Publications

Google Scholar

Books and Book Chapters

  1. Qiuyang Shen, Jiefu Chen, Xuqing Wu, Yueqin Huang, and Zhu Han, “Statistical Inversion of Electromagnetic Logging Data,” Springer, 2020.
  2. Jiefu Chen, Shubin Zeng, and Yueqin Huang, “Borehole Electromagnetic Telemetry System: Theory, Modeling, and Applications,” Springer, 2019.
  3. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A Theory-guided Deep Neural Network for Time Domain Electromagnetic Simulation and Inversion Using a Differentiable Programming Platform,” Advances in Time-Domain Computational Electromagnetic Methods, edited by Qiang Re, Su Yan, and Atef Elsherbeni, Page 395-421. IEEE-Wiley, 2022.
  4. Pengfei Wen, Chao Li, Qiang Ren, and Jiefu Chen, “DGTD method for periodic and quasi-periodic structures,” Advances in Time-Domain Computational Electromagnetic Methods, edited by Qiang Re, Su Yan, and Atef Elsherbeni, Page 239-273. IEEE-Wiley, 2022.
  5. Jiefu Chen, Yueqin Huang, Tommy L. Binford, and Xuqing Wu, “Managing Uncertainty in Large-Scale Inversions for the Oil & Gas Industry,” Guide to Big Data Applications, edited by S. Srinivasan, Page 149-173. Springer, 2018.

Patents

  1. Jiefu Chen, Xinyu Liu, and David R. Jackson, “Apparatus and method for wellbore imaging in oil-based mud,” U.S. Patent US11163086B2, issued on Nov. 2, 2021.
  2. Jiefu Chen, “Logging while drilling electrical imager and method for measurement in oil based mud,” U.S. Patent US9797236B2, issued Oct. 24, 2017.
  3. Shanjun Li and Jiefu Chen, “Apparatus and method for simultaneously obtaining quantitative measurements of formation resistivity and permittivity in both water and oil based mud,” U.S. Patent US9341735B1, issued May 17, 2016.
  4. Xin Fu, Aamir Bader Shah, Yu Wen, Jiefu Chen, and Xuqing Wu, “Ensuring a smooth user experience in a multi-user augmented reality System,” Provisional Patent filed in 2023.
  5. Xiaonan Shan, and Jiefu Chen, “Catalysts for microwave reforming of hydrocarbons,” Provisional Patent filed in 2023.
  6. Zheng Chen, Miao Pan, and Jiefu Chen, “Robotic fish enabled CO2 leakage detection for offshore CO2 sequestration monitoring,” Provisional Patent filed in 2022.
  7. Jiefu Chen, Xiaonan Shan, Miao Pan, and Yong Wei, “An energized casing system for wireless telemetry and power transfer in deep subsurface monitoring,” Application WO2021102270A1, published on May 27, 2021.
  8. Xuqing Wu, Jiefu Chen, and Yueqin Huang, “Systems and methods for solving geosteering inverse problems in downhole environments using a deep neural network,” Application WO2020257263A1, published on Dec. 24, 2020.

Journal Papers

  1. Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin M. Comer, Xuqing Wu, Stefan J. Raaijman, Nishant K. Sinha, Shibin Thundiyil, Ganesh Iyer, Lars Grabow, Ligang Lu, and Jiefu Chen, “Rational design of acid stable oxide catalysts for OER with OC22,” accepted by Nanoscale.
  2. Wyatt Bridgman, Uma Balakrishnan, Reese Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, and Mohammad Khalil, “Enhancing polynomial chaos expansion based surrogate modeling using a novel probabilistic transfer learning strategy,” accepted by International Journal for Uncertainty Quantification.
  3. Xiaoliang Li, Chenpei Huang, Debing Wei, Miao Pan, Jiefu Chen, and Xiaonan Shan, “Enhancing subsurface CO2 storage monitoring and sensing: a novel long-term, real-time wireless communication system,” accepted by IEEE Sensors Journal.
  4. Shirui Wang, Xuqing Wu, and Jiefu Chen, “Dip-informed neural network for self-supervised anti-aliasing seismic data interpolation,” accepted by IEEE Transactions on Geoscience and Remote Sensing.
