余仁萍

作者: 时间:2024-01-10 点击数:

余仁萍

副教授、硕士生导师

电子邮箱:

yurenping@zzu.edu.cn

办公室:

电气与信息工程学院1216

研究方向:

医学图像处理、模式识别、人工智能

教育背景

2012/09-2017/12,南京理工大学,计算机科学与工程学院,博士

2015/09-2016/09,北卡罗来纳大学教堂山分校,医学院,联合培养博士(公派)

2008/09-2012/06,南京理工大学,理学院,学士

工作经历

Ø  2017/12-2019/12,郑州大学,电气工程学院,讲师

Ø  2020/01-2022/12,郑州大学,电气工程学院,副教授(直聘)

Ø  2023/01-至今, 郑州大学,电气与信息工程学院,副教授

科研项目

Ø  (主持)国家自然科学基金青年项目,2020.01-2022.12  

Ø  (主持)河南省重点研发与推广专项项目,2019.01-2020.12

Ø  (主持)河南省重点研发与推广专项项目,2024.01-2025.12

Ø  (主持)河南省留学回国人员择优资助项目,2021.01-2022.12

主要论著

 

[1] Renping Yu, Cong Pan, Lingbin Bian, Xuan Fei, Mingming Chen, Dinggang Shen, Sparsity-guided Multiple Functional Connectivity Patterns for Classification of Schizophrenia via Convolutional Network. Human Brain Mapping, 2023, 44(12):4523–4534.

[2] Renping Yu, Cong Pan, Xuan Fei, Mingming Chen*, and Dinggang Shen*, Multi-Graph Attention Networks with Bilinear Convolution for Diagnosis of Schizophrenia. IEEE Journal of Biomedical and Health Informatics, 2023, 27(3): 1443-1454.

[3] Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, and Dinggang Shen. Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. IEEE Journal of Biomedical and Health Informatics, 2022, 27(1): 469-479.

[4] Cong Pan, Haifei Yu, Xingjuan Zheng, Xuan Fei, and Renping Yu*. Temporal-Spatial Dynamic Functional Connectivity Analysis in Schizophrenia Classification. Frontiers in Neuroscience, 2022, 16.

[5] Xuan Fei, Jianyu Miao, Yujuan Zhao, Wei Huang, Renping Yu*. Total Variation Regularized Low-Rank Model with Directional Information for Hyperspectral Image Restoration. IEEE Access, 2021, 9: 84156-84169.

[6] Mingming Chen, Yajie Zhu, Renping Yu, Yuxia Hu, Hong Wan, Rui Zhang, Dezhong Yao, and Daqing Guo. Insights on the role of external globus pallidus in controlling absence seizures. Neural Networks. 2021, 135: 78-90.

[7] 余仁萍,余海飞,万红,基于静息态功能磁共振成像的精神分裂症脑网络特征分类研究,生物医学工程学杂志,2020, 37(4): 661-669.

[8] Zhen Zhou, Xiaobo Chen, Yu Zhang, Dan Hu, Lishan Qiao, Renping Yu, Pew‐Thian Yap, Gang Pan, Han Zhang, and Dinggang Shen. A toolbox for brain network construction and classification (BrainNetClass). Human brain mapping, 2020, 41(10): 2808-2826.

[9] Renping Yu, Lishan Qiao, Mingming Chen, Seong-Whan Lee, Xuan Fei*, Dinggang Shen*. Weighted graph regularized sparse brain network construction for MCI identification. Pattern Recognition, 2019, 90: 220-231.

[10] Xuan Fei, Lei Li, Heling Cao, Jianyu Miao, Renping Yu*. Views Dependency and Low Rank Background Guided Compressed Sensing for Multi-view Image Joint Reconstruction. IET Image Processing, 2019.

[11] Xuan Fei, Renping Yu*, Lei Li, Guicai Wang. Adaptive PCA Transforms with Geometric Morphological Grouping for Image Noise Removal. Multimedia Tools and Applications, 2018, 77(18): 23353-23369.

[12] Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen*. Connectivity Strength-Weighted Sparse Group Representation-based Brain Network Construction for MCI Classification. Human Brain Mapping, 2017, 38(5): 2370-2383.

[13] Renping Yu, Liang Xiao*, Zhihui Wei. Coarse Classification to Region -Scalable Refining for White Matter Lesions Segmentation in Multi-channel MRI. CNS & neurological disorders drug targets, 2017, 16(2): 150-159.

[14] Minghui Deng#, Renping Yu#, Li Wang, Feng Shi, Pew-Thian Yap, Dinggang Shen*. Learning-based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. Medical physics, 2016, 43(12): 6588-6597.

[15] Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen*. Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. In the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October 17-21, 2016: 37-45.

[16] Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen*. Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. In International Workshop on Machine Learning in Medical Imaging, Athens, Greece, October, 2016: 213-220.

[17] Renping Yu, Liang Xiao, Zhihui Wei*, Xuan Fei. Automatic Segmentation of White Matter Lesions Using SVM and RSF Model in Multi-channel MRI. In the 8th International Conference on Image and Graphics, Tianjin, China, August, 2015: 654-663.

[18] 《MATLAB程序设计》,Stephen J. Chapman(著),费选,余仁萍,黄伟(译),机械工业出版社,2018年,ISBN:978-7-1116-0301-6.


奖励与荣誉

[1]    2021年,河南省自然科学学术奖优秀论文二等奖

[2]    2022年,河南省教育系统教学技能竞赛二等奖

[3]    2022年,郑州大学三育人先进个人荣誉

[4]    2023年,郑州大学优秀专业硕士学位论文指导教师

[5]    2023年,郑州大学青年骨干教师

[6]    2023年,华为杯第二十届中国研究生数学建模竞赛三等奖指导教师

 

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