| 2026 | AAAI | Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation. | Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee |
| 2026 | AAAI | MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control. | Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee |
| 2026 | CHI | State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living. | Juheon Choi, Juyong Lee, Jian Kim, Chanyoung Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee |
| 2025 | AAAI | DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models. | Daewon Chae, June Suk Choi, Jinkyu Kim, Kimin Lee |
| 2025 | ACL | What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs. | Sangyeop Kim, Yohan Lee, Yongwoo Song, Kimin Lee |
| 2025 | ACL | Enhancing LLM Agent Safety via Causal Influence Prompting. | Dongyoon Hahm, Woogyeol Jin, June Suk Choi, Sungsoo Ahn, Kimin Lee |
| 2025 | ACL | Understanding Impact of Human Feedback via Influence Functions. | Taywon Min, Haeone Lee, Yongchan Kwon, Kimin Lee |
| 2025 | CVPR | Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models. | Sangwon Jang, June Suk Choi, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang |
| 2025 | EMNLP | Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers. | Eugene Jang, Kimin Lee, Jin-Woo Chung, Keuntae Park, Seungwon Shin |
| 2025 | ICLR | DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. | June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee |
| 2025 | ICLR | Subtask-Aware Visual Reward Learning from Segmented Demonstrations. | Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee |
| 2025 | ICLR | Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment. | Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim |
| 2025 | ICLR | Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents. | Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee |
| 2025 | ICLR | Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. | Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee |
| 2025 | ICLR | Latent Action Pretraining from Videos. | Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo |
| 2025 | SENSYS | SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay. | Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee |
| 2024 | AIES | Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. | Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham |
| 2024 | CVPR | Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences. | Minyoung Hwang, Luca Weihs, Chanwoo Park, Kimin Lee, Aniruddha Kembhavi, Kiana Ehsani |
| 2024 | EMNLP | Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. | Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee |
| 2024 | EMNLP | By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting. | Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee |
| 2024 | ICLR | Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. | Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee |
| 2023 | ICLR | Preference Transformer: Modeling Human Preferences using Transformers for RL. | Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2023 | ICML | Controllability-Aware Unsupervised Skill Discovery. | Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel |
| 2023 | ICML | Multi-View Masked World Models for Visual Robotic Manipulation. | Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel |
| 2022 | AAAI | Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. | Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia |
| 2022 | CoRL | Masked World Models for Visual Control. | Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel |
| 2022 | ICIP | HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. | Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel |
| 2022 | ICLR | Reward Uncertainty for Exploration in Preference-based Reinforcement Learning. | Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel |
| 2022 | ICLR | SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. | Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2022 | ICML | Reinforcement Learning with Action-Free Pre-Training from Videos. | Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel |
| 2022 | ICRA | Towards More Generalizable One-shot Visual Imitation Learning. | Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel |
| 2021 | AAAI | MASKER: Masked Keyword Regularization for Reliable Text Classification. | Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin |
| 2021 | CoRL | Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. | Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin |
| 2021 | CoRL | Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. | Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin |
| 2021 | ICLR | Learning to Sample with Local and Global Contexts in Experience Replay Buffer. | Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2021 | ICML | SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. | Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel |
| 2021 | ICML | PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. | Kimin Lee, Laura M. Smith, Pieter Abbeel |
| 2021 | ICML | State Entropy Maximization with Random Encoders for Efficient Exploration. | Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2021 | ICML | Decoupling Representation Learning from Reinforcement Learning. | Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin |
| 2021 | IJCAI | Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. | Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh |
| 2020 | CVPR | Regularizing Class-Wise Predictions via Self-Knowledge Distillation. | Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin |
| 2020 | ICLR | Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. | Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee |
| 2020 | ICML | Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. | Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin |
| 2019 | CVPR | Incremental Learning with Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICCV | Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICML | Using Pre-Training Can Improve Model Robustness and Uncertainty. | Dan Hendrycks, Kimin Lee, Mantas Mazeika |
| 2019 | ICML | Robust Inference via Generative Classifiers for Handling Noisy Labels. | Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin |
| 2018 | CVPR | Hierarchical Novelty Detection for Visual Object Recognition. | Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee |
| 2018 | ICLR | Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. | Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin |
| 2017 | ICML | Confident Multiple Choice Learning. | Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin |
| 2016 | INFOCOM | Just-in-time WLANs: On-demand interference-managed WLAN infrastructures. | Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong |
| 2016 | SECON | TravelMiner: On the Benefit of Path-Based Mobility Prediction. | Jaeseong Jeong, Kyunghan Lee, Beknazar Abdikamalov, Kimin Lee, Song Chong |