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谢尚宏(副教授)

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谢尚宏 (副教授)

研究领域:机器学习、网络分析、图模型、函数型数据分析、精准医学、神经影像、高维数据分析


个人信息:

谢尚宏,副教授

西南财经大学统计学院,数据科学系

电子邮箱:xiesh@swufe.edu.cn

个人主页:https://shanghongxie.github.io/

简历:

美国哥伦比亚大学生物统计博士、博士后,2021年9月进入西南财经大学统计学院从事教学科研工作。

代表性论文:

  • Xie, S., Tarpey, T., Petkova, E. & Ogden, R.T. (2022). Multiple domain and multiple kernel outcome-weighted learning for estimating individualized treatment regimes, Journal of Computational and Graphical Statistics, Accepted.

  • COVID-19 Forecast Hub Consortium (including Xie, S.). (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US, Proceedings of the National Academy of Sciences of the United States of America, Vol. 119, pp. e2113561119.

  • Xie, S., Mcdonnell, E., Wang, Y. (2022). Conditional Gaussian graphical model for estimating personalized disease symptom networks, Statistics in Medicine, Vol. 41, pp. 543-553.

  • Xie, S., Zeng, D. & Wang, Y. (2021). Integrative network learning for multi-modality biomarker data, Annals of Applied Statistics, Vol. 15, pp. 64-87.

  • Xie, S., Li, X., McColgan, P., Scahill, I. R., Zeng, D. & Wang, Y. (2020). Identifying disease-associated biomarker network features through conditional graphical model, Biometrics, Vol. 76, pp. 995-1006.

  • Goldman, J., Xie, S., Green, D., Naini, A., Mansukhani, M.M., Marder, K. (2020). Predictive testing for neurodegenerative diseases in the age of next-generation sequencing, Journal of Genetic Counseling, Vol. 30, pp. 553-562.

  • Wang, Q., Xie, S., Wang, Y., & Zeng, D. (2020). Survival-convolution models for predicting COVID-19 cases and assessing effects of mitigation strategies, Frontiers in Public Health, Vol. 8, pp. 1-8.

  • Li, X.*, Xie, S.*, McColgan, P., Tabrizi, J. S., Scahill, I. R., Zeng, D. & Wang, Y. (2018). Learning subject-specific directed acyclic graphs with mixed effects structural equation models from observational data, Frontiers in Genetics, Vol. 9, pp. 1-13. (*: 共同第一作者,相同贡献)

  • Li, X., Xie, S., Zeng, D. & Wang, Y. (2018). Efficient l0-norm feature selection based on augmented and penalized minimization, Statistics in Medicine, Vol. 37, pp. 473-486.

  • Avissar, M.*, Xie, S.*, Vail, B., Calderon, L., Wang, Y., & Javitt, D. (2018). Meta-analysis of mismatch negativity to simple versus complex deviants in schizophrenia, Schizophrenia Research, Vol. 19, pp. 25-34. (*: 共同第一作者,相同贡献)


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