Hong Wang

Orcid: 0000-0002-6938-9507

Affiliations:
  • Central South University, School of Mathematics and Statistics, Changsha, China
  • Hunan University, School of Computer and Communication, Changsha, China (former)


According to our database1, Hong Wang authored at least 26 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation.
Int. J. Data Sci. Anal., December, 2026

Variable selection and estimation for PSH regression models via generalized seamless-L<sub>0</sub> penalty.
Stat. Comput., February, 2026

Federated survival analysis via data augmentation using multi-task variational autoencoder.
Computing, February, 2026

Improving Non-IID federated survival analysis with data augmentation and gradient boosted trees.
Appl. Intell., February, 2026

2025
Transformer-variational autoencoder for estimating individual treatment effect using causal inference framework.
Appl. Intell., August, 2025

Flexible Bayesian Framework for Analyzing Heterogeneous Lifetime Data Using Weighted Inverse Rayleigh Mixtures.
Qual. Reliab. Eng. Int., 2025

Highly censored survival analysis via data augmentation.
Biomed. Signal Process. Control., 2025

A Fast Survival Support Vector Regression Approach to Large Scale Credit Scoring via Safe Screening.
Big Data, 2025

2024
The concordance filter: an adaptive model-free feature screening procedure.
Comput. Stat., July, 2024

2023
Deep survival forests for extremely high censored data.
Appl. Intell., March, 2023

SurvMetrics: An R package for Predictive Evaluation Metrics in Survival Analysis.
R J., February, 2023

A generic model-free feature screening procedure for ultra-high dimensional data with categorical response.
Comput. Methods Programs Biomed., February, 2023

An Efficient Quadrature Rule for the Oscillatory Infinite Generalized Bessel Transform with a General Oscillator and Its Error Analysis.
J. Sci. Comput., 2023

Deep survival forests with feature screening.
Biomed. Signal Process. Control., 2023

2022
A reliability and survival model for one and two failure modes system with applications to complete and censored datasets.
Reliab. Eng. Syst. Saf., 2022

2021
JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks.
R J., 2021

2018
SurvELM: An R package for high dimensional survival analysis with extreme learning machine.
Knowl. Based Syst., 2018

Survival Forests with R-Squared Splitting Rules.
J. Comput. Biol., 2018

Robust feature screening for ultra-high dimensional right censored data via distance correlation.
Comput. Stat. Data Anal., 2018

A survival ensemble of extreme learning machine.
Appl. Intell., 2018

2017
Random survival forest with space extensions for censored data.
Artif. Intell. Medicine, 2017

Marginal Screening for Partial Least Squares Regression.
IEEE Access, 2017

2014
Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach.
Inf., 2014

Seminal Quality Prediction Using Clustering-Based Decision Forests.
Algorithms, 2014

2009
Natural Language Information Hiding Based on Chinese Mathematical Expression.
Int. J. Netw. Secur., 2009

2007
An Efficient Linguistic Steganography for Chinese Text.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007


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