| 2026 | AAAI | A Paradigm Shift in High-Resolution Depth Estimation Using SPAD-Based LiDAR Histograms: From Signal Filtering to Lightweight Similarity Learning. | Minsung Lee, Seo Hyun Kim, Yeonsu Park, Hyeongseok Seo, Jongmin Lee |
| 2026 | DATE | ProCamo: A Fast Post-Manufacturing Programmable Camouflaged Logic Family. | Seo Hyun Kim, Minhyeok Jeong, Jongmin Lee |
| 2026 | DATE | Synthesizable PUF Design with Library Characterization for Secure Storage in Edge Devices. | Yuseong Lee, Donghyun Park, Jang Hyun Kim, Jongmin Lee |
| 2026 | DATE | A Digital Neural Array IC for Real-Time Neural Network Replication from Spike Activities. | Donghyun Park, Hajung Mun, Minhyeok Jeong, Dahee Kang, Jongmin Lee, Yoonmyung Lee |
| 2026 | PAKDD | Human Pose Estimation in Videos Using the Concept of A PID Controller. | Yeeun Kim, Jongmin Lee, Jangwon Lee |
| 2025 | AVSS | Facemover: Unsupervised face frontalization with embedding segments. | Jongmin Lee, Jaeyoon Lee, Hyoungjun Lim, Jongwook Choi, Jongwon Choi |
| 2025 | DATE | A Synthesizable Thyristor-Like Leakage-Based True Random Number Generator. | Seohyun Kim, Jang Hyun Kim, Jongmin Lee |
| 2025 | ICISSP | LLM-Based Fine-Grained ABAC Policy Generation. | Khang Mai, Nakul Ghate, Jongmin Lee, Razvan Beuran |
| 2025 | ICLR | SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation. | Jongmin Lee, Meiqi Sun, Pieter Abbeel |
| 2025 | ICLR | Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes. | Jongmin Lee, Ernest K. Ryu |
| 2025 | ICML | Near-Optimal Sample Complexity for MDPs via Anchoring. | Jongmin Lee, Mario Bravo, Roberto Cominetti |
| 2024 | CoRL | Body Transformer: Leveraging Robot Embodiment for Policy Learning. | Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel |
| 2024 | ICLR | Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies. | Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim |
| 2024 | IJCAI | Motion-Aware Heatmap Regression for Human Pose Estimation in Videos. | Inpyo Song, Jongmin Lee, Moonwook Ryu, Jangwon Lee |
| 2023 | CVPR | Learning Rotation-Equivariant Features for Visual Correspondence. | Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho |
| 2022 | CVPR | Self-Supervised Equivariant Learning for Oriented Keypoint Detection. | Jongmin Lee, Byungjin Kim, Minsu Cho |
| 2022 | DATE | CacheRewinder: Revoking Speculative Cache Updates Exploiting Write-Back Buffer. | Jongmin Lee, Jun-Yeon Lee, Taeweon Suh, Gunjae Koo |
| 2022 | ICLR | COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation. | Jongmin Lee, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez |
| 2022 | ICLR | GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems. | Youngsoo Jang, Jongmin Lee, Kee-Eung Kim |
| 2022 | ICLR | DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. | Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim |
| 2022 | ICML | Neural Tangent Kernel Analysis of Deep Narrow Neural Networks. | Jongmin Lee, Joo Young Choi, Ernest K. Ryu, Albert No |
| 2021 | BMVC | Self-Supervised Learning of Image Scale and Orientation. | Jongmin Lee, Yoonwoo Jeong, Minsu Cho |
| 2021 | ICLR | Representation Balancing Offline Model-based Reinforcement Learning. | Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim |
| 2021 | ICLR | Monte-Carlo Planning and Learning with Language Action Value Estimates. | Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim |
| 2021 | ICML | OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. | Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim |
| 2021 | WACV | Learning to Distill Convolutional Features into Compact Local Descriptors. | Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho |
| 2020 | AAAI | Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues. | Youngsoo Jang, Jongmin Lee, Kee-Eung Kim |
