个人简介
王洪，男，博士，副教授，博士生导师。文学学士（英语专业）、工学硕士（计算机应用技术专业）、理学博士（统计学专业）、美国加州大学洛杉矶分校（UCLA）生物统计专业博士后。国家认证高级程序员、系统分析师。主要从事机器学习和生物统计等方面的研究工作。在Statistics in Medicine、Artificial Intelligence in Medicine 、Knowledge-Based Systems、Reliability Engineering and System Safety等统计和机器学习期刊发表SCI论文30余篇，获软件著作权1项。主持和参加国家社科基金、国家自科基金项目4项，主持全国统计科研项目重点项目、教育部人文社科基金等省部级目4项，主持企业合作横向课题多项。 是30余种SCI杂志的审稿人，如Statistics in Medicine、Statistica Sinica、Computational Statistics and Data Analysis等知名统计期刊，Artificial Intelligence in Medicine、Computers in Biology and Medicine等知名医学信息学期刊，Neural Networks、Expert System with Applications、Information Sciences等知名机器学习期刊。
代表性论文(#表示共同作者，*表示通讯作者)：
Badamasi Abba, Hong Wang*, A Robust Bathtub-shaped Failure Time Model for a Two-Component System with Applications to Complete and Censored Reliability Data, Quality Technology & Quantitative Management, 2023, https://www.tandfonline.com/doi/full/10.1080/16843703.2023.2193771 (SCI, JCR1区, IF=2.614 )
Xuewei Cheng, Hong Wang*, A Generic Model-Free Feature Screening Procedure for Ultra-high Dimensional Data with Categorical Response, Computer Methods and Programs in Biomedicine, 2023, 229: 107269 (SCI, JCR1区, IF=7.027)
Hong Wang, Zhenyuan Shen, Zhelun Tan, Zhuan Zhang, Gang Li*, Fast Lasso-type Safe Screening for Fine-Gray Competing Risks Model with Ultrahigh Dimensional Covariates, Statistics in Medicine , 2022, 41(24): 4941-4960 (SCI, JCR1区, IF=2.497)
Badamasi Abba, Hong Wang*, Hassan S. Bakouch, A Reliability and Survival Model for One and Two Failure Modes System with Applications to Complete and Censored Datasets，Reliability Engineering and System Safety，2022, 223: 108460（SCI，JCR1区，IF=6.188）
Zhou, Lifeng, Wang, Hong*. A Combined Feature Screening Approach of Random Forest and Filter-based Methods for Ultra-high Dimensional Data, Current Bioinformatics, 2022, 17(4): 394 -407 (SCI, JCR1区，IF=4.85)
Hong Wang, Ning Li, Shanpeng Li, and Gang Li*, JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks, R Journal, 2021, 13(1): 53-68 (SCI, JCR1区，IF=3.984)
Wang, Hong, and Gang Li*."Extreme Learning Machine Cox Model for High Dimensional Survival Analysis", Statistics in Medicine, 38.12, (2019): 2139-2156, (SCI, JCR1区, IF=1.932)
Wang, Hong, and Lifeng Zhou*. "SurvELM: an R package for high dimensional survival analysis with extreme learning machine", Knowledge-Based Systems, 160 (2018):28-33. （SCI,JCR1区, IF=4.396)
Zhou, Lifeng, Hong Wang*, and Qingsong Xu. "Survival forest with partial least squares for high dimensional censored data." Chemometrics and Intelligent Laboratory Systems 175 (2018), 12-21.（SCI,JCR1区, IF=2.701)
Wang, Hong, and Lifeng Zhou*. "Random survival forest with space extensions for censored data." Artificial Intelligence in Medicine 79 (2017): 52-61.（SCI,JCR1区, IF=2.879)