Tao Hu

Orcid: 0000-0003-4463-004X

Affiliations:
  • Capital Normal University, School of Mathematical Sciences, Beijing, China


According to our database1, Tao Hu authored at least 24 papers between 2011 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Online monitoring for survival outcomes based on Deep neural network Cox Model with application to surgery quality.
Commun. Stat. Simul. Comput., May, 2026

Simultaneous variable selection and estimation of multivariate panel count data.
J. Multivar. Anal., 2026

2025
A model-free feature extraction procedure for interval-valued time series prediction.
Soft Comput., March, 2025

Regression Analysis of Dependent Current Status Data with Left-Truncation Under Linear Transformation Model.
J. Syst. Sci. Complex., 2025

Subgroup Detection in the Heterogeneous Deep Cox Model.
J. Syst. Sci. Complex., 2025

ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression.
IEEE Access, 2025

2024
Transfer learning under the Cox model with interval-censored data.
Stat. Anal. Data Min., April, 2024

fastCCLasso: a fast and efficient algorithm for estimating correlation matrix from compositional data.
Bioinform., 2024

2023
Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data.
Axioms, February, 2023

2022
Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning.
Complex., 2022

JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding.
Briefings Bioinform., 2022

2021
Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Variable selection for generalized odds rate mixture cure models with interval-censored failure time data.
Comput. Stat. Data Anal., 2021

Drought Prediction Based on Feature-Based Transfer Learning and Time Series Imaging.
IEEE Access, 2021

2019
A class of semiparametric transformation cure models for interval-censored failure time data.
Comput. Stat. Data Anal., 2019

2017
Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments.
Comput. Stat. Data Anal., 2017

Sieve maximum likelihood estimation for the proportional hazards model under informative censoring.
Comput. Stat. Data Anal., 2017

2016
Robust estimation of parameters in nonlinear ordinary differential equation models.
J. Syst. Sci. Complex., 2016

Cox regression analysis of dependent interval-censored failure time data.
Comput. Stat. Data Anal., 2016

Partially linear transformation cure models for interval-censored data.
Comput. Stat. Data Anal., 2016

2014
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning.
CoRR, 2014

2013
Efficient estimation for semiparametric cure models with interval-censored data.
J. Multivar. Anal., 2013

Testing structural change in partially linear single-index models with error-prone linear covariates.
Comput. Stat. Data Anal., 2013

2011
On nonlinear regression estimator with denoised variables.
Comput. Stat. Data Anal., 2011


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