Changkun Ye

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Gaussian Process

Cost Sensitive Learning

Reinforcement Learning

Top Venues

Publications

Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li
Latent-based Diffusion Model for Long-tailed Recognition. CoRR (2024)
Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach. WACV (2024)
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
Model Calibration in Dense Classification with Adaptive Label Perturbation. CoRR (2023)
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
Model Calibration in Dense Classification with Adaptive Label Perturbation. ICCV (2023)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. ICPR (2022)
Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning. CoRR (2022)
Changkun Ye, Huimin Ma, Xiaoqin Zhang, Kai Zhang, Shaodi You
Survival-Oriented Reinforcement Learning Model: An Effcient and Robust Deep Reinforcement Learning Algorithm for Autonomous Driving Problem. ICIG (2) (2017)