| 2025 | ICCAD | Target Circuit Matching in Large-Scale Netlists Using GNN-Based Region Prediction. | Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park |
| 2025 | ICLR | Subgraph Federated Learning for Local Generalization. | Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park |
| 2025 | ICLR | Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. | Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn |
| 2024 | EMNLP | Calibrating Language Models with Adaptive Temperature Scaling. | Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn |
| 2024 | ICLR | Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. | Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn |
| 2024 | ICLR | Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. | Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn |
| 2024 | KDD | Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. | Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park |
| 2024 | UIST | Clarify: Improving Model Robustness With Natural Language Corrections. | Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn |
| 2023 | ICLR | Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. | Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn |
| 2023 | ICLR | Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement. | Yoonho Lee, Huaxiu Yao, Chelsea Finn |
| 2023 | ICML | DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. | Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn |
| 2021 | MMM | IVIST: Interactive Video Search Tool in VBS 2021. | Yoonho Lee, Heeju Choi, Sungjune Park, Yong Man Ro |
| 2021 | UAI | On the distribution of penultimate activations of classification networks. | Minkyo Seo, Yoonho Lee, Suha Kwak |
| 2019 | ICML | Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. | Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh |
| 2018 | ICML | Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. | Yoonho Lee, Seungjin Choi |