On nonlinear regression estimator with denoised variables. - Hengjian Cui; Tao Hu 001 (Comput. Stat. Data Anal., 2011)

Testing structural change in partially linear single-index models with error-prone linear covariates. - Zhensheng Huang; Zhen Pang; Tao Hu 001 (Comput. Stat. Data Anal., 2013)

Efficient estimation for semiparametric cure models with interval-censored data. - Tao Hu 001; Liming Xiang (J. Multivar. Anal., 2013)

Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning. - Chao Zhang 017; Dacheng Tao; Tao Hu 001; Xiang Li (CoRR, 2014)

Partially linear transformation cure models for interval-censored data. - Tao Hu 001; Liming Xiang (Comput. Stat. Data Anal., 2016)

Cox regression analysis of dependent interval-censored failure time data. - Ling Ma; Tao Hu 001; Jianguo Sun (Comput. Stat. Data Anal., 2016)

Robust estimation of parameters in nonlinear ordinary differential equation models. - Yanping Qiu; Tao Hu 001; Baosheng Liang; Hengjian Cui (J. Syst. Sci. Complex., 2016)

Sieve maximum likelihood estimation for the proportional hazards model under informative censoring. - Xuerong Chen; Tao Hu 001; Jianguo Sun (Comput. Stat. Data Anal., 2017)

Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments. - Shuwei Li; Tao Hu 001; Peijie Wang; Jianguo Sun (Comput. Stat. Data Anal., 2017)

A class of semiparametric transformation cure models for interval-censored failure time data. - Shuwei Li; Tao Hu 001; Xingqiu Zhao; Jianguo Sun (Comput. Stat. Data Anal., 2019)

Drought Prediction Based on Feature-Based Transfer Learning and Time Series Imaging. - Wan Tian; Jiujing Wu; Hengjian Cui; Tao Hu 001 (IEEE Access, 2021)

Variable selection for generalized odds rate mixture cure models with interval-censored failure time data. - Yang Xu; Shishun Zhao; Tao Hu 001; Jianguo Sun (Comput. Stat. Data Anal., 2021)

Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning. - Chao Zhang 017; Dacheng Tao; Tao Hu 001; Bingchen Liu (IEEE Trans. Neural Networks Learn. Syst., 2021)

JEBIN: analyzing gene co-expressions across multiple datasets by joint network embedding. - Guiying Wu; Xiangyu Li 003; Wenbo Guo 010; Zheng Wei; Tao Hu 001; Yiran Shan; Jin Gu (Briefings Bioinform., 2022)

Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning. - Meiyan Zhao; Yuhu Zhang; Tao Hu 001; Peng Wang (Complex., 2022)

Partially Linear Additive Hazards Regression for Bivariate Interval-Censored Data. - Ximeng Zhang; Shishun Zhao; Tao Hu 001; Jianguo Sun (Axioms, 2023)

Transfer learning under the Cox model with interval-censored data. - Mengqi Xie; Tao Hu 001; Jie Zhou (Stat. Anal. Data Min., 2024)

ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression. - Jingyi Zhang; Shishun Zhao; Yang Xu; Tao Hu 001 (IEEE Access, 2025)

A model-free feature extraction procedure for interval-valued time series prediction. - Wan Tian; Zhongfeng Qin; Tao Hu 001 (Soft Comput., 2025)