副教授
工作经历
教育背景
2016.09-2019.11，香港浸会大学，数学系，博士
2013.09-2016.08，澳门大学，数学系，硕士
计算流体力学和区域分解方法
近期主要从事多介质流体模型的高阶保物理约束方法研究
科研项目
2024.01-2025.12，广州市基础与应用基础研究专题（青年博士“启航”项目）（主持，编号：SL2023A04J00672）
2024.01-2026.12，国家自然科学基金青年科学基金项目（主持，批准号：12301505）
2021.11-2022.06，中国博士后科学基金面上项目（主持，资助编号：2021M703040）
科研论文（*表示通讯作者，同Prof. Alexander Kurganov合作论文按姓氏排序，所有作者视为同等贡献）
已投稿的文章
期刊论文
会议论文
[1] Shumo Cui, Yaguang Gu*, Alexander Kurganov, and Ruixiao Xin, New Low-Dissipation Central-Upwind Scheme for Relativistic Hydrodynamics, submitted to Proceedings of the International Conference on Hyperbolic Problems: Theory, Numerics, and Applications (HYP2024).
已发表和接收的文章
期刊论文
[14] Qingcheng Fu, Yaguang Gu*, Alexander Kurganov, and Bao-Shan Wang, Bound- and Positivity-Preserving Path-Conservative Central-Upwind AWENO Scheme for the Five-Equation Model of Compressible Two-component Flows, Journal of Scientific Computing, 104 (2025), Article No. 94.
[13] Shumo Cui, Yaguang Gu, Alexander Kurganov, Kailiang Wu, and Ruixiao Xin*, Positivity-Preserving New Low-Dissipation Central-Upwind Schemes for Compressible Euler Equations, Journal of Computational Physics, 538 (2025), Article No. 114189.
[12] Yue Liu, Zhen Gao, Peng Li and Yaguang Gu*, High Order Well-Balanced Finite Difference AWENO Scheme for Ripa and Pollutant Transport Systems, Advances in Applied Mathematics and Mechanics, 17 (2025), pp. 554-572.
[11] Zhen Gao, Shuang Guo, Bao-Shan Wang, and Yaguang Gu*, High Order Bound- and Positivity-preserving Finite difference Affine-invariant AWENO Scheme for the Five-equation Model of Two-medium Flows, Communications in Computational Physics, 36 (2024), pp. 781-820.
[10] Qingcheng Fu, Zhen Gao, Yaguang Gu, Peng Li*, and Bao-Shan Wang, Improved Well-balanced AWENO Schemes with Hydrostatic Reconstruction for the Euler Equations Under Gravitational Fields, Mathematics and Computers in Simulation, 2024, 221, pp. 260-280.
[9] Baifen Ren, Zhen Gao, Yaguang Gu, Shusen Xie, and Xiangxiong Zhang*, A Positivity-Preserving and Well-Balanced High Order Compact Finite Difference Scheme for Shallow Water Equations, Communications in Computational Physics, 35 (2024), pp. 524-552.
[8] Yaguang Gu, Zhen Gao*, Guanghui Hu, Peng Li, and Qingcheng Fu, High OrderWell-balanced Positivity-preserving Scale-invariant AWENO Scheme for EulerSystems with Gravitational Field, Journal of Computational Physics, 488 (2023), Article No. 112190.
[7] Xucheng Meng, Yaguang Gu and Guanghui Hu*, A Fourth-order Unstructured NURBS-enhanced Finite Volume WENO Scheme for Steady Euler Equations on Curved Geometries, Communications on Applied Mathematics and Computation, 5 (2023), pp. 315-342.
[6] Yaguang Gu, Dongmi Luo, Zhen Gao* and Yibing Chen, An Adaptive Moving Mesh Method for the Five-equation Model, Communications in Computational Physics, 32 (2022), pp. 189-221.
[5] Qingcheng Fu, Zhen Gao, Yaguang Gu and Peng Li*, High order well-balanced conservative finite difference AWENO scheme with hydrostatic reconstruction for the Euler equations under gravitational fields, Applied Numerical Mathematics, 180 (2022), pp. 1-15.
[4] Yaguang Gu, Zhen Gao*, Guanghui Hu, Peng Li and Lifeng Wang, High Order Finite Difference Alternative WENO Scheme for Multi-component Flows, Journal of Scientific Computing, 89 (2021), Article No. 52.
[3] Yaguang Gu and Felix Kwok*, On the Choice of Robin Parameters for the Optimized Schwarz Method for Domains with Non-conforming Heterogeneities, Journal of Scientific Computing, 89 (2021), Article No. 5
[2] Yaguang Gu, Zhen Gao*, Guanghui Hu, Peng Li, and Lifeng Wang, A Robust High Order Alternative WENO Scheme for the Five-Equation Model, Journal of Scientific Computing, 88 (2021), Article No. 12.
[1] Yaguang Gu and Guanghui Hu*, A Third Order Adaptive ADER Scheme for One Dimensional Conservation Laws, Communications in Computational Physics, 22 (2017), pp. 829-851.
会议论文
[1] Yaguang Gu and Felix Kwok, Optimized Schwarz-based Nonlinear Preconditioning for Elliptic PDEs, Domain Decomposition Methods in Computational Science and Engineering XXV, Lecture Notes in Computational Science and Engineering, Springer, 138 (2020), pp. 260-267.
教学项目
校级智慧课程（AI辅助课程）培育项目--线性代数与解析几何（参与，主持人：韩乐副教授）
AI赋能下的微积分混合式教学探索（参与，主持人：林鸿莺副教授）
已授课程
2022-2023，第二学期：概率论与数理统计（本科生公共课）
2023-2024，第一学期：线性代数与解析几何（本科生公共课）
2024-2025，第一学期：线性代数与解析几何（本科生公共课）
电子邮箱：guyaguang@scut.edu.cn
办公室：华南理工大学（五山校区）4号楼数学学院4136房间