Knowledge in Graphic Design: Characteristics, Instances, Approaches, and Guidelines. | Kihoon Son, Daeun Choi, Tae Soo Kim, Juho Kim |
| 2024 | CHI | GenQuery: Supporting Expressive Visual Search with Generative Models. | Kihoon Son, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Juho Kim |
| 2024 | ECCV | Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data. | Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo |
| 2024 | MICCAI | SelectiveKD: A Semi-supervised Framework for Cancer Detection in DBT Through Knowledge Distillation and Pseudo-labeling. | Laurent Dillard, Hyeonsoo Lee, Weonsuk Lee, Tae Soo Kim, Ali Diba, Thijs Kooi |
| 2023 | CHI | DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children's Why and How Questions. | Yoonjoo Lee, Tae Soo Kim, Sungdong Kim, Yohan Yun, Juho Kim |
| 2023 | UIST | Papeos: Augmenting Research Papers with Talk Videos. | Tae Soo Kim, Matt Latzke, Jonathan Bragg, Amy X. Zhang, Joseph Chee Chang |
| 2023 | UIST | Cells, Generators, and Lenses: Design Framework for Object-Oriented Interaction with Large Language Models. | Tae Soo Kim, Yoonjoo Lee, Minsuk Chang, Juho Kim |
| 2022 | CHI | Stylette: Styling the Web with Natural Language. | Tae Soo Kim, Daeun Choi, Yoonseo Choi, Juho Kim |
| 2022 | CHI | Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph Annotation. | Yoonjoo Lee, John Joon Young Chung, Tae Soo Kim, Jean Y. Song, Juho Kim |
| 2022 | MICCAI | Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. | Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi |
| 2022 | WACV | Learning from Synthetic Vehicles. | Tae Soo Kim, Bohoon Shim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager |
| 2021 | AAAI | DASZL: Dynamic Action Signatures for Zero-shot Learning. | Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager |
| 2021 | CHI | Winder: Linking Speech and Visual Objects to Support Communication in Asynchronous Collaboration. | Tae Soo Kim, Seungsu Kim, Yoonseo Choi, Juho Kim |
| 2021 | ICCV | Motion Guided Attention Fusion to Recognize Interactions from Videos. | Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager |
| 2020 | CHI | Consensus Building in Collaborative Sequencing with Visual Awareness. | Tae Soo Kim, Sungsoo Ray Hong, Nitesh Goyal, Jeongyeon Kim, Juho Kim |
| 2019 | WACV | Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis. | Tae Soo Kim, Michael Peven, Weichao Qiu, Alan L. Yuille, Gregory D. Hager |
| 2018 | MICCAI | Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery. | Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula |
| 2017 | CVPR | Interpretable 3D Human Action Analysis with Temporal Convolutional Networks. | Tae Soo Kim, Austin Reiter |
| 2009 | SMC | Model Predictive Control of Velocity and Torque Split in a Parallel Hybrid Vehicle. | Tae Soo Kim, Chris Manzie, Rahul Sharma |