A primal-dual interior-point method for linear optimization based on a new proximity function. - Yan-Qin Bai; Cees Roos; Mohamed El Ghami (Optim. Methods Softw., 2002)

A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier. - Yan-Qin Bai; Mohamed El Ghami; Cornelis Roos (SIAM J. Optim., 2002)

A polynomial-time algorithm for linear optimization based on a new simple kernel function. - Yan-Qin Bai; Cornelis Roos (Optim. Methods Softw., 2003)

A Comparative Study of Kernel Functions for Primal-Dual Interior-Point Algorithms in Linear Optimization. - Yan-Qin Bai; Mohamed El Ghami; Cornelis Roos (SIAM J. Optim., 2004)

Primal-Dual Interior-Point Algorithms for Semidefinite Optimization Based on a Simple Kernel Function. - Guo-Qiang Wang; Yan-Qin Bai; Cornelis Roos (J. Math. Model. Algorithms, 2005)

A Primal-Dual Interior-Point Algorithm for Convex Quadratic Optimization Based on a Parametric Kernel Function. - Guoqiang Wang; Yanqin Bai (CSO (2), 2009)

A primal-dual interior-point algorithm for second-order cone optimization with full Nesterov-Todd step. - Guo-Qiang Wang; Yan-Qin Bai (Appl. Math. Comput., 2009)

Polynomial interior-point algorithms for P*(k) horizontal linear complementarity problem. - Guo-Qiang Wang; Yan-Qin Bai (J. Comput. Appl. Math., 2009)

Kernel-function Based Algorithms for Semidefinite Optimization. - Mohamed El Ghami; Yan-Qin Bai; Cornelis Roos (RAIRO Oper. Res., 2009)

An Efficient Algorithm for Reverse 2-median Problem on A Cycle. - Qin Wang; Yanqin Bai (J. Networks, 2010)

A Polynomial-time Interior-point Algorithm for Convex Quadratic Semidefinite Optimization. - Yan-Qin Bai; F. Y. Wang; X. W. Luo (RAIRO Oper. Res., 2010)

New parameterized kernel functions for linear optimization. - Yanqin Bai; Wei Xie; Jing Zhang (J. Glob. Optim., 2012)

A Class of Polynomial Interior Point Algorithms for the Cartesian P-Matrix Linear Complementarity Problem over Symmetric Cones. - Guo-Qiang Wang; Yan-Qin Bai (J. Optim. Theory Appl., 2012)

A New Full Nesterov-Todd Step Primal-Dual Path-Following Interior-Point Algorithm for Symmetric Optimization. - Guo-Qiang Wang; Yan-Qin Bai (J. Optim. Theory Appl., 2012)

A full-Newton step infeasible interior-point algorithm for monotone LCP based on a locally-kernel function. - Lipu Zhang; Yanqin Bai; Yinghong Xu (Numer. Algorithms, 2012)

An exact penalty function method for nonlinear mixed discrete programming problems. - Changjun Yu; Kok Lay Teo; Yanqin Bai (Optim. Lett., 2013)

A full-step interior-point algorithm for second-order cone optimization based on a simple locally kernel function. - Lipu Zhang; Yanqin Bai; Yinghong Xu (Optim. Methods Softw., 2013)

A new superlinearly convergent algorithm of combining QP subproblem with system of linear equations for nonlinear optimization. - Jin-Bao Jian; Chuan-Hao Guo; Chun-Ming Tang 002; Yan-Qin Bai (J. Comput. Appl. Math., 2015)

Quadratic kernel-free least squares support vector machine for target diseases classification. - Yanqin Bai; Xiao Han; Tong Chen; Hua Yu (J. Comb. Optim., 2015)

Improved Complexity Analysis of Full Nesterov-Todd Step Interior-Point Methods for Semidefinite Optimization. - Guoqiang Wang; Yan-Qin Bai; Xiangyu Gao; Dazhong Wang (J. Optim. Theory Appl., 2015)

Analysis of Entropy Generation in the Flow of Peristaltic Nanofluids in Channels With Compliant Walls. - Munawwar Ali Abbas; Yanqin Bai; Mohammad Mehdi Rashidi; Muhammad Mubashir Bhatti (Entropy, 2016)

