An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems. - Yangjing Zhang; Ning Zhang; Defeng Sun; Kim-Chuan Toh (Math. Program., 2020)

A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems. - Yangjing Zhang; Ning Zhang; Defeng Sun; Kim-Chuan Toh (SIAM J. Optim., 2020)

An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems. - Ning Zhang; Yangjing Zhang; Defeng Sun; Kim-Chuan Toh (SIAM J. Math. Data Sci., 2021)

On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations. - Hong T. M. Chu; Kim-Chuan Toh; Yangjing Zhang (J. Mach. Learn. Res., 2022)

Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications. - Shiwei Wang 004; Chao Ding; Yangjing Zhang; Xinyuan Zhao (SIAM J. Optim., 2023)

DNNLasso: Scalable Graph Learning for Matrix-Variate Data. - Meixia Lin; Yangjing Zhang (AISTATS, 2024)

EFormer-VPR: Fusing Events and Frames with Transformer for Visual Place Recognition. - Yangjing Zhang; Yanqing Shen; Ziyu Zhu; Renwei Hai; Shitao Chen; Nanning Zheng 001 (ITSC, 2024)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models. - Yangjing Zhang; Ying Cui; Bodhisattva Sen; Kim-Chuan Toh (J. Mach. Learn. Res., 2024)

Learning graph Laplacian with MCP. - Yangjing Zhang; Kim-Chuan Toh; Defeng Sun (Optim. Methods Softw., 2024)