● 2023/06 ~ 至今 复旦大学，工程与应用技术研究院，博士后（导师：他得安教授）

● 2020/09 ~ 2023/06  复旦大学，生物医学工程专业，工学博士（导师：他得安 教授）

● 2017/09 ~ 2020/06  上海工程技术大学，智能感知与控制，工学硕士

● 2013/09 ~ 2017/06  上海第二工业大学，自动化，工学学士

● 超声成像及医学影像处理

● 多模态、多组学疾病智能诊断

● 2023年 上海市“超级博士后”激励计划

● 2023年 复旦大学“超级博士后”激励计划

● 2023年 复旦大学校优秀毕业生

● 2020年 上海市优秀毕业生

● 2019年 宝钢教育基金优秀学生奖

● 2019年 研究生国家奖学金

● 2017年 上海市优秀毕业生

● 主持，中国博士后科学基金第74批面上资助项目，肺超声成像智能诊断ARDS危险分级理论与方法研究

● 参与，国家自然科学基金重点项目，多层复杂生物组织中超声传播和调控新机理及其信息深度挖掘方法研究

● 参与，上海市科技重大专项，重症化预警预测体系建立及真实世界研究

● 参与，复旦大学医工结合项目，基于Transformer的肺炎CT影像病灶弱监督分割及表征研究

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[2] WY Xing, W He, XL Li, et al., Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation. Computer Methods and Programs in Biomedicine, 2022, 221: 106869.

[3] WY Xing, C He, JW Li, et al., Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model. Biomedical signal processing and control, 2022, 75: 103561.

[4] WY Xing, GN Li, C He, et al., Automatic detection of A‐line in lung ultrasound images using deep learning and image processing. Medical Physics, 2023, 50(1), 330-343.

[5] WY Xing, YW Liu, C He, et al., Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model. 2023 IEEE International Ultrasonics Symposium (IUS), 1-4.

[6] WY Xing, M Yu, Xin Liu, et al., A Mumford-Shah Model-based Method for Inpainting Markers in Ultrasound Images. 2023 International Congress on Ultrasonics (ICU), 1-6.

[7] T Jiang, WY Xing, M Yu, et al., A hybrid enhanced attention transformer network for medical ultrasound image segmentation. Biomedical Signal Processing and Control, 2023, 86: 105329.

[8] YW Liu, WY Xing, MB Zhao, et al., A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module. Neural Computing and Applications, 2023, 35(23): 17187-17199.

[9] YW Liu, WY Xing, MB Zhao, et al., An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation. 2023 Medical Imaging with Deep Learning, 198: 1-10.

[10] QH Huang, Y Lei, WY Xing, et al., Evaluation of pulmonary edema using ultrasound imaging in patients with COVID-19 pneumonia based on a non-local Channel attention ResNet. Ultrasound in medicine & biology, 2022, 48 (5), 945-953.