  5. Yuan Zi, Lei Fan Xuqing Wu, Jiefu Chen, and Zhu Han, “Passive-seismic sensor placement optimization for geologic carbon storage,” accepted by Geoenergy Science and Engineering.
  6. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqin Huang, and Jiefu Chen, “3D joint inversion of airborne magnetic and gravity gradient data using deep learning techniques,” accepted by Geophysics.
  7. Xiaoliang Li, Chenpei Huang, David R. Jackson, Miao Pan, Jiefu Chen, and Xiaonan Shan “A Novel Wireless Power Transfer System for Long-term and Real-time Monitoring of Subsurface CO2 Storage,” accepted by IEEE Internet of Things Journal.
  8. Chaoxian Qi, Shubin Zeng, Neil Jerome A. Egarguin, Daniel Onofrei, and Jiefu Chen, “Active control of electromagnetic fields in layered media,” accepted by Journal of Electromagnetic Waves and Applications.
  9. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, Shirui Wang, and Zhu Han, “Active gamma-ray log pattern localization with distributional robust reinforcement learning,” accepted by IEEE Transactions on Geoscience and Remote Sensing.
  10. Carlos Urdaneta, Charls Jeong, Xuqing Wu, and Jiefu Chen, “Deep learning method for improving rate of penetration prediction in drilling,” SEP Journal, SPE-219746-PA, pp. 1-9, 2024.
  11. Yuchen Jin, Qiyu Wan, Xuqing Wu, Xin Fu, and Jiefu Chen, “FPGA-accelerated deep neural network for real-time inversion of geosteering data,” Geoenergy Science and Engineering, vol. 224, 211610, 2023.
  12. Carlos Urdaneta, Arnaud Jarrot, Shirui Wang, Xuqing Wu, and Jiefu Chen, “Deep learning methods for improving electromagnetic telemetry signal-to-noise ratio,” SEP Journal, SPE-214317-PA, pp. 1-14, 2023.
  13. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiuping Chen, Yueqin Huang, and Jiefu Chen, “A deep learning enhanced framework for multi-physics joint inversion,” Geophysics, vol. 88, no. 1, pp. K13–K26, 2023.
  14. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Distributionally robust sensor placement optimization applied to site-scale methane-emissions monitoring,” IEEE Sensors Journal, vol. 22, no. 23, pp. 23403-23412, Dec. 2022.
  15. Yuchen Jin, Yuan Zi, Wenyi Hu, Yanyan Hu, Xuqing Wu, and Jiefu Chen, “A robust transfer learning method for low-frequency extrapolation in GPR full waveform inversion,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
  16. Shirui Wang, Wenyi Hu, Pengyu Yuan, Xuqing Wu, Qunshan Zhang, Prashanth Nadukandi, German Ocampo Botero, and Jiefu Chen, “A self-supervised deep learning method for seismic data deblending using a blind-trace network,” accepted by IEEE Transactions on Neural Networks and Learning Systems.
  17. Chaoxian Qi, Neil Jerome A. Egarguin, Shubin Zeng, Daniel Onofrei, and Jiefu Chen, “Sensitivity analysis for active electromagnetic field manipulation in free space,” Applied Mathematics in Science and Engineering, vol. 30, no. 1, pp. 661-687, 2022.
  18. Chaoxian Qi, David R. Jackson, Yong Wei, and Jiefu Chen, “Near-field sensor based on SIW microstrip cavity resonator with a circular aperture,” IET Microwaves, Antennas & Propagation, vol. 16, no. 9, pp. 574-586, 2022.
  19. Li Yan, Yuchen Jin, Chaoxian Qi, Pengyu Yuan, Shirui Wang, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Deep learning assisted real-time forward and inverse modeling of electromagnetic logging in complex formations,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 8027505, pp. 1-5, 2022.
  20. Pengyu Yuan, Shirui Wang, Wenyi Hu, Prashanth Nadukandi, German Ocampo Botero, Xuqing Wu, Hien Van Nguyen, and Jiefu Chen, “Self-supervised learning for efficient anti-aliasing seismic data interpolation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, no. 5913819, pp. 1-19, 2022.
  21. Li Yan, Hanming Wang, and Jiefu Chen, “2D inversion of ultradeep electromagnetic logging measurements for look-ahead applications,” Interpretation, vol. 10, no. 3, pp. T393-T402, 2022.
