| 2026 | AAAI | Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data. | Youngmin Oh, Hyung-Il Kim, Jung Uk Kim |
| 2026 | WACV | GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search. | Hyunju Lee, Youngmin Oh, Jeimin Jeon, Donghyeon Baek, Bumsub Ham |
| 2025 | AAAI | Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions. | Youngmin Oh, Hyunju Lee, Bumsub Ham |
| 2025 | CVPR | Subnet-Aware Dynamic Supernet Training for Neural Architecture Search. | Jeimin Jeon, Youngmin Oh, Junghyup Lee, Donghyeon Baek, Dohyung Kim, Chanho Eom, Bumsub Ham |
| 2025 | DAC | INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers. | Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan |
| 2025 | ICCAD | PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning. | Seunggeun Kim, Ziyi Wang, Sungyoung Lee, Youngmin Oh, Hanqing Zhu, Doyun Kim, David Z. Pan |
| 2025 | ICCAD | M3: Mamba-assisted Multi-Circuit Optimization via Model-based RL with Effective Scheduling. | Youngmin Oh, Jinje Park, Taejin Paik, Seunggeun Kim, Suwan Kim, Yoon Hyeok Lee, David Z. Pan |
| 2025 | ICCV | SADWA: Fine-Grained Weather Awareness with Vision-Language Models for Seamless Autonomous Driving in Real Time. | Jinwoo Kim, Hayeon O, Youngmin Oh, Kyounghwan An, Donghwan Lee |
| 2025 | ICLR | Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline. | Hongjoon Ahn, Jinu Hyeon, Youngmin Oh, Bosun Hwang, Taesup Moon |
| 2024 | DAC | TraceFormer: S-parameter Prediction Framework for PCB Traces based on Graph Transformer. | Doyun Kim, Jaemin Park, Youngmin Oh, Bosun Hwang |
| 2024 | DATE | CRONuS: Circuit Rapid Optimization with Neural Simulator. | Youngmin Oh, Doyun Kim, Yoon Hyeok Lee, Bosun Hwang |
| 2024 | ECCV | MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection. | Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim |
| 2024 | ECCV | FYI: Flip Your Images for Dataset Distillation. | Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham |
| 2024 | ICASSP | Enhancing Audio-Visual Question Answering with Missing Modality via Trans-Modal Associative Learning. | Kyu Ri Park, Youngmin Oh, Jung Uk Kim |
| 2023 | ICCAD | GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing. | Yoon Hyeok Lee, Youngmin Oh, Gyohun Jeong, Mingyu Pi, Hyukil Kwon, Hakyoung Lim, Eungchae Kim, Sunghee Lee, Bosun Hwang |
| 2023 | ICCV | ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. | Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham |
| 2022 | ECCV | OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search. | Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham |
| 2022 | ICLR | Model-augmented Prioritized Experience Replay. | Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2021 | CVPR | Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. | Youngmin Oh, Beomjun Kim, Bumsub Ham |
| 2021 | ICCV | Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. | Donghyeon Baek, Youngmin Oh, Bumsub Ham |
| 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 |