Yangjing Zhang

11 papers A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
DNNLasso: Scalable Graph Learning for Matrix-Variate Data.
AISTATS
Meixia Lin, Yangjing Zhang
2024 J jnl
DNNLasso: Scalable Graph Learning for Matrix-Variate Data.
CoRR
Meixia Lin, Yangjing Zhang
2024 — conf
EFormer-VPR: Fusing Events and Frames with Transformer for Visual Place Recognition.
ITSC
Yangjing Zhang, Yanqing Shen, Ziyu Zhu, Renwei Hai, Shitao Chen, Nanning Zheng
2024 J jnl
Learning graph Laplacian with MCP.
Optim. Methods Softw.
Yangjing Zhang, Kim-Chuan Toh, Defeng Sun
2024 J jnl
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models.
J. Mach. Learn. Res.
Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh
2023 J jnl
Strong Variational Sufficiency for Nonlinear Semidefinite Programming and Its Implications.
SIAM J. Optim.
Shiwei Wang, Chao Ding, Yangjing Zhang, Xinyuan Zhao
2022 J jnl
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations.
J. Mach. Learn. Res.
Hong T. M. Chu, Kim-Chuan Toh, Yangjing Zhang
2021 J jnl
An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems.
SIAM J. Math. Data Sci.
Ning Zhang, Yangjing Zhang, Defeng Sun, Kim-Chuan Toh
2020 J jnl
A Proximal Point Dual Newton Algorithm for Solving Group Graphical Lasso Problems.
SIAM J. Optim.
Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
2020 J jnl
An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems.
Math. Program.
Yangjing Zhang, Ning Zhang, Defeng Sun, Kim-Chuan Toh
2020 J jnl
Learning Graph Laplacian with MCP.
CoRR
Yangjing Zhang, Kim-Chuan Toh, Defeng Sun