  22. Chaoxian Qi, Shubin Zeng, and Jiefu Chen, “Analysis of sound propagation across acoustic ducts with discontinuities using a high precision finite element method,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 7, pp. 36-45, 2022.
  23. Yuchen Jin, Wenyi Hu, Shirui Wang, Yuan Zi, Xuqing Wu, and Jiefu Chen, “Efficient progressive transfer learning for full waveform inversion with extrapolated low-frequency reflection seismic data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, 2022.
  24. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A theory-guided deep neural network for time domain electromagnetic simulation and inversion Using a differentiable programming platforms,” IEEE Transactions on Antennas and Propagation, vol. 70, no. 1, pp. 767-772, Jan. 2022.
  25. Li Yan, Shubin Zeng, and Jiefu Chen, “2D pixel-based inversion for simultaneous reconstruction of resistivity and dielectric constant from electromagnetic logging-while-drilling measurements,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022.
  26. Chaoxian Qi, Neil Jerome A. Egarguin, Daniel Onofrei, and Jiefu Chen, “Feasibility analysis for the problem of active near field/far field acoustic pattern synthesis in free space and shallow water environments,” Acta Acustica, vol. 5, 39, 2021.
  27. Tao Guo, Yong Wei, Ke Li, Qiang Chen, Li Yan, and Jiefu Chen, “Instrument design for detecting the inner damage of casing,” IEEE Access, vol. 9, pp. 102264-102277, 2021.
  28. Debing Wei, Chaoxian Qi, Chenpei Huang, Jiefu Chen, Aijun Song, Gangbing Song, and Miao Pan, “Riding stress wave: underwater communications through pipeline networks,” IEEE Journal of Oceanic Engineering, vol. 46, no. 4, pp. 1450-1462, Oct. 2021.
  29. Yilun Xue, Qiang Ren, Jiefu Chen, and Yuanguo Zhou “Transient electromagnetic-thermal cosimulation for micrometer-level components,” IEEE Transactions on Microwave Theory and Techniques, vol. 69, no. 10, pp. 4341-4351, Oct. 2021.
  30. Michael Bittar, Shirui Wang, Xuqing Wu, and Jiefu Chen, “multi-well logs depth matching using deep Q-learning,” Petrophysics, vol. 62, no. 4, pp. 353–361, Aug. 2021.
  31. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Progressive transfer learning for low frequency data prediction in full waveform inversion,” Geophysics, vol. 86, no. 4, pp. R369–R382, 2021.
  32. Neil Jerome A. Egarguin, Daniel Onofrei, Chaoxian Qi, and Jiefu Chen, “Active manipulation of Helmholtz scalar fields in an ocean of two homogeneous layers of constant depth,” Inverse Problems in Science and Engineering, vol. 29, no. 13, pp. 2491–2515, 2021.
  33. Pan Zhang, Yanyan Hu, Yuchen Jin, Shaogui Deng, Xuqing Wu, and Jiefu Chen “A Maxwell’s equations based deep learning method for time domain electromagnetic simulations,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 6, pp. 35-40, 2021.
  34. Yueqin Dun, Shubin Zeng, and Jiefu Chen, “Element-free Galerkin numerical mode matching methodfor static and time-harmonic electromagnetic fields in orthogonal-plano-cylindrically layered media,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields,” e2837, 2020.
  35. Neil Jerome A. Egarguin, Daniel Onofrei, Chaoxian Qi, and Jiefu Chen, “Active manipulation of Helmholtz scalar fields: near field synthesis with directional far field control,” Inverse Problems, vol.36, 095005, Sept. 2020.
  36. Pengyu Yuan, Shirui Wang, Wenyi Hu, Xuqing Wu, Jiefu Chen, and Hien Van Nguyen, “A robust first-arrival picking workflow using convolutional and recurrent neural networks,” Geophysics, vol. 85,no. 5, pp. U109-U119, 2020.
  37. Han Lu, Qiuyang Shen, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, andYueqin Huang, “Bi-fidelity gradient-based approach for nonlinear well logging inverse problems,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 5, pp. 132-143, 2020.
