Greedy Projected Gradient-Newton Method for Sparse Logistic Regression. - Rui Wang 060; Naihua Xiu; Chao Zhang 056 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Subspace quadratic regularization method for group sparse multinomial logistic regression. - Rui Wang 060; Naihua Xiu; Kim-Chuan Toh (Comput. Optim. Appl., 2021)

An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets. - Rui Wang 060; Naihua Xiu; Shenglong Zhou 001 (J. Comput. Appl. Math., 2021)

Multinomial logistic regression classifier via lq, 0-proximal Newton algorithm. - Penghe Zhang; Rui Wang 060; Naihua Xiu (Neurocomputing, 2022)

Decoding LDPC Codes by Using Negative Proximal Regularization. - Yiming Chen; Rui Wang 060; Jinglong Zhu; Zaiwen Wen (IEEE Trans. Commun., 2023)

HeLEM-GR: Heterogeneous Global Routing with Linearized Exponential Multiplier Method. - Chunyuan Zhao; Zizheng Guo; Rui Wang 060; Zaiwen Wen; Yun Liang 001; Yibo Lin (ICCAD, 2024)

A Customized Augmented Lagrangian Method for Block-Structured Integer Programming. - Rui Wang 060; Chuwen Zhang; Shanwen Pu; Jianjun Gao 001; Zaiwen Wen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)