Chengrong Yu, Ph.D. in Engineering, currently serves as an Assistant Researcher at the School of Software, Yunnan University, is member of the Chinese Association for Artificial Intelligence (CAAI), and the China Computer Federation (CCF). I received my Ph.D. from Sichuan University under the supervision of Professor Zhang Yi (章毅 教授).
My research interests are centered on artificial intelligence and its applications in the medical field, with particular emphasis on multimodal medical image analysis and intelligent radiotherapy planning. To date, I have published more than 10 papers in peer-reviewed journals such as Knowledge-Based Systems, Neurocomputing, and the International Journal of Neural Systems, holds five authorized invention patents, and serves as a reviewer for leading international conferences including CVPR and NeurIPS.
More information about my research Google Scholar, or don’t hesitate to contact me via email at yuchengrong@yun.edu.cn.
🔥 News
- 2025.09: 🎉🎉 Enrolled in the School of Software, Yunnan University🎓. Custom makes all things easy！
📝 Publications
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
-
[1] Chengrong Yu, Junjie Hu, Guangjun Li, Shenqian Zhu, Sen Bai, Zhang Yi. Segmentation for regions of interest in radiotherapy by self-supervised learning. Knowledge-Based Systems[J], 2022, 256: 109370.
-
[2] Chengrong Yu, Ying Song, Qiang Wang, Shengqian Zhu, Zhang Yi, Junjie Hu. Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation. Neurocomputing[J], 2024, 128573.
-
[3] Chengrong Yu, Ying Song, Qiang Wang, Zhonglian Wei, Zhang Yi, Guangjun Li, Junjie Hu. Enhancing Exploration and Exploitation in Radiotherapy Treatment Planning through Action-guided Deep Reinforcement Learning. International Journal of Neural Systems[J], 2026,36.07: 2650020.
-
[4] Junjie Hu, Chengrong Yu, Zhang Yi, Haixian Zhang. Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation. International Journal of Neural Systems[J], 2023, 33.12: 2350060:1-2350060:13.
-
[5] Shengqian Zhu, Chengrong Yu, Junjie Hu. Regularizing deep neural networks for medical image analysis with augmented batch normalization. Applied Soft Computing[J], 2024, 154: 111337.
-
[6] Shengqian Zhu, Chengrong Yu, Zhang Yi, Junjie Hu. Visual prompt-driven universal model for medical image segmentation in radiotherapy.Knowledge-Based Systems[J], 2025, 326:114006.
-
[7] Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation. Proceedings of the 33rd ACM International Conference on Multimedia(ACMM), 2025. p. 4688-4697.
-
[8] Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu.Class incremental medical image segmentation via prototype-guided calibration and dual-aligned distillation. Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 40. No. 16. 2026.
-
[9] Junjie Hu, Chengrong Yu, Shengqian Zhu, Haixian Zhang. Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy, International Journal of Intelligent Systems[J], 2024, 2024.1: 1728801.
-
[10] Yuan Yao, Chengrong Yu, Junjie Hu, Yan Zhang. Enhanced multi-objective evolutionary framework for fluence map optimization in intensity-modulated radiation therapy. 2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC). IEEE, 2023. p. 576-582.
📖 Educations
- 2019.09 - 2024.12, Sichuan University. Ph.D. in Computer Science and Technology.
- 2016.09 - 2019.12, Kunming University of Science and Technology. M.S. in Computer System Architecture.
- 2012.09 - 2016.12, Nanchang University. B.S. in Software Engineering.