个人简介
Xiaocheng Shang，爱丁堡大学应用与计算数学博士，于2019年加入伯明翰大学数学学院担任讲师。
联系方式
教育背景
2011获浙江工业大学数学与应用数学(一级)学士学位
2012年获邓迪大学数学生物学(一级) 硕士学位
2016年获爱丁堡大学应用与计算数学博士学位
科研专长及成果
主要研究兴趣在于随机微分方程数值方法的优化设计，重点关注从计算数学、统计学、物理学到数据科学的应用。
教学专长及成果
金融经济统计方法
代表性学术出版物
Structure-preserving integrators for dissipative systems based on reversible-irreversible splitting. Xiaocheng Shang, 12 Feb 2020, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 476, 2234, 25 p., 20190446.
Time correlation functions of equilibrium and nonequilibrium Langevin dynamics: derivations and numerics using random numbers. Xiaocheng Shang, 28 Oct 2019, (Accepted/In press) In : SIAM Review.
Assessing numerical methods for molecular and particle simulation. Xiaocheng Shang, 25 Oct 2017, In : Soft Matter. 45, 13, p. 8565-8578 14 p.
Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics. Xiaocheng Shang, 1 Nov 2016, In : Journal of Computational Physics. 324, p. 174-193 20 p.
Adaptive thermostats for noisy gradient systems. Xiaocheng Shang, 1 Mar 2016, In : SIAM Journal on Scientific Computing. 38, 2, p. A712-A736 25 p.
Covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling. Xiaocheng Shang, 2015, Advances in Neural Information Processing Systems 28 . p. 37-45
On the numerical treatment of dissipative particle dynamics and related systems. Xiaocheng Shang, 2015, In : Journal of Computational Physics. 280, p. 72-95
