| 2025 | CVPR | Open Set Label Shift with Test Time Out-of-Distribution Reference. | Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes |
| 2025 | IJCNN | Enhancing Features in Long-tailed Data Using Large Vision Model. | Pengxiao Han, Changkun Ye, Jinguang Tong, Cuicui Jiang, Jie Hong, Li Fang, Xuesong Li |
| 2024 | CVPR | Latent-based Diffusion Model for Long-tailed Recognition. | Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li |
| 2024 | CVPR | Self-Calibrating Vicinal Risk Minimisation for Model Calibration. | Jiawei Liu, Changkun Ye, Ruikai Cui, Nick Barnes |
| 2024 | WACV | Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. | Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes |
| 2023 | ICCV | Model Calibration in Dense Classification with Adaptive Label Perturbation. | Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes |
| 2022 | ICPR | Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. | Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida |
| 2017 | ICIG | Survival-Oriented Reinforcement Learning Model: An Effcient and Robust Deep Reinforcement Learning Algorithm for Autonomous Driving Problem. | Changkun Ye, Huimin Ma, Xiaoqin Zhang, Kai Zhang, Shaodi You |