BIMSA > Fansheng Xiong
Assistant Professor Fansheng Xiong

Group: Computational Mathematics

Office: A3-1-305

Email: fansheng_xiong@bimsa.cn

Research Field: Machine Learning

CV

Biography

Fansheng Xiong (熊繁升) is currently an Assistant Professor of BIMSA. Before that, he received his doctoral degree in 2020 from Tsinghua University, and he was a visiting research assistant at Yale University during 2018-2019. His research interest mainly focuses on solving forward/inverse problems of PDEs based on machine learning method, and the application of PINN, DeepONet, Reduced Order Model in exploration geophysics, especially seismic rock physics. He is PI for grant from National Natural Science Foundation of China, and he has published papers in journals like Journal of Geophysical Research-Solid Earth, Geophysical Journal International, and Geophysics.

Research Interest

  • Modelling and computing based on machine learning; Applied mathematics

Education Experience

  • 2016 - 2020      Institute for Advanced Study, Tsinghua University      Applied Mathematics      Doctor
  • 2013 - 2016      School of Engineering and Technology, China University of Geosciences      Geological Engineering      Master      Joint M.S. student with Tsinghua University
  • 2009 - 2013      School of Engineering and Technology, China University of Geosciences      Geological Engineering      Bachelor

Work Experience

  • 2022 -      BIMSA      Assistant Professor
  • 2020 - 2022      Institute of Applied Physics and Computational Mathematics, Beijing      Postdoc

Honors and Awards

  • 2016      Outstanding graduates of Beijing
  • 2013      Outstanding graduates of Beijing
  • 2012      The second prize of Mathematical Modeling Competition for College Students of China
  • 2011      The first prize of Mathematics Competition for College Students of Beijing
  • 2011      The first prize of Mathematics Competition for College Students of China

Publication

  • [1] Fansheng Xiong, Jiawei Liu, Zhenwei Guo, Bochen Wang, Jianxin Liu, Wave propagation model considering cross-scale attenuation mechanism and pressure influence (2025)
  • [2] Zhenwei Guo, Boyao Zhang, Bo Chen, Bochen Wang, Yanyi Wang, Xiaolong Wei*, Fansheng Xiong*, Neural network-assisted Lp-norm inversion constrained by geological insights using full-tensor gradiometry data (2025)
  • [3] Zhenwei Guo, Yanyi Wang*, Bochen Wang, Boyao Zhang, Fansheng Xiong*, Joint Petrophysical Inversion of Pre-stack seismic and Resistivity Data Powered by Deep Learning (2025)
  • [4] Bochen Wang, Zhenwei Guo, Jianxin Liu, Yanyi Wang, Fansheng Xiong*, Geophysical Frequency Domain Electromagnetic Field Simulation Using Physics-Informed Neural Network, Mathematics, 12(23), 3873 (2024)
  • [5] Jiawei Liu, Fansheng Xiong*, Zhenwei Guo, and Jianxin Liu, Deep-learning-based surrogate model for forward and inverse problems of wave propagation in porous media saturated with two fluids, Acta Geophysica, 72(4), 2249-2261 (2024)
  • [6] Xiaopei Jiao, Fansheng Xiong*, GsPINN: A novel fast Green kernel solver based on symmetric Physics-Informed neural networks (2024)
  • [7] Li Liu, Shengping Liu, Hui Xie, Fansheng Xiong, Tengchao Yu, Mengjuan Xiao, Lufeng Liu, and Heng Yong, Discontinuity computing using physics-informed neural networks, Journal of Scientific Computing, 98(1), 22 (2024)
  • [8] Fansheng Xiong, Li Liu, Shengping Liu, Han Wang, and Heng Yong, Gradient-weighted physics-informed neural networks for one-dimensional Euler equation, Authorea Preprints (2023)
  • [9] Fansheng Xiong, Bochen Wang, Jiawei Liu, Zhenwei Guo, and Jianxin Liu, Biot’s theory-based dynamic equations modeling using machine learning auxiliary approach, Journal of Geophysics and Engineering, 20(2023), 1348-1360
  • [10] Fansheng Xiong, and Wen-An Yong, Learning stable seismic wave equations for porous media from real data, Geophysical Journal International, 230(1), 349-362 (2022)
  • [11] F Xiong, J Liu, Z Guo, J Liu, Deep-neural-networks-based approaches for Biot–squirt model in rock physics, Acta Geophysica, 70(2), 593-607 (2022)
  • [12] F Xiong, H Yong, H Chen, H Wang, W Shen, Biot's equations-based reservoir parameter inversion using deep neural networks, Journal of Geophysics and Engineering, 18(6), 862-874 (2021)
  • [13] F Xiong, J Ba, D Gei, JM Carcione, Data‐driven design of wave‐propagation models for shale‐oil reservoirs based on machine learning, Journal of Geophysical Research: Solid Earth, 126(12), e2021JB022665 (2021)
  • [14] Fansheng Xiong, Jiawei Liu, Zhenwei Guo, et al., Stability analysis-based reformulation of wave equations for poro-elastic media saturated with two fluids, Geophysical Journal International, 226(1), 327-344 (2021)
  • [15] F Xiong, J Liu, Z Guo, J Liu, Wave equations of porous media saturated with two immiscible fluids based on the volume averaging method, Frontiers in Earth Science, 9, 618909 (2021)
  • [16] F Xiong, W Sun, J Liu, The stability of poro-elastic wave equations in saturated porous media, Acta Geophysica, 69(1), 65-75 (2021)
  • [17] Fansheng Xiong,Lideng,Gan,Weitao Sun,et al., Characterization of reservoir permeability and analysis of influencing factors in fracture-pore media, Chinese Journal of Geophysics, 64(1), 279-288 (2021)
  • [18] Fansheng Xiong, Heng Yong, Hua Chen, Han Wang, and Weidong Shen, Biot’s equations-based reservoir parameter inversion using deep neural networks, Journal of Geophysics and Engineering, 18(2021), 6, 862-874
  • [19] Fansheng Xiong, Jing Ba, Davide Gei, and José M. Carcione, Data-driven design of wave-propagation models for shale-oil reservoirs based on machine learning, Journal of Geophysical Research: Solid Earth, 126(2021), 12, e2021JB022665
  • [20] Fansheng Xiong, Weitao Sun, Jing Ba, José M. Carcione, Effects of fluid rheology and pore connectivity on rock permeability based on a network model, Journal of Geophysical Research: Solid Earth, 125(3), no-no (2020)
  • [21] Fansheng Xiong, Weitao Sun, Jiawei Liu, The stability of poro elastic wave equations in saturated porous media, Acta Geophysica, 69, 65-75 (2020)
  • [22] Fansheng Xiong, Philip Wang, Corey O’Hern, et al., Comparison of shear and compression jammed packings of frictional disks, Granular Matter, 21(4), 109 (2019)
  • [23] Fansheng Xiong,Rongxian Li,Xiaoqiao Gao,et al., An improved L1-norm adaptive multiple subtraction method based on non-causal matching filter, Computing Techniques for Geophysical and Geochemical Exploration, 37(2), 215-223 (2015)
  • [24] Fansheng Xiong, Xinwu Huang, Di Zhang, et al., Adaptive multiple subtraction method based on hybrid L1/L2 norm, Geophysical and Geochemical Exploration, 38(5), 996-1002 (2014)
  • [25] Fansheng Xiong, Xinwu Huang, Xiaoqiao Gao, et al., Adaptive multiple subtraction using L1-norm and the application analysis, Computing Techniques for Geophysical and Geochemical Exploration, 36(1), 80-86 (2014)

 

Update Time: 2025-10-14 12:00:07