Simultaneous estimation of linear conditional quantiles with penalized splines. - Heng Lian; Jie Meng; Zengyan Fan (J. Multivar. Anal., 2015)

Minimax convergence rates for kernel CCA. - Zengyan Fan; Heng Lian (J. Multivar. Anal., 2016)

Divide-and-Conquer for Debiased $l_1$-norm Support Vector Machine in Ultra-high Dimensions. - Heng Lian; Zengyan Fan (J. Mach. Learn. Res., 2017)

Quantile regression for additive coefficient models in high dimensions. - Zengyan Fan; Heng Lian (J. Multivar. Anal., 2018)

A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model. - Shaogao Lv; Zengyan Fan; Heng Lian; Taiji Suzuki; Kenji Fukumizu (Comput. Stat. Data Anal., 2020)

Distributed learning for sketched kernel regression. - Heng Lian; Jiamin Liu; Zengyan Fan (Neural Networks, 2021)

It Is About Weather: Explainable Machine Learning for Traffic Accident Understanding. - Syabil Soedirman; Fang Liu 009; Zengyan Fan; Wei Zhang 082 (SMC, 2023)

Distributed iterative hard thresholding for variable selection in Tobit models. - Changxin Yang; Zhongyi Zhu; Hongmei Lin; Zengyan Fan; Heng Lian (Comput. Stat. Data Anal., 2025)