滕飞

职称:助理研究员

邮箱:tengfei@ncic.ac.cn

研究方向:统计机器学习中的随机优化方法

个人描述:

2005年毕业于北京大学数学科学学院,2010年于中科院数学与系统科学研究院获得博士学位,曾经从事过的研究方向包括计算流体力学,太阳磁场观测中的反演计算,统计机器学习中的随机优化方法,以及随机微分方程等。

发表论文:

Fei Teng and Yuanyong Deng. A fast stokes inversion technique based on

quadratic regression. Res. Astron. Astrophys., 16(5):71(10pp), 2016

Fei Teng. Application of kernel based machine learning to the inversion prob-

lem of photospheric magnetic fields. Solar Physics, 290(10):2693–2708, 2015

• Fei Teng and Yuanyong Deng. Some tests and improvements to the VFISV:

Very Fast Inversion of the Stokes Vector for the Helioseismic and Magnetic

Imager. Res. Astron. Astrophys., 14(11):1469–1480, 2014

Xianyong Bai, Yuanyong Deng, Jiangtao Su, and Fei Teng. Diagnostic of

chromospheric magnetic fields with the mg b 2 line. In K. N. Nagendra, J. O.

Stenflo, Q. Qu, and M. Samooprna, editors, Solar Polarization 7, volume 489

of Astronomical Society of the Pacific Conference Series, page 89, October

2014

Xianyong Bai, Yuanyong Deng, Fei Teng, Jiangtao Su, Xinjie. Mao, and Guop-

ing Wang. Improved magnetogram calibration of solar magnetic field telescope

and its comparison with the helioseismic and magnetic imager. Monthly No-

tices of the Royal Astronomical Society, 445(1):49–55, 2014

Fei Teng, Li Yuan, and Tao Tang. A speed-up strategy for finite volume weno

schemes for hyperbolic conservation laws. Journal of Scientific Computing,

46(3):359–378(20), 2011

Li Yuan, Fei Teng, and Wei Liu. Resolving chemically reacting flow using

moving mesh method. In F.G. Zhuang and J.C. Li, editors, New Trends in

Fluid Mechanics Research, pages 538–541. Springer Berlin Heidelberg, 2009