| 2026 | SAC | Digital Twin-Based Motor Speed Ripple Control System with AI-Driven Virtual Sensing and Reinforcement Learning. | Jae-Seok Kim, Joonho Seo, Dongmin Park, Chansoo Park, Yoon-Ho Choi |
| 2025 | EMNLP | FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games. | Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim |
| 2025 | ICLR | Test-time Alignment of Diffusion Models without Reward Over-optimization. | Sunwoo Kim, Minkyu Kim, Dongmin Park |
| 2025 | ICLR | Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. | Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho |
| 2025 | ICLR | Active Learning for Continual Learning: Keeping the Past Alive in the Present. | Jaehyun Park, Dongmin Park, Jae-Gil Lee |
| 2024 | AAAI | Adaptive Shortcut Debiasing for Online Continual Learning. | Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee |
| 2024 | ICML | One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. | Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee |
| 2023 | ICML | Context Consistency Regularization for Label Sparsity in Time Series. | Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee |
| 2022 | AAAI | Meta-Learning for Online Update of Recommender Systems. | Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee |
| 2022 | ICDM | Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. | Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee |
| 2021 | KDD | Robust Learning by Self-Transition for Handling Noisy Labels. | Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee |
| 2020 | KDD | Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. | Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee |
| 2020 | WWW | TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. | Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee |
| 2019 | ICCV | Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. | Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee |
| 2006 | ISCAS | A power-optimized CMOS LC VCO with wide tuning range in 0.5-V supply. | Dongmin Park, SeongHwan Cho |