High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks. - Hongcheng Liu; Yinyu Ye 001; Hung Yi Lee (Oper. Res., 2022)

Training generalizable quantized deep neural nets. - Charles Hernandez; Bijan Taslimi; Hung Yi Lee; Hongcheng Liu; Panos M. Pardalos (Expert Syst. Appl., 2023)

Regularized sample average approximation for high-dimensional stochastic optimization under low-rankness. - Hung Yi Lee; Charles Hernandez; Hongcheng Liu (J. Glob. Optim., 2023)