Generalized likelihood ratio test for varying-coefficient models with different smoothing variables. - Wai-Cheung Ip; Heung Wong; Riquan Zhang (Comput. Stat. Data Anal., 2007)

Varying-coefficient single-index model. - Heung Wong; Wai-Cheung Ip; Riquan Zhang (Comput. Stat. Data Anal., 2008)

Estimation on semivarying coefficient models with different degrees of smoothness. - Riquan Zhang; Jingyan Feng; Kaichun Wen; Jianhua Ding (J. Syst. Sci. Complex., 2009)

Statistical estimation in varying coefficient models with surrogate data and validation sampling. - Qihua Wang; Riquan Zhang (J. Multivar. Anal., 2009)

Smoothing Spline Estimation for Partially Linear Single-index Models. - Bartholomew Leung; Heung Wong; Riquan Zhang; Shengtong Han (Commun. Stat. Simul. Comput., 2010)

Penalized Spline Varying-Coefficient Single-Index Model. - Jianbo Li; Riquan Zhang (Commun. Stat. Simul. Comput., 2010)

Statistical inference for the index parameter in single-index models. - Riquan Zhang; Zhensheng Huang; Yazhao Lv (J. Multivar. Anal., 2010)

Partially varying coefficient single index proportional hazards regression models. - Jianbo Li; Riquan Zhang (Comput. Stat. Data Anal., 2011)

Efficient empirical-likelihood-based inferences for the single-index model. - Zhensheng Huang; Riquan Zhang (J. Multivar. Anal., 2011)

Inference on coefficient function for varying-coefficient partially linear model. - Jingyan Feng; Riquan Zhang (J. Syst. Sci. Complex., 2012)

Partially linear single-index beta regression model and score test. - Weihua Zhao; Riquan Zhang; Zhensheng Huang; Jingyan Feng (J. Multivar. Anal., 2012)

Estimation of the accelerated failure time frailty model under generalized gamma frailty. - Pengcheng Chen; Jiajia Zhang; Riquan Zhang (Comput. Stat. Data Anal., 2013)

Adaptive profile-empirical-likelihood inferences for generalized single-index models. - Zhensheng Huang; Zhen Pang; Riquan Zhang (Comput. Stat. Data Anal., 2013)

Testing the significance of index parameters in varying-coefficient single-index models. - Heung Wong; Riquan Zhang; Bartholomew Leung; Zhensheng Huang (Comput. Stat. Data Anal., 2013)

Variable selection for general transformation models with right censored data via nonconcave penalties. - Jianbo Li; Minggao Gu; Riquan Zhang (J. Multivar. Anal., 2013)

A robust and efficient estimation method for single index models. - Jicai Liu; Riquan Zhang; Weihua Zhao; Yazhao Lv (J. Multivar. Anal., 2013)

Profile empirical-likelihood inferences for the single-index-coefficient regression model. - Zhensheng Huang; Riquan Zhang (Stat. Comput., 2013)

Regularization and model selection for quantile varying coefficient model with categorical effect modifiers. - Weihua Zhao; Riquan Zhang; Jicai Liu (Comput. Stat. Data Anal., 2014)

Testing Serial Correlation in Single Index Models. - Jianbo Li; Yuanyuan Wang; Zhensheng Huang; Riquan Zhang; Lin Liu (Commun. Stat. Simul. Comput., 2015)

Variable selection of varying dispersion student-t regression models. - Weihua Zhao; Riquan Zhang (J. Syst. Sci. Complex., 2015)

Variable selection in semiparametric hazard regression for multivariate survival data. - Jicai Liu; Riquan Zhang; Weihua Zhao; Yazhao Lv (J. Multivar. Anal., 2015)

Estimation and variable selection for proportional response data with partially linear single-index models. - Weihua Zhao; Heng Lian; Riquan Zhang; Peng Lai (Comput. Stat. Data Anal., 2016)

The adaptive LASSO spline estimation of single-index model. - Yiqiang Lu; Riquan Zhang; Bin Hu (J. Syst. Sci. Complex., 2016)

Estimating time-varying treatment switching effects via local linear smoothing and quasi-likelihood. - Hongmei Lin; Riquan Zhang; Wenchao Xu; Yuedong Wang (Comput. Stat. Data Anal., 2017)