  38. Debing Wei, Li Yan, Chenpei Huang, Jie Wang, Jiefu Chen, Miao Pan, and Yuguang Fang, “Dynamic magnetic induction wireless communications for autonomous underwater vehicle assisted under water IoT,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9834-9845, Oct. 2020.
  39. Pengfei Wen, Qiang Ren, Jiefu Chen, Aixin Chen, and Yan Zhang, “Improved memory efficient subdomain level discontinuous Galerkin time domain method for periodic/quasi-periodic structures,” IEEE Transactions on Antennas and Propagation, vol. 68, no. 11, pp. 7471-7479, Nov. 2020.
  40. Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, and Jiefu Chen, “A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 11, pp. 8013-8025, Nov. 2020.
  41. Li Yan, Qiuyang Shen, Han Lu, Hanming Wang, Xin Fu, and Jiefu Chen, “Inversion and uncertainty assessment of ultra-deep azimuthal resistivity logging-while-drilling measurements using parti-cle swarm optimization,” Journal of Applied Geophysics, vol. 178, 104059, Jul. 2020.
  42. Zhijian Zhou, Meng Zhang, Jiefu Chen, and Xuqing Wu, “Detection and classification of multi-magnetic targets using mask-RCNN,” IEEE Access, vol. 8, pp. 187202-187207.
  43. Shirui Wang, Qiuyang Shen, Xuqing Wu, and Jiefu Chen, “Automated gamma-ray log pattern alignment and depth matching by machine learning,” Interpretation, vol. 8, no. 3, pp. SL25-SL34, Aug. 2020.
  44. Qiuyang Shen, Jiefu Chen, Xuqing Wu, Zhu Han, and Yueqin Huang, “Parallel tempered trans-dimensional Bayesian inference for the inversion of ultra-deep directional logging-while-drilling resistivity measurements,” Journal of Petroleum Science and Engineering, vol. 188, 106961, May 2020.
  45. Neil Jerome A. Egarguin, Shubin Zeng, Daniel Onofrei, and Jiefu Chen, “Active control of Helmholtz fields in 3D using an array of sources,” Wave Motion, vol. 94, 102523, Mar. 2020.
  46. Yuchen Jin, Qiuyang Shen, Xuqing Wu, Jiefu Chen, and Yueqin Huang, “A physics-driven deep-learning network for solving nonlinear inverse problems,” Petrophysics, vol. 61, no. 1, pp. 86-98, Feb. 2020.
  47. Xunsheng Du, Yuchen Jin, Xuqing Wu, Yu Liu, Xianping Wu, Omar Awan, Joey Roth, Jiefu Chen,and Zhu Han, “Classifying cutting volume at shale shakers in real-time via video streaming using deep learning techniques,” SPE Drilling & Completion, pp. 1-12, Feb. 2020.
  48. Kuo Chun Tsai, Wenyi Hu, Xuqing Wu, Jiefu Chen, and Zhu Han, “Automatic first arrival pickingvia deep learning with human interactive learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 2, pp. 1380-1391, Feb. 2020.
  49. Shubin Zeng, Donald R. Wilton, and Jiefu Chen, “A fast MoM solver for wire-to-surface junctions in layered uniaxial media,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, e2690, 2019.
  50. Yong Wei, Houquan Yu, Qiang Chen, Guoquan Liu, and Jiefu Chen, “Measurement of water holdup in oil-water two-phase flows using coplanar microstrip transmission lines sensor,” IEEE Sensors Journal, vol. 19, pp. 11289-11300, Dec. 2019.
  51. Yong Wei, Houquan Yu, Qiang Chen, Guoquan Liu, Chaoxian Qi, and Jiefu Chen, “A novel conical spiral transmission line sensor-array water holdup detection tool achieving full scale and low error measurement,” Sensors, vol. 19, pp. 4140-4161, 2019.
  52. Han Lu, Qiuyang Shen, Jiefu Chen, Xuqing Wu and Xin Fu, “Parallel multiple-chain DRAM MCMC for large-scale geosteering inversion and uncertainty quantification,” Journal of Petroleum Science and Engineering, vol. 174, pp. 189-200, Mar. 2019.
  53. Shubin Zeng, Donald R. Wilton, and Jiefu Chen, “Multiscale modeling of electromagnetic telemetry in layered transverse isotropic formation,” IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 3, pp. 266-276, 2018.