A kernel-free quadratic surface support vector machine for semi-supervised learning. - Xin Yan; Yanqin Bai; Shu-Cherng Fang; Jian Luo 006 (J. Oper. Res. Soc., 2016)

Conic Relaxations for Semi-supervised Support Vector Machines. - Yanqin Bai; Xin Yan (J. Optim. Theory Appl., 2016)

Splitting augmented Lagrangian method for optimization problems with a cardinality constraint and semicontinuous variables. - Yanqin Bai; Renli Liang; Zhouwang Yang (Optim. Methods Softw., 2016)

Optimal trade-off portfolio selection between total risk and maximum relative marginal risk. - Qian Li; Yanqin Bai (Optim. Methods Softw., 2016)

Global Optimization for Solving Linear Multiplicative Programming Based on a New Linearization Method. - Chun-Feng Wang; Yan-Qin Bai (Sci. Program., 2016)

Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology. - Xin Li; Yanqin Bai; Yaxin Peng; Shaoyi Du; Shihui Ying (Int. J. Neural Syst., 2018)

A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine. - Yaru Zhan; Yanqin Bai; Wei Zhang 172; Shihui Ying (Neurocomputing, 2018)

Equivalence of two-sided stable matching. - Liwei Zhong; Yanqin Bai (J. Comb. Optim., 2018)

Tensor maximal correlation problems. - Anwa Zhou; Xin Zhao; Jinyan Fan; Yanqin Bai (J. Glob. Optim., 2018)

Document Classification via Nonlinear Metric Learning. - Xin Li; Yanqin Bai; Siyun Zhou; Ying Li 028 (Neural Process. Lett., 2018)

A proximal quadratic surface support vector machine for semi-supervised binary classification. - Xin Yan; Yanqin Bai; Shu-Cherng Fang; Jian Luo 006 (Soft Comput., 2018)

A new computational approach for optimal control problems with multiple time-delay. - Di Wu; Yanqin Bai; Changjun Yu (Autom., 2019)

Three-sided stable matching problem with two of them as cooperative partners. - Liwei Zhong; Yanqin Bai (J. Comb. Optim., 2019)

An inexact splitting method for the subspace segmentation from incomplete and noisy observations. - Renli Liang; Yanqin Bai; Hai-Xiang Lin (J. Glob. Optim., 2019)

An Adaptive Infeasible-Interior-Point Method with the One-Norm Wide Neighborhood for Semi-definite Programming. - Ximei Yang; Yanqin Bai (J. Sci. Comput., 2019)

Portfolio selection with the effect of systematic risk diversification: formulation and accelerated gradient algorithm. - Qian Li; Yanqin Bai; Xin Yan; Wei Zhang 172 (Optim. Methods Softw., 2019)

Temporal Transfer Learning for Ozone Prediction based on CNN-LSTM Model. - Tuo Deng; Astrid M. M. Manders; Arjo J. Segers; Yanqin Bai; Hai-Xiang Lin (ICAART (2), 2021)

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. - Yan-Ru Guo; Yan-Qin Bai; Chun-Na Li 001; Yuan-Hai Shao 001; Ya-Fen Ye; Cheng-zi Jiang (Eng. Appl. Artif. Intell., 2021)

A sparse optimization problem with hybrid L2 -Lp regularization for application of magnetic resonance brain images. - Xuerui Gao; Yanqin Bai; Qian Li (J. Comb. Optim., 2021)

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. - Yan-Ru Guo; Yan-Qin Bai; Chun-Na Li 001; Lan Bai; Yuan-Hai Shao 001 (Appl. Intell., 2022)

Two-dimensional k-subspace clustering and its applications on image recognition. - Yan-Ru Guo; Yan-Qin Bai (Int. J. Mach. Learn. Cybern., 2023)

Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection. - Qian Li; Wei Zhang 172; Guoqiang Wang; Yanqin Bai (Optim. Methods Softw., 2023)

A non-convex piecewise quadratic approximation of ℓ 0 regularization: theory and accelerated algorithm. - Qian Li; Wei Zhang 172; Yanqin Bai; Guoqiang Wang (J. Glob. Optim., 2023)