A generalization of Müller's iteration method based on standard information. - Xinghua Wang 001; Peipei Tang (Numer. Algorithms, 2008)

An Iteration Method with generally convergent Property for cubic Polynomials. - Peipei Tang; Xinghua Wang 001 (Int. J. Bifurc. Chaos, 2009)

An iteration method with maximal order based on standard information. - Xinghua Wang 001; Peipei Tang (Int. J. Comput. Math., 2010)

Five convolution formulae of orthogonal polynomials. - Wenchang Chu; Peipei Tang (Appl. Math. Comput., 2011)

Verifiably anonymous data collection on web. - Huafei Zhu; Shuoping Wang; Peipei Tang (ITNAC, 2015)

A majorized Newton-CG augmented Lagrangian-based finite element method for 3D restoration of geological models. - Peipei Tang; Chengjing Wang; Xiaoxia Dai (Comput. Geosci., 2016)

Two Kinds Of m-Stirling Numbers. - De-Yin Zheng; Peipei Tang (Ars Comb., 2017)

A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming. - Chengjing Wang; Peipei Tang (Comput. Optim. Appl., 2017)

Research on Urban Street Order Based on Data Mining Technology. - Guanlin Chen; Peipei Tang; Canghong Jin; Zhuoyue Zhu (Big Data (CCF), 2018)

A divided difference approach to Abel and Hagen-Rothe identities. - Peipei Tang; Aimin Xu (Ars Comb., 2018)

A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. - Peipei Tang; Chengjing Wang; Defeng Sun; Kim-Chuan Toh (CoRR, 2019)

A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines. - Dunbiao Niu; Chengjing Wang; Peipei Tang; Qingsong Wang; Enbin Song (CoRR, 2019)

An Inexact Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration. - Qingsong Wang; Chengjing Wang; Peipei Tang; Dunbiao Niu (Asia Pac. J. Oper. Res., 2020)

Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods. - Shizhuang Weng; Shuan Yu; Binqing Guo; Peipei Tang; Dong Liang (Sensors, 2020)

A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems. - Peipei Tang; Chengjing Wang; Bo Jiang (CoRR, 2021)

A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing. - Longfei Ren; Chengjing Wang; Peipei Tang; Zheng Ma 001 (Numer. Algorithms, 2021)

An efficient algorithm for the 𝓁p norm based metric nearness problem. - Peipei Tang; Bo Jiang; Chengjing Wang (CoRR, 2022)

An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity. - Dunbiao Niu; Chengjing Wang; Peipei Tang; Qingsong Wang; Enbin Song (IEEE Trans. Signal Process., 2022)

A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems. - Peipei Tang; Chengjing Wang; Bo Jiang (IEEE Trans. Signal Process., 2023)

A Dual Semismooth Newton Based Augmented Lagrangian Method for Large-Scale Linearly Constrained Sparse Group Square-Root Lasso Problems. - Chengjing Wang; Peipei Tang (J. Sci. Comput., 2023)

Perturbation analysis of a class of composite optimization problems. - Peipei Tang; Chengjing Wang (CoRR, 2024)

An efficient algorithm for the ℓ_{𝑝} norm based metric nearness problem. - Peipei Tang; Bo Jiang; Chengjing Wang (Math. Comput., 2024)

An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal. - Chengjing Wang; Xile Zhao; Qingsong Wang; Zepei Ma; Peipei Tang (Numer. Algorithms, 2024)

Learning the Hub Graphical Lasso Model with the Structured Sparsity via an Efficient Algorithm. - Chengjing Wang; Peipei Tang; Wenling He; Meixia Lin (J. Sci. Comput., 2025)

Second-Order Characterizations of Tilt Stability in Composite Optimization. - Boris S. Mordukhovich; Peipei Tang; Chengjing Wang (CoRR, 2025)

An augmented Lagrangian method for strongly regular minimizers in a class of convex composite optimization problems. - Chengjing Wang; Peipei Tang (CoRR, 2025)