教授、博士生导师
研究领域
数据治理
精准扶贫和乡村振兴
精准医学
学习经历
学士（1988.9-1992.7）北京师范大学，化学；
硕士（1994.9-1997.7）北京师范大学，化学；
博士（2003.1-2008.12）美国威斯康星大学密尔沃基分校，计算机科学
工作经历
1997.8-1999.7，北京师范大学, 化学系讲师
2009.8-2017.8，美国威斯康星大学麦迪逊分校,放射系科学家
2017.9- 至今，霍尼韦尔国际公司（Honeywell International），高级工程师/数据科学家
2020.1- 至今，北京师范大学（珠海），教授
代表论文
章文光, 宫 钰, 吴义熔, 基于致贫原因的帮扶措施精准性评估分析, 公共管理与政策评论, 2021, 4, 26-35
章文光, 吴义熔, 宫钰, 建档立卡贫困户的返贫风险预测及返贫原因分析——基于2019年25省（区、市）建档立卡实地监测调研数据, 改革, 2020, 12.
胡枫, 吴义熔, 董方敏, 邹耀斌, 孙水发，高速简单循环单元网络，控制与决策，2020, 36(4)
X. Wei, Y. Wu, F. Dong, J. Zhang and S. Sun, “Developing an image manipulation detection algorithm based on edge detection and Faster R-CNN”, Symmetry, 11(10), 1223, 2019
C. Liu, X. Chen, and Y. Wu, “A modified grey world method to detect and restore colour cast images”, IET Image Processing, 13(7), 2019
Y. Wu, J. Fan, P. Peissig, R Berg, J. Yin, M. Yuan, D. Page, J. Cox, E. Burnside, “Quantifying predictive capability of electronic health records for the most harmful breast cancer”. Proceedings of SPIE Medical Imaging, Vol. 10577, 2018
J. Fan, Y. Wu, M. Yuan, D. Page, J. Liu, I. Ong, P. Peissig, E.S. Burnside, “Structure-leveraged methods in breast cancer risk prediction”, J. Machine Learning Research, 17, 1-15, 2016
M. Benndorf, Y. Wu, and E.S. Burnside, “A history of breast cancer and older age allow for risk stratification of mammographic BI-RADS 3 ratings in the diagnostic setting”, Clinical Imaging, 40（2）, pp. 200-204, 2016
E.S. Burnside, J. Liu, Y. Wu, A.A. Onitilo, C. McCarty, D.C. Page, P. Peissig, A. Trentham-Dietz, T. Kitchner, J. Fan, and M. Yuan, “Comparing mammography abnormality features and genetic variants in the prediction of breast cancer in women recommended for breast biopsy”, Academic Radiology, 23, pp. 62, 2016
Y. Wu, C. Abbey, X. Chen, J. Liu, D.C. Page, O. Alagoz, P. Peissig, A.A. Onitilo, and E.S. Burnside, “Developing a utility framework to evaluate predictive models in breast cancer risk estimation”, J. of Medical Imaging, 2(4), 2015
Y. Wu, D. L. Rubin, R. W. Woods, M. Elezaby, and E.S. Burnside, “Developing a comprehensive database management system for organization and evaluation of mammography datasets”, Cancer Informatics, 13(S3), pp. 53, 2014.
Y. Wu, J. Liu, D. C. Page, P. Peissig, C.McCarty, A. A. Onitilo, and E.S. Burnside, “Comparing the value of mammographic features and genetic variants in breast cancer risk prediction”, Proceedings of the American Medical Informatics Association (AMIA), 2014.
Y. Wu, O. Alagoz, M. Ayvaci, A. Munoz Del Rio, D. Vanness, E.S. Burnside, “A comprehensive methodology for determining the most informative mammographic features”, J. Digital Imaging, 26(5), pp. 941, 2013.
主持或参与项目
国家社会科学基金 (2020-2022), 基于数据语义化的电子病历数据质量研究, 主持
威斯康星大学 (2016-2018), Translating Novel Breast Cancer Genetic Markers from the Bench to the Clinic, 参与
威斯康星大学 (2015-2016), Breast Cancer Phenotyping and Prediction using the Electronic Health Record (EHR), 主持
NIH Centers of Excellence for Big Data Computing (2014-2017), The Center for Predictive Computational Phenotyping, 参与
NIH (2012-2017), Informatics Techniques to Optimize Mammography for Aging Populations, 参与
NIH (2011-2015), Integrating Machine Learning and Physician Expertise for Breast Cancer Diagnosis, 参与
联系方式
yrwu@bnu.edu.cn