Chengrong Yu

According to our database, Chengrong Yu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

Chengrong Yu, Zhonglian Wei, Yuncheng Shen, Yingyong Yin, Zhang Yi, Ying Song, Guangjun Li, Junjie Hu

Int. J. Neural Syst., July, 2026

Cascaded neural memory ODEs for predicting fluence maps in rectal cancer IMRT.

Xiangjie Tan, Ying Song, Qiang Wang, Chengrong Yu, Zhang Yi, Junjie Hu

Pattern Recognit., 2026

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation.

Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation.

Shengqian Zhu, Jiafei Wu, Xiaogang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu

CoRR, September, 2025

Visual prompt-driven universal model for medical image segmentation in radiotherapy.

Shengqian Zhu, Chengrong Yu, Zhang Yi, Junjie Hu

Knowl. Based Syst., 2025

PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation.

Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation.

Chengrong Yu, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, Junjie Hu

Neurocomputing, 2024

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.

Junjie Hu, Chengrong Yu, Shengqian Zhu, Haixian Zhang

Int. J. Intell. Syst., 2024

Make Continual Learning Stronger via C-Flat.

Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Zixiang Zhao, Mang Wang, Aojun Lu, Tao Feng

CoRR, 2024

Regularizing deep neural networks for medical image analysis with augmented batch normalization.

Shengqian Zhu, Chengrong Yu, Junjie Hu

Appl. Soft Comput., 2024

Make Continual Learning Stronger via C-Flat.

Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Mang Wang, Zixiang Zhao, Aojun Lu, Pengliang Ji, Tao Feng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation.

Junjie Hu, Chengrong Yu, Zhang Yi, Haixian Zhang

Int. J. Neural Syst., December, 2023

2022

Segmentation for regions of interest in radiotherapy by self-supervised learning.

Chengrong Yu, Junjie Hu, Guiyuan Li, Shengqian Zhu, Sen Bai, Zhang Yi

Knowl. Based Syst., 2022