BIMSA > 熊繁升
助理研究员 熊繁升

团队: 计算数学

办公室: A3-1-305

邮箱: fansheng_xiong@bimsa.cn

研究方向: 机器学习

CV

个人简介

熊繁升，现任北京雁栖湖应用数学研究院助理研究员，曾任北京应用物理与计算数学研究所所聘博士后。先后毕业于中国地质大学(北京)、清华大学，美国耶鲁大学联合培养博士。研究兴趣主要集中于基于机器学习算法(DNN、PINN、DeepONet等)求解微分方程模型正/反问题及其在地球物理波传播问题中的应用，相关成果发表在JGR Solid Earth、GJI、Geophysics等期刊上。

研究兴趣

  • Modelling and computing based on machine learning; Applied mathematics

教育经历

  • 2016 - 2020      清华大学      应用数学      博士
  • 2013 - 2016      中国地质大学      地质工程      硕士      Joint M.S. student with Tsinghua University
  • 2009 - 2013      中国地质大学      地质工程      学士

工作经历

  • 2022 -      北京雁栖湖应用数学研究院      助理研究员
  • 2020 - 2022      北京应用物理与计算数学研究所      博士后

荣誉与奖项

  • 2016      北京市优秀毕业生
  • 2013      北京市优秀毕业生
  • 2012      全国大学生数学建模大赛二等奖
  • 2011      北京大学生数学竞赛一等奖
  • 2011      全国大学生数学竞赛一等奖

出版物

  • [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, 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
  • [19] 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
  • [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)

 

更新时间: 2025-10-25 17:00:08