A class of functional partially linear single-index models. - Hui Ding; Yanghui Liu; Wenchao Xu; Riquan Zhang (J. Multivar. Anal., 2017)

Feature Screening for Nonparametric and Semiparametric Models with Ultrahigh-Dimensional Covariates. - Junying Zhang; Riquan Zhang; Jiajia Zhang (J. Syst. Sci. Complex., 2018)

Estimation and testing for partially functional linear errors-in-variables models. - Hanbing Zhu; Riquan Zhang; Zhou Yu; Heng Lian; Yanghui Liu (J. Multivar. Anal., 2019)

Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data. - Junying Zhang; Hang Wang; Riquan Zhang; Jiajia Zhang (J. Syst. Sci. Complex., 2020)

Estimation and Inference in Semi-Functional Partially Linear Measurement Error Models. - Hanbing Zhu; Riquan Zhang; Gen Zhu (J. Syst. Sci. Complex., 2020)

Nonlinear functional canonical correlation analysis via distance covariance. - Hanbing Zhu; Rui Li 078; Riquan Zhang; Heng Lian (J. Multivar. Anal., 2020)

Integrated Square Error of Hazard Rate Estimation for Survival Data with Missing Censoring Indicators. - Yuye Zou; Guoliang Fan 002; Riquan Zhang (J. Syst. Sci. Complex., 2021)

Projection quantile correlation and its use in high-dimensional grouped variable screening. - Jicai Liu; Yuefeng Si; Yong Niu; Riquan Zhang (Comput. Stat. Data Anal., 2022)

Estimation of semi-varying coefficient error-in-variable models with surrogate data and validation sample. - Zhensheng Huang; Riquan Zhang; Wenwen Yin (Commun. Stat. Simul. Comput., 2022)

Partially Linear Single-Index Model in the Presence of Measurement Error. - Hongmei Lin; Jianhong Shi; Tiejun Tong; Riquan Zhang (J. Syst. Sci. Complex., 2022)

Measures of concordance and testing of independence in multivariate structure. - Wenli Deng; Jinglong Wang; Riquan Zhang (J. Multivar. Anal., 2022)

Nonparametric variable screening for multivariate additive models. - Hui Ding; Jian Zhang; Riquan Zhang (J. Multivar. Anal., 2022)

Cross-Part Learning for Fine-Grained Image Classification. - Man Liu 003; Chunjie Zhang; Huihui Bai 001; Riquan Zhang; Yao Zhao 001 (IEEE Trans. Image Process., 2022)

Accelerate adversarial training with loss guided propagation for robust image classification. - Changkai Xu; Chunjie Zhang; Yanwu Yang; Huaizhi Yang; Yijun Bo; Danyong Li; Riquan Zhang (Inf. Process. Manag., 2023)

An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models. - Yuan Gao 026; Xuening Zhu; Haobo Qi; Guodong Li; Riquan Zhang; Hansheng Wang 002 (J. Comput. Graph. Stat., 2023)

Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing. - Yibo Yan; Xiaozhou Wang; Riquan Zhang (J. Mach. Learn. Res., 2023)

K-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function. - Jicai Liu; Jinhong Li; Riquan Zhang (J. Comput. Graph. Stat., 2023)

Estimation of spatial-functional based-line logit model for multivariate longitudinal data. - Tengteng Xu; Riquan Zhang; Xiuzhen Zhang 003 (Comput. Stat., 2023)

AMMCR: Adaptive Multi-view Multi-behavior Contrastive Learning Recommendation. - Yiheng Li; Riquan Zhang (ICONIP (9), 2024)

The Key of Parameter Skew in Federated Learning. - Sifan Wang; Junfeng Liao; Ye Yuan; Riquan Zhang (CoRR, 2024)

Subgroup detection based on partially linear additive individualized model with missing data in response. - Tingting Cai; Jianbo Li; Qin Zhou; Songlou Yin; Riquan Zhang (Comput. Stat. Data Anal., 2024)

A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. - Jiaxing Shang; Xiaoquan Li; Ruixiang Zhang; Linjiang Zheng; Xu Li 014; Riquan Zhang; Xinbin Zhao; Fan Li; Hong Sun (Eng. Appl. Artif. Intell., 2025)