| 2025 | CVPR | Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation. | Jongmin Yu, Zhongtian Sun, Chen Bene Chi, Jinhong Yang, Shan Luo |
| 2025 | WWW | Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. | Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Li |
| 2024 | ICRA | Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing. | Jongmin Yu, Chen Bene Chi, Sebastiano Fichera, Paolo Paoletti, Devansh Mehta, Shan Luo |
| 2023 | ICRA | Multi-source Domain Adaptation for Unsupervised Road Defect Segmentation. | Jongmin Yu, Hyeontaek Oh, Sebastiano Fichera, Paolo Paoletti, Shan Luo |
| 2022 | ICDM | Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. | Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi |
| 2022 | ICRA | Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. | Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh |
| 2021 | IROS | Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary. | Jongmin Yu, Hyeontaek Oh |
| 2019 | AVSS | Spatio-Temporal Feature Extraction and Distance Metric Learning for Unconstrained Action Recognition. | Yongsang Yoon, Jongmin Yu, Moongu Jeon |
| 2018 | ICIP | Deep Discriminative Representation Learning for Face Verification and Person Re-Identification on Unconstrained Condition. | Jongmin Yu, Donghwuy Ko, Hangyul Moon, Moongu Jeon |
| 2017 | AVSS | Learning Feature Representation for Face Verification. | Sangwoo Park, Jongmin Yu, Moongu Jeon |
| 2016 | ACCV | Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection. | Jongmin Yu, Sangwoo Park, Sangwook Lee, Moongu Jeon |