  54. Qiuyang Shen, Jiefu Chen, and Hanming Wang, “Data-driven interpretation of ultradeep azimuthal propagation resistivity measurements: transdimensional stochastic inversion and uncertainty quantification,” Petrophysics, vol. 59, no. 6, pp. 786-798, Dec. 2018.
  55. Shubin Zeng, Dawei Li, Donald R. Wilton, and Jiefu Chen, “Fast and accurate simulation of electromagnetic telemetry in deviated and horizontal drilling,” Journal of Petroleum Science and Engineering, vol. 166, pp. 242-248, Jul. 2018.
  56. Wenyi Hu, Jiefu Chen, Jianguo Liu, and Aria Abubakar, “Retrieving low wavenumber information in FWI: an overview of the cycle-skipping phenomenon and solutions,” IEEE Signal Processing Magazine, vol. 35, pp. 132-141, Mar. 2018.
  57. Shubin Zeng, Fangzhou Chen, Dawei Li, Ji Chen, and Jiefu Chen, “A novel 2.5D finite difference scheme for simulations of resistivity logging in anisotropic media,” Journal of Applied Geophysics, vol. 150, pp. 144-152, Mar. 2018.
  58. Qiuyang Shen, Xuqing Wu, Jiefu Chen, Zhu Han, and Yueqin Huang, “Solving geosteering inverse problems by stochastic hybrid Monte Carlo method,” Journal of Petroleum Science and Engineering, vol. 161, pp. 9-16, Feb. 2018.
  59. Qiuyang Shen, Xuqing Wu, Jiefu Chen, and Zhu Han, “Distributed Markov chain Monte Carlo method on big-data platform for large-scale geosteering inversion using directional electromagnetic well logging measurements,” Applied Computational Electromagnetics Society Journal, vol. 32, pp. 405-412, May 2017.
  60. Jiefu Chen, “An efficient layered finite element method with domain decomposition for simulations of resistivity well logging,” Journal of Petroleum Science and Engineering, vol. 150, pp. 217-223, Feb. 2017.
  61. Jiefu Chen, Shubin Zeng, Qiuzhao Dong, and Yueqin Huang, “Rapid simulation of electromagnetic telemetry using an axisymmetric semianalytical finite element method,” Journal of Applied Geophysics, vol. 137, pp. 49-54, Feb. 2017.
  62. Hongwei Yang, Bao Zhu, and Jiefu Chen, “Hamiltonian analysis and dual vector spectral elements for 2D Maxwell eigenproblems,” Communications in Computational Physics, vol. 21, no. 2, pp. 515-525, Feb. 2017.
  63. Hongxia Li, Bao Zhu, and Jiefu Chen, “Hybrid FDTD/FETD technique using parametric quadratic programming for nonlinear Maxwell’s equations,” Progress In Electromagnetics Research M, vol. 54, pp. 113123, 2017.
  64. Jiefu Chen, “A domain decomposition semianalytical finite element scheme for electromagnetic simulations in layered media and waveguide discontinuities,” Microwave and Optical Technology Letters, vol. 59, no. 1, pp. 101-105, 2017
  65. Jiefu Chen and Shubin Zeng, “Hybridizing semianalytical and conventional finite-element schemes for simulations of electromagnetic borehole resistivity measurement,” Geophysics, vol. 82, no. 1, pp. E17-E26, 2017.
  66. Hongxia Li, Bao Zhu, and Jiefu Chen, “Optimal design of photonic band-gap structure based on Kriging surrogate model,” Progress In Electromagnetics Research M, vol. 52, pp. 1-8, 2016.
  67. Jiefu Chen, Jing Wang, and Yao Yu, “An improved complex image theory for fast resistivity modeling and its application to geosteering,” Society of Petroleum Engineers Journal, vol. 21, no. 2, pp. 1-8, Mar. 2016.
  68. Bao Zhu, Hongwei Yang, and Jiefu Chen, “A novel finite element time domain method for nonlinear Maxwell’s equations based on the parametric quadratic programming method,” Microwave and Optical Technology Letters, vol. 57, no. 7, pp. 1640-1645, 2015.
  69. Jiefu Chen, “An efