Yong Xia (Hsia)

Yong Xia (Hsia)

Beihang University

H-index: 15

Asia-China

About Yong Xia (Hsia)

Yong Xia (Hsia), With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at Beihang University, specializes in the field of Optimization, Operations Research.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cheaper relaxation and better approximation for multi-ball constrained quadratic optimization and extension

Chebyshev center of the intersection of balls: complexity, relaxation and approximation

A new global optimization scheme for quadratic programs with low-rank nonconvexity

Semidefinite relaxation for the total least squares problem with Tikhonov-like regularization

A new Barzilai-Borwein steplength from the viewpoint of total least squares

On local minimizers of quadratically constrained nonconvex homogeneous quadratic optimization with at most two constraints

A linear-time algorithm for minimizing the ratio of quadratic functions with a quadratic constraint

On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint

Yong Xia (Hsia) Information

University

Position

Professor of Mathematics

Citations(all)

762

Citations(since 2020)

454

Cited By

5078

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

26

i10Index(since 2020)

16

Email

University Profile Page

Beihang University

Google Scholar

View Google Scholar Profile

Yong Xia (Hsia) Skills & Research Interests

Optimization

Operations Research

Top articles of Yong Xia (Hsia)

Title

Journal

Author(s)

Publication Date

Cheaper relaxation and better approximation for multi-ball constrained quadratic optimization and extension

Journal of Global Optimization

Zhuoyi Xu

Yong Xia

Jiulin Wang

2021/6

Chebyshev center of the intersection of balls: complexity, relaxation and approximation

Mathematical Programming

Yong Xia

Meijia Yang

Shu Wang

2021/5

A new global optimization scheme for quadratic programs with low-rank nonconvexity

INFORMS journal on computing

Xiaoli Cen

Yong Xia

2021/10

Semidefinite relaxation for the total least squares problem with Tikhonov-like regularization

Optimization

Xiaoli Cen

Yong Xia

Meijia Yang

2021/2/1

A new Barzilai-Borwein steplength from the viewpoint of total least squares

arXiv preprint arXiv:2107.06687

Shiru Li

Yong Xia

2021/7/14

On local minimizers of quadratically constrained nonconvex homogeneous quadratic optimization with at most two constraints

arXiv preprint arXiv:2107.05816

Mengmeng Song

Hongying Liu

Yong Xia

2021/7/13

A linear-time algorithm for minimizing the ratio of quadratic functions with a quadratic constraint

Computational and Applied Mathematics

Liping Wang

Tengfei Ma

Yong Xia

2021/6

On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint

Optimization Letters

Meijia Yang

Yong Xia

2020/4

ON BOX-CONSTRAINED TOTAL LEAST SQUARES PROBLEM.

Numerical Algebra, Control & Optimization

Zhuoyi Xu

Yong Xia

Deren Han

2020/12/1

A survey of hidden convex optimization

Journal of the Operations Research Society of China

Yong Xia

2020/3

Globally maximizing the sum of squares of quadratic forms over the unit sphere

Optimization Letters

Xiaoli Cen

Yong Xia

2020/10

GPS localization problem: a new model and its global optimization

Optimization and Engineering

Xiaohui Wang

Hao Zhang

Yong Xia

2020/9

Closing the gap between necessary and sufficient conditions for local nonglobal minimizer of trust region subproblem

SIAM Journal on Optimization

Jiulin Wang

Yong Xia

2020

Globally minimizing the sum of a convex–concave fraction and a convex function based on wave-curve bounds

Journal of Global Optimization

Yong Xia

Longfei Wang

Xiaohui Wang

2020/6

Deciding whether two quadratic surfaces actually intersect

arXiv preprint arXiv:2012.10318

Huu-Quang Nguyen

Ruey-Lin Sheu

Yong Xia

2020/12/18

On Chebyshev center of the intersection of two ellipsoids

Xiaoli Cen

Yong Xia

Runxuan Gao

Tianzhi Yang

2020

Solving a new type of quadratic optimization problem having a joint numerical range constraint

arXiv preprint arXiv:2012.10327

Huu-Quang Nguyen

Ruey-Lin Sheu

Yong Xia

2020/12/18

Efficient local search procedures for quadratic fractional programming problems

Computational Optimization and Applications

Luca Consolini

Marco Locatelli

Jiulin Wang

Yong Xia

2020/5

See List of Professors in Yong Xia (Hsia) University(Beihang University)