Second order cone programming relaxation for quadratic assignment problems. - Yong Xia 002 (Optim. Methods Softw., 2008)

Convex Hull Presentation of a quadratically Constrained Set and its Application in Solving Quadratic Programming Problems. - Yong Xia 002 (Asia Pac. J. Oper. Res., 2009)

New optimality conditions for quadratic optimization problems with binary constraints. - Yong Xia 002 (Optim. Lett., 2009)

An efficient continuation method for quadratic assignment problems. - Yong Xia 002 (Comput. Oper. Res., 2010)

Duality Gap Estimation of Linear Equality Constrained Binary Quadratic Programming. - Xiaojin Zheng; Xiaoling Sun 001; Duan Li 002; Yong Xia 002 (Math. Oper. Res., 2010)

Two-point step-size iterative soft-thresholding method for sparse reconstruction. - Hao Wang 045; Hongying Liu; Yong Xia 002 (Int. J. Comput. Math., 2011)

On The Reduction of Duality Gap in Box Constrained Nonconvex Quadratic Program. - Yong Xia 002; Xiaoling Sun 001; Duan Li 002; Xiaojin Zheng (SIAM J. Optim., 2011)

Improved estimation of duality gap in binary quadratic programming using a weighted distance measure. - Yong Xia 002; Ruey-Lin Sheu; Xiaoling Sun 001; Duan Li 002 (Eur. J. Oper. Res., 2012)

Duality and solutions for quadratic programming over single non-homogeneous quadratic constraint. - Joe-Mei Feng; Gang-Xuan Lin; Ruey-Lin Sheu; Yong Xia 002 (J. Glob. Optim., 2012)

Tightening a copositive relaxation for standard quadratic optimization problems. - Yong Xia 002; Ruey-Lin Sheu; Xiaoling Sun 001; Duan Li 002 (Comput. Optim. Appl., 2013)

New results on semidefinite bounds for ℓ1-constrained nonconvex quadratic optimization. - Yong Xia 002 (RAIRO Oper. Res., 2013)

Partial Lagrangian relaxation for the unbalanced orthogonal Procrustes problem. - Yong Xia 002; Ying-Wei Han (Math. Methods Oper. Res., 2014)

On Sufficient Global Optimality Conditions for Bivalent Quadratic Programs with Quadratic Constraints. - Yu-Jun Gong; Yong Xia 002 (Asia Pac. J. Oper. Res., 2015)

On improving convex quadratic programming relaxation for the quadratic assignment problem. - Yong Xia 002; Wajeb Gharibi (J. Comb. Optim., 2015)

Parametric Lagrangian dual for the binary quadratic programming problem. - Yong Xia 002; Wenxun Xing (J. Glob. Optim., 2015)

Strong duality for generalized trust region subproblem: S-lemma with interval bounds. - Shu Wang; Yong Xia 002 (Optim. Lett., 2015)

Maximizing the sum of a generalized Rayleigh quotient and another Rayleigh quotient on the unit sphere via semidefinite programming. - Van-Bong Nguyen; Ruey-Lin Sheu; Yong Xia 002 (J. Glob. Optim., 2016)

S-lemma with equality and its applications. - Yong Xia 002; Shu Wang; Ruey-Lin Sheu (Math. Program., 2016)

An SDP approach for quadratic fractional problems with a two-sided quadratic constraint. - Van-Bong Nguyen; Ruey-Lin Sheu; Yong Xia 002 (Optim. Methods Softw., 2016)

Strong duality in optimization: shifted power reformulation. - Yong Xia 002; Duan Li 002 (Optim. Methods Softw., 2016)

On linearization techniques for budget-constrained binary quadratic programming problems. - Mei-Jia Yang; Yong Xia 002; Hui-Min Zou (Oper. Res. Lett., 2016)

On the Ball-Constrained Weighted Maximin Dispersion Problem. - Shu Wang; Yong Xia 002 (SIAM J. Optim., 2016)

A linear-time algorithm for the trust region subproblem based on hidden convexity. - Jiulin Wang; Yong Xia 002 (Optim. Lett., 2017)

Efficiently solving total least squares with Tikhonov identical regularization. - Mei-Jia Yang; Yong Xia 002; Jiulin Wang; Jiming Peng (Comput. Optim. Appl., 2018)

Approximating the weighted maximin dispersion problem over an $$ ell _p$$ ℓ p -ball: SDP relaxation is misleading. - Zuping Wu; Yong Xia 002; Shu Wang (Optim. Lett., 2018)

Minimizing the sum of linear fractional functions over the cone of positive semidefinite matrices: Approximation and applications. - Yong Xia 002; Longfei Wang; Shu Wang (Oper. Res. Lett., 2018)

On Chebyshev Center of the Intersection of Two Ellipsoids. - Xiaoli Cen; Yong Xia 002; Runxuan Gao; Tianzhi Yang (WCGO, 2019)

Solving a Type of the Tikhonov Regularization of the Total Least Squares by a New S-Lemma. - Huu-Quang Nguyen; Ruey-Lin Sheu; Yong Xia 002 (WCGO, 2019)

A fast algorithm for globally solving Tikhonov regularized total least squares problem. - Yong Xia 002; Longfei Wang; Mei-Jia Yang (J. Glob. Optim., 2019)

A Linear-Time Algorithm for Globally Maximizing the Sum of a Generalized Rayleigh Quotient and a Quadratic Form on the Unit Sphere. - Long-Fei Wang; Yong Xia 002 (SIAM J. Optim., 2019)

Efficient local search procedures for quadratic fractional programming problems. - Luca Consolini; Marco Locatelli 001; Jiulin Wang; Yong Xia 002 (Comput. Optim. Appl., 2020)

Globally minimizing the sum of a convex-concave fraction and a convex function based on wave-curve bounds. - Yong Xia 002; Longfei Wang; Xiaohui Wang (J. Glob. Optim., 2020)

Globally maximizing the sum of squares of quadratic forms over the unit sphere. - Xiaoli Cen; Yong Xia 002 (Optim. Lett., 2020)

On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint. - Mei-Jia Yang; Yong Xia 002 (Optim. Lett., 2020)

Closing the Gap between Necessary and Sufficient Conditions for Local Nonglobal Minimizer of Trust Region Subproblem. - Jiulin Wang; Yong Xia 002 (SIAM J. Optim., 2020)

A linear-time algorithm for minimizing the ratio of quadratic functions with a quadratic constraint. - Liping Wang; Tengfei Ma; Yong Xia 002 (Comput. Appl. Math., 2021)

A New Global Optimization Scheme for Quadratic Programs with Low-Rank Nonconvexity. - Xiaoli Cen; Yong Xia 002 (INFORMS J. Comput., 2021)

Cheaper relaxation and better approximation for multi-ball constrained quadratic optimization and extension. - Zhuoyi Xu; Yong Xia 002; Jiulin Wang (J. Glob. Optim., 2021)

Chebyshev center of the intersection of balls: complexity, relaxation and approximation. - Yong Xia 002; Mei-Jia Yang; Shu Wang (Math. Program., 2021)

Quadratic double-ratio minimax optimization. - Arezu Zare; Ali Ashrafi; Yong Xia 002 (Oper. Res. Lett., 2021)

Comment on "Approximation algorithms for quadratic programming". - Tongli Zhang; Yong Xia 002 (J. Comb. Optim., 2022)

Covering a simplex by spheres: complexity and algorithms. - Tongli Zhang; Yong Xia 002 (J. Glob. Optim., 2022)

On Local Nonglobal Minimum of Trust-Region Subproblem and Extension. - Jiulin Wang; Mengmeng Song; Yong Xia 002 (J. Optim. Theory Appl., 2022)

Toward Nonquadratic S-Lemma: New Theory and Application in Nonconvex Optimization. - Mei-Jia Yang; Shu Wang; Yong Xia 002 (J. Optim. Theory Appl., 2022)

Calabi-Polyak convexity theorem, Yuan's lemma and S-lemma: extensions and applications. - Mengmeng Song; Yong Xia 002 (J. Glob. Optim., 2023)

On Local Minimizers of Nonconvex Homogeneous Quadratically Constrained Quadratic Optimization with at Most Two Constraints. - Mengmeng Song; Hongying Liu; Jiulin Wang; Yong Xia 002 (SIAM J. Optim., 2023)

A partial ellipsoidal approximation scheme for nonconvex homogeneous quadratic optimization with quadratic constraints. - Zhuoyi Xu; Linbin Li; Yong Xia 002 (Math. Methods Oper. Res., 2023)

Local Optimality Conditions for a Family of Hidden Convex Optimization. - Mengmeng Song; Yong Xia 002; Hongying Liu (INFORMS J. Optim., 2023)

An indefinite proximal subgradient-based algorithm for nonsmooth composite optimization. - Rui Liu; Deren Han; Yong Xia 002 (J. Glob. Optim., 2023)

Simultaneous perturbation stochastic approximation: towards one-measurement per iteration. - Shiru Li; Yong Xia 002; Zi Xu (Numer. Algorithms, 2023)

Block Sparse Bayesian Learning: A Diversified Scheme. - Yanhao Zhang; Zhihan Zhu; Yong Xia 002 (NeurIPS, 2024)

Learning with Diversification from Block Sparse Signal. - Yanhao Zhang; Zhihan Zhu; Yong Xia 002 (CoRR, 2024)

Linear Programming on the Stiefel Manifold. - Mengmeng Song; Yong Xia 002 (SIAM J. Optim., 2024)

A family of Barzilai-Borwein steplengths from the viewpoint of scaled total least squares. - Shiru Li; Tao Zhang; Yong Xia 002 (Comput. Optim. Appl., 2024)

A unified algorithmic framework for dynamic compressive sensing. - Xiaozhi Liu; Yong Xia 002 (Signal Process., 2025)

Cubic NK-SVD: An algorithm for designing parametric dictionary in frequency estimation. - Xiaozhi Liu; Yong Xia 002 (Signal Process., 2025)

O(1/k2) convergence rates of (dual-primal) balanced augmented Lagrangian methods for linearly constrained convex programming. - Tao Zhang; Yong Xia 002; Shiru Li (Numer. Algorithms, 2025)

Convergence rate of projected subgradient method with time-varying step-sizes. - Zhihan Zhu; Yanhao Zhang; Yong Xia 002 (Optim. Lett., 2025)

Bivalent quadratic optimization with sum-of-square of quadratic penalties. - Tongli Zhang; Yong Xia 002 (J. Comb. Optim., 2025)