| 2020 | AAAI | Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. | Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim |
| 2020 | ECCV | Learning to Compose Hypercolumns for Visual Correspondence. | Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho |
| 2020 | ICML | Batch Reinforcement Learning with Hyperparameter Gradients. | Byung-Jun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim |
| 2019 | ACML | Trust Region Sequential Variational Inference. | Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim |
| 2019 | EMNLP | PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules. | Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim |
| 2019 | ICCV | Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. | Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho |
| 2018 | ECCV | Attentive Semantic Alignment with Offset-Aware Correlation Kernels. | Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho |
| 2018 | SMC | Seeking RSVP Task Features Correlated with P300 Speller Performance. | Kyungho Won, Moonyoung Kwon, Sunghan Lee, Sehyeon Jang, Jongmin Lee, Minkyu Ahn, Sung Chan Jun |
| 2017 | AISTATS | Hierarchically-partitioned Gaussian Process Approximation. | Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim |
| 2017 | IJCAI | Constrained Bayesian Reinforcement Learning via Approximate Linear Programming. | Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim |
| 2016 | ACCV | Multi-view Automatic Lip-Reading Using Neural Network. | Daehyun Lee, Jongmin Lee, Kee-Eung Kim |
| 2016 | GLOBECOM | Distributed Estimation of the Degree Distribution in Wireless Sensor Networks. | Sai Zhang, Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias |
| 2016 | IJCAI | Bayesian Reinforcement Learning with Behavioral Feedback. | Teakgyu Hong, Jongmin Lee, Kee-Eung Kim, Pedro A. Ortega, Daniel D. Lee |
| 2014 | ICCD | Ternary cache: Three-valued MLC STT-RAM caches. | Seokin Hong, Jongmin Lee, Soontae Kim |
| 2014 | VTC | Evolution for Mobile Contents Delivery Optimization. | Jicheol Lee, Hyungho Lee, Kyungmo Park, Jongmin Lee |
| 2013 | DSN | Improving SSD reliability with RAID via Elastic Striping and Anywhere Parity. | Jaeho Kim, Jongmin Lee, Jongmoo Choi, Donghee Lee, Sam H. Noh |
| 2013 | HPCA | Skinflint DRAM system: Minimizing DRAM chip writes for low power. | Yebin Lee, Soontae Kim, Seokin Hong, Jongmin Lee |
| 2013 | IJCNN | A parameter-free kernel design based on cumulative distribution function for correntropy. | Jongmin Lee, Pingping Zhu, Jos C. Prncipe |
| 2012 | ISLPED | Adopting TLB index-based tagging to data caches for tag energy reduction. | Jongmin Lee, Soontae Kim |
| 2012 | SAC | Real-time flash memory storage with Janus-FTL. | Jongmin Lee, Ahreum Kim, Moonju Park, Jongmoo Choi, Donghee Lee, Sam H. Noh |
| 2011 | ISLPED | TLB index-based tagging for cache energy reduction. | Jongmin Lee, Seokin Hong, Soontae Kim |
| 2011 | MICRO | Residue cache: a low-energy low-area L2 cache architecture via compression and partial hits. | Soontae Kim, Jongmin Lee, Jesung Kim, Seokin Hong |
| 2009 | ISLPED | An energy-delay efficient 2-level data cache architecture for embedded system. | Jongmin Lee, Soontae Kim |
| 2009 | SAC | CPS-SIM: configurable and accurate clock precision solid state drive simulator. | Jongmin Lee, Eujoon Byun, Hanmook Park, Jongmoo Choi, Donghee Lee, Sam H. Noh |
| 2007 | EMSOFT | Block recycling schemes and their cost-based optimization in nand flash memory based storage system. | Jongmin Lee, Sunghoon Kim, Hunki Kwon, Choulseung Hyun, Seongjun Ahn, Jongmoo Choi, Donghee Lee, Sam H. Noh |
| 2001 | SMC | A study on the hardware implementation for car license plate area extraction. | Jongmin Lee, Dongmun Ha, Yong Deak Kim |
| 2000 | ICIP | A New Approach for Image-Content Adaptive Mesh Generation. | Jongmin Lee, Yongyi Yang, Miles N. Wernick |