Published in Artificial intelligence in medicine, 2017
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Recommended citation: Hong Wang, Lifeng Zhou, "Random survival forest with space extensions for censored data." Artificial intelligence in medicine, 2017.
Published in Knowledge-Based Systems, 2018
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Recommended citation: Hong Wang, Lifeng Zhou, "SurvELM: an R package for high dimensional survival analysis with extreme learning machine." Knowledge-Based Systems, 2018.
Published in Journal of Computational Biology, 2018
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Recommended citation: Hong Wang, Xiaolin Chen, Gang Li, "Survival forests with R-squared splitting rules." Journal of Computational Biology, 2018.
Published in Applied Intelligence, 2018
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Recommended citation: Hong Wang, Jianxin Wang, Lifeng Zhou, "A survival ensemble of extreme learning machine." Applied Intelligence, 2018.
Published in Chemometrics and Intelligent Laboratory Systems, 2018
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Recommended citation: Lifeng Zhou, Hong Wang, Qingsong Xu, "Survival forest with partial least squares for high dimensional censored data." Chemometrics and Intelligent Laboratory Systems, 2018.
Published in Statistics in medicine, 2019
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Recommended citation: Hong Wang, Gang Li, "Extreme learning machine Cox model for high-dimensional survival analysis." Statistics in medicine, 2019.
Published in Reliability Engineering & System Safety, 2022
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Recommended citation: Badamasi Abba, Hong Wang, Hassan Bakouch, "A reliability and survival model for one and two failure modes system with applications to complete and censored datasets." Reliability Engineering & System Safety, 2022.
Published in Applied Stochastic Models in Business and Industry, 2022
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Recommended citation: Hong Wang, Badamasi Abba, Jianxin Pan, "Classical and Bayesian estimations of improved Weibull--Weibull distribution for complete and censored failure times data." Applied Stochastic Models in Business and Industry, 2022.
Published in Statistics in medicine, 2022
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Recommended citation: 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.
Published in Biomedical Signal Processing and Control, 2023
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Recommended citation: Xuewei Cheng, Sizheng Wang, Yi Zou, Badamasi Abba, Hong Wang, "Deep survival forests with feature screening." Biomedical Signal Processing and Control, 2023.
Published in Computer Methods and Programs in Biomedicine, 2023
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Recommended citation: 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.
Published in R J., 2023
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Recommended citation: Hanpu Zhou, Hong Wang, Sizheng Wang, Yi Zou, "SurvMetrics: An R package for Predictive Evaluation Metrics in Survival Analysis.." R J., 2023.
Published in Quality Technology & Quantitative Management, 2024
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Recommended citation: Badamasi Abba, Hong Wang, Mustapha Muhammad, Hassan Bakouch, "A robust bathtub-shaped failure time model for a two-component system with applications to complete and censored reliability data." Quality Technology & Quantitative Management, 2024.
Published in Statistics in Medicine, 2024
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Recommended citation: Zili Liu, Hong Wang, "Simultaneous variable selection and estimation for survival data via the Gaussian seamless-L 0 L _0 penalty." Statistics in Medicine, 2024.
Published in Quality and Reliability Engineering International, 2025
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Recommended citation: Muhammad Ishfaq, Hong Wang, Farzana Noor, Badamasi Abba, "Flexible Bayesian Framework for Analyzing Heterogeneous Lifetime Data Using Weighted Inverse Rayleigh Mixtures." Quality and Reliability Engineering International, 2025.
Published in International Statistical Review, 2025
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Recommended citation: Bing Tian, Hong Wang, "Feature Screening for Ultrahigh Dimensional Mixed Data via Wasserstein Distance." International Statistical Review, 2025.
Published in Big Data, 2025
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Recommended citation: Hong Wang, Ling Hong, "A fast survival support vector regression approach to large scale credit scoring via safe screening." Big Data, 2025.
Published in Biomedical Signal Processing and Control, 2025
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Recommended citation: Hanpu Zhou, Xinyi Zhang, Hong Wang, "Highly censored survival analysis via data augmentation." Biomedical Signal Processing and Control, 2025.
Published in Statistics and Computing, 2026
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Recommended citation: Zili Liu, Hong Wang, "Variable selection and estimation for PSH regression models via generalized seamless-$$ L_0 $$ penalty." Statistics and Computing, 2026.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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