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团队新闻(Team News)

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团队新闻(Team News)-2026

less than 1 minute read

Published: February 05, 2026

2026

• [03/2026] 获批2项中南大学研究生创新项目（博士生张转、硕士生张恒各1项）！
• [02/2026] One paper accepted by Applied Intelligence！Congratulations！
• [01/2026] One paper accepted by Computing！ Congratulations！

团队新闻(Team News)-2025

less than 1 minute read

Published: December 30, 2025

2025

• [12/2025] 王洪老师获中南大学教育基金会-光云科技优秀教师奖！Congratulations！
• [12/2025] One paper accepted by Statistics and Computing！ Congratulations！
• [11/2025] 中国人民大学李扬教授应邀来长沙讲学！欢迎！
• [11/2025] One paper accepted by Journal of the Korean Statistical Society！ Congratulations！
• [11/2025] 首都医科大学郭秀花教授应邀来长沙讲学！欢迎！
• [10/2025] 课题组论文被《大数据》中文期刊接受发表！祝贺！
• [10/2025] 复旦大学秦国友教授应邀来长沙讲学！欢迎！
• [09/2025] 2026年硕士研究生名额已用完，感谢关注！
• [09/2025] 王洪老师获中南大学本科生教学质量优秀奖！Congratulations！
• [07/2025] One paper accepted by Quality and Reliability Engineering International！Congratulations！
• [06/2025] One paper accepted by Applied Intelligence！Congratulations！
• [06/2025] 首都师范大学崔恒建教授应邀做客中南大学名师名家论坛！欢迎！
• [06/2025] 王洪老师应邀到江西财经大学进行学术交流并作学术报告！
• [06/2025] 2025届硕士余宙、黄矜、张露分别入职湖北省武汉市区统计局、比亚迪、云南省州财政局！祝贺！
• [06/2025] One paper accepted by Journal of Statistical Computation and Simulation！Congratulations！
• [04/2025] 北京师范大学赵俊龙教授应邀做线上报告！欢迎！
• [2/2025] One paper accepted by Biomedical Signal Processing and Control！Congratulations！
• [1/2025] One paper accepted by International Statistical Review！Congratulations！

团队新闻(Team News)-2024

less than 1 minute read

Published: December 30, 2024

2024

• [12/2024] 王洪老师应邀到中南大学湘雅二医院国家精神疾病医学中心讨论孕产期抑郁联合研究事宜！
• [12/2024] 南方科技大学田国梁教授应邀来长沙讲学！欢迎！
• [11/2024] 王洪老师应邀到东北师范大学访问！
• [10/2024] 王洪老师当选为中国现场统计学会大数据分会常务理事！Congratulations！
• [09/2024] 2025年硕士研究生名额已用完，感谢关注！
• [09/2024] 王洪老师获中南大学本科生教学质量优秀奖！Congratulations！
• [09/2024] 香港中文大学统计系宋心远教授应邀来长沙讲学！欢迎！
• [09/2024] 博士生刘娟受中南大学资助到加拿大联合培养！祝贺！
• [08/2024] 王洪老师主编的教材《统计分析软件：使用R与Python》在机械工业出版社正式出版！祝贺！
• [08/2024] 博士毕业生刘自力入职香港中文大学博士后！祝贺！
• [07/2024] 2024届硕士毕业生张昕怡被中南大学录取为博士生！2024届硕士何聪、张昕分别入职国家审计署**特派办、中国移动湖南分公司！祝贺！
• [07/2024] 加拿大University of Calgary卢学文教授应邀来长沙讲学！欢迎！
• [06/2024] 中国科学院大学张三国教授应邀来长沙讲学！欢迎！
• [06/2024] 西北大学夏志明教授应邀来长沙讲学！欢迎！
• [05/2024] One paper accepted by Big Data！Congratulations！
• [04/2024] One paper accepted by Statistica Sinica！Congratulations！
• [03/2024] 继善高科、海恒科技来校讨论项目合作事宜。欢迎！
• [01/2024] One paper accepted by Statistics in Medicine！Congratulations！

团队新闻(Team News)-2023

less than 1 minute read

Published: December 30, 2023

2023

• [11/2023] 2021届硕士生张转（现为2023级博士生）的硕士论文获湖南省优秀硕士学位论文！祝贺！
• [10/2023] 北京大学宋晓军教授应邀来长沙讲学！欢迎！
• [10/2023] 香港中文大学统计系宋心远教授应邀来长沙讲学！欢迎！
• [09/2023] 博士毕业生程学伟入职湖南师范大学！祝贺！
• [09/2023] 博士生谭哲伦获批国家留学基金委资助到瑞士联合培养！祝贺！
• [09/2023] Abba becomes a post-doc at CSU！Congratulations！
• [08/2023] One paper accepted by Computational Statistics！Congratulations！
• [07/2023] 2023届硕士毕业生周含璞、王思政、邹易分别入职长安汽车、江苏省教育厅、**战区！祝贺！
• [06/2023] 云南大学数学与统计学院唐年胜教授应邀来长沙参加中南大学名师名家论坛！欢迎！
• [06/2023] 王洪老师应邀在中南财经政法大学统计与数学学院作线上报告！
• [04/2023] 王洪老师应邀访问长沙理工大学并作学术报告！
• [04/2023] 厦门大学统计学与数据科学系钟威教授应邀来长沙讲学！欢迎！
• [02/2023] One paper accepted by Quality Technology & Quantitative Management！Congratulations！
• [01/2023] 王洪老师获中南大学研究生教学质量优秀奖！Congratulations！

团队新闻(Team News)-2022

less than 1 minute read

Published: December 30, 2022

2022

• [12/2022] 2021届硕士生洪铃的硕士论文获湖南省优秀硕士学位论文！祝贺！
• [11/2022] One paper accepted by Current Bioinformatics！Congratulations！
• [12/2022] One paper accepted by Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability！Congratulations！
• [11/2022] One paper accepted by Computer Methods and Programs in Biomedicine！Congratulations！
• [10/2022] One paper accepted by R journal！Congratulations！
• [09/2022] 博士生刘自力获批中南大学资助到香港中文大学联合培养！祝贺！
• [07/2022] 2022届硕士毕业生田兵被厦门大学录取为博士生！2022届硕士毕业生刘香羽、周益安分别入职腾讯和平安银行！祝贺！！
• [07/2022] One paper accepted by Statistics and Probability Letters！Congratulations！
• [07/2022] One paper accepted by Statistics in Medicine！Congratulations！
• [06/2022] One paper accepted by Applied Intelligence！Congratulations！
• [06/2022] 中南财经政法大学赵慧教授应邀做线上报告！欢迎！
• [06/2022] 湖北经济学院张耀峰教授应邀做线上报告！欢迎！
• [06/2022] 中国人民大学许王莉教授应邀做线上报告！欢迎！
• [06/2022] 博士生程学伟获批国家留学基金委资助到新加坡国立大学联合培养！祝贺！
• [06/2022] 南方医科大学陈征教授应邀做线上报告！欢迎！
• [06/2022] One paper accepted by Applied Stochastic Models in Business and Industry！Congratulations！
• [05/2022] 江西财经大学罗良清教授应邀做线上报告！欢迎！
• [05/2022] 美国密苏里大学统计系孙建国教授应邀做客中南大学名师名家论坛！欢迎！
• [03/2022] One paper accepted by Reliability Engineering and System Safety！Congratulations！

团队新闻(Team News)-2019-2020-2021

less than 1 minute read

Published: December 30, 2021

2019-2020-2021

• [12/2021] 王洪老师应邀在中国改革试点探索与评估协同创新中心湖北分中心作线上报告！
• [12/2021] 厦门大学钟威教授应邀做线上报告！欢迎！
• [11/2021] 厦门大学方匡南教授应邀做线上报告！欢迎！
• [11/2021] 北京大学邓明华教授应邀做线上报告！欢迎！
• [07/2021] One paper accepted by R Journal！Congratulations！
• [07/2021] 2021届硕士张转、申贞远入职顺丰科技！祝贺！
• [07/2021] 2021届硕士张转获评湖南省优秀毕业生！祝贺！
• [03/2021] One paper accepted by Journal of Statistical Computation and Simulation！Congratulations！
• [06/2020] 2020届硕士洪铃入职宁波银行！祝贺！
• [12/2019] 王洪老师应邀访问美康科技，讨论生物统计方法在医疗检测领域的落地与应用。
• [10/2019] 王洪老师应邀访问湖南城市学院并作学术报告！
• [10/2019] 澳大利亚Griffith大学Shu Kay Angus Ng应邀来长沙讲学！欢迎！
• [10/2019] 海路科技来访，讨论大数据分析技术在肠道病菌检测领域的落地与应用。欢迎！
• [03/2019] 王洪老师应邀访问继善科技，讨论大数据分析技术在故障检测领域的落地与应用。

Random survival forest with space extensions for censored data

Published in Artificial intelligence in medicine, 2017

Use Google Scholar for full citation

Recommended citation: Hong Wang, Lifeng Zhou, "Random survival forest with space extensions for censored data." Artificial intelligence in medicine, 2017.

SurvELM: an R package for high dimensional survival analysis with extreme learning machine

Published in Knowledge-Based Systems, 2018

Use Google Scholar for full citation

Recommended citation: Hong Wang, Lifeng Zhou, "SurvELM: an R package for high dimensional survival analysis with extreme learning machine." Knowledge-Based Systems, 2018.

Survival forests with R-squared splitting rules

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.

A survival ensemble of extreme learning machine

Published in Applied Intelligence, 2018

Use Google Scholar for full citation

Recommended citation: Hong Wang, Jianxin Wang, Lifeng Zhou, "A survival ensemble of extreme learning machine." Applied Intelligence, 2018.

Survival forest with partial least squares for high dimensional censored data

Published in Chemometrics and Intelligent Laboratory Systems, 2018

Use Google Scholar for full citation

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.

Extreme learning machine Cox model for high-dimensional survival analysis

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.

A reliability and survival model for one and two failure modes system with applications to complete and censored datasets

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.

Classical and Bayesian estimations of improved Weibull–Weibull distribution for complete and censored failure times data

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.

Fast Lasso-type safe screening for Fine-Gray competing risks model with ultrahigh dimensional covariates

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.

Deep survival forests with feature screening

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.

A generic model-free feature screening procedure for ultra-high dimensional data with categorical response

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.

SurvMetrics: An R package for Predictive Evaluation Metrics in Survival Analysis.

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.

A robust bathtub-shaped failure time model for a two-component system with applications to complete and censored reliability data

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.

Simultaneous variable selection and estimation for survival data via the Gaussian seamless-L 0 L _0 penalty

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.

Flexible Bayesian Framework for Analyzing Heterogeneous Lifetime Data Using Weighted Inverse Rayleigh Mixtures

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.

Feature Screening for Ultrahigh Dimensional Mixed Data via Wasserstein Distance

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.

A fast survival support vector regression approach to large scale credit scoring via safe screening

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.

Highly censored survival analysis via data augmentation

Published in Biomedical Signal Processing and Control, 2025

Use Google Scholar for full citation

Recommended citation: Hanpu Zhou, Xinyi Zhang, Hong Wang, "Highly censored survival analysis via data augmentation." Biomedical Signal Processing and Control, 2025.

Variable selection and estimation for PSH regression models via generalized seamless-\(L_0\) penalty

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.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.