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 Researcher Fellow of BIMSA. Before that, he got a bachelor's degree from China University of Geosciences (Beijing), and a doctoral degree from Tsinghua University. He was a visiting student at Yale University for one year. His research interest mainly focuses on solving PDE-related forward/inverse problems based on machine learning algorithms (DNN, PINN, DeepONet, etc.), and their applications in geophysical wave propagation problems and turbulence modeling of fluid mechanics. The relevant efforts have been published in journals such as JGR Solid Earth, GJI, Geophysics, etc.

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] B Wang, Z Guo, J Liu, Y Wang, F Xiong*, Geophysical Frequency Domain Electromagnetic Field Simulation Using Physics-Informed Neural Network, Mathematics, 12(23), 3873 (2024)
  • [5] Zhijian Fang, Jing Ba, Jose M. Carcione, Fansheng Xiong, Li Gao, Permeability prediction using logging data from tight reservoirs based on deep neural networks, Journal of Applied Geophysics, 229, 105501 (2024)
  • [6] Zhijian Fang, Jing Ba, Qiang Guo, and Fansheng Xiong, Shear-wave velocity prediction of tight reservoirs based on poroelasticity theory: A comparative study of deep neural network and rock physics model, Geoenergy Science and Engineering, 240, 213028 (2024)
  • [7] 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)
  • [8] Jiao, X., Xiong, F*., GsPINN: A novel fast Green kernel solver based on symmetric Physics-Informed neural networks, arXiv preprint arXiv:2407.20155 (2024)
  • [9] 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)
  • [10] F Xiong, B Wang, J Liu, Z Guo, J Liu, Biot's theory-based dynamic equation modeling using a machine learning auxiliary approach, Journal of Geophysics and Engineering, 20(6), 1348-1360 (2023)
  • [11] L Liu, S Liu, H Yong, F Xiong, T Yu, Enhancing the shock-capturing ability of physics-informed neural network by weakening its expression near shocks, Authorea Preprints (2023)
  • [12] 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)
  • [13] Feng Tian, Junlei Wang, Zhenhua Xu, Fansheng Xiong, Peng Xia, A nonlinear model of multifractured horizontal wells in heterogeneous gas reservoirs considering the effect of stress sensitivity, Energy, 263, 125979 (2023)
  • [14] 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
  • [15] 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)
  • [16] L Liu, S Liu, H Yong, F Xiong, T Yu, Discontinuity computing with physics-informed neural network, arXiv preprint arXiv:2206.03864 (2022)
  • [17] 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)
  • [18] Fansheng Xiong, Jiawei Liu, Zhenwei Guo, and Jianxin Liu, Deep-Neural-Networks-based Approaches for Biot-Squirt Model in Rock Physics, Acta Geophysica, 70(2022), 593-607
  • [19] LL WEI, LD GAN, FS XIONG, WT SUN, Q DING, H YANG, Attenuation and dispersion characteristics of P-waves based on the three-dimensional pore network model, Chinese Journal of Geophysics, 64(12), 4618-4628 (2021)
  • [20] 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)
  • [21] 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)
  • [22] WS LIU, J BA, FS XIONG, Study on wave propagation model for Maxwell-fluid-saturated porous media, Progress in Geophysics, 36(5), 2053-2061 (2021)
  • [23] 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)
  • [24] F Chen, L Yao, G Mei, Y Shang, F Xiong, Z Ding, Groundwater quality and potential human health risk assessment for drinking and irrigation purposes: A case study in the semiarid region of north China, Water, 13(6), 783 (2021)
  • [25] 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)
  • [26] F Xiong, W Sun, J Liu, The stability of poro-elastic wave equations in saturated porous media, Acta Geophysica, 69(1), 65-75 (2021)
  • [27] 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)
  • [28] Fansheng Xiong, Jiawei Liu, Zhenwei Guo, et al., 2021. Wave equations of porous media saturated with two immiscible fluids based on the volume averaging method. Frontiers in Earth Sciences, 9: 618909.
  • [29] 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
  • [30] 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
  • [31] 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)
  • [32] Fansheng Xiong, Weitao Sun, Jiawei Liu, The stability of poro elastic wave equations in saturated porous media, Acta Geophysica, 69, 65-75 (2020)
  • [33] 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)
  • [34] W Sun, F Xiong, The effect of Maxwellian fluid on wave propagation in porous media, arXiv preprint arXiv:1908.10495 (2019)
  • [35] M Shattuck, F Xiong, P Wang, A Clark, N Ouellette, C O'Hern, Shear jamming in packings of frictional disks, APS March Meeting Abstracts, 2019, A53. 003 (2019)
  • [36] Weitao Sun, Fansheng Xiong, Jing Ba, et al, Effects of ellipsoidal heterogeneities on wave propagation in partially saturated double-porosity rocks, Geophysics, 83(3), WC71-WC81 (2018)
  • [37] W Sun*, F Xiong, H Cao, M Lu, X Yan, Z Yang, The effect of grain surface energy on elastic wave velocity prediction of sandstone saturated by oil and brine, International Geophysical Conference (2017)
  • [38] 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)
  • [39] Y Hao, G Xiaoqiao, X Fansheng, Z Jialiang, L Yanju, Temperature distribution simulation and optimization design of electric heater for in-situ oil shale heating, Oil Shale, 31(2), 105 (2014)
  • [40] 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)
  • [41] 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)
  • [42] Y HAO, GAO XIAOQIAO, X FANSHENG, Z JIALIANG, LI YANJU, TEMPERATURE DISTRIBUTION SIMULATION AND OPTIMIZATION DESIGN OF ELECTRIC HEATER FOR IN-SITU OIL SHALE HEATING; pp. 105–120,

 

Update Time: 2025-10-06 08:00:08