SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties. - Jian Huang 003; Yuling Jiao; Xiliang Lu; Yueyong Shi; Qinglong Yang (CoRR, 2018)

Variable Selection via Generalized SELO-Penalized Cox Regression Models. - Yueyong Shi; Deyi Xu; Yongxiu Cao; Yuling Jiao (J. Syst. Sci. Complex., 2019)

A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. - Yueyong Shi; Jian Huang 003; Yuling Jiao; Qinglong Yang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Fitting jump additive models. - Yicheng Kang; Yueyong Shi; Yuling Jiao; Wendong Li; Dongdong Xiang (Comput. Stat. Data Anal., 2021)

Distributed quantile regression for massive heterogeneous data. - Aijun Hu; Yuling Jiao; Yanyan Liu; Yueyong Shi; Yuanshan Wu (Neurocomputing, 2021)

PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. - Jian Huang 003; Yuling Jiao; Xiliang Lu; Yueyong Shi; Qinglong Yang; Yuanyuan Yang (Signal Process., 2022)

Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver. - Yongxiu Cao; Lican Kang; Xuerui Li; Yanyan Liu; Yuan Luo; Yueyong Shi (IEEE Trans. Neural Networks Learn. Syst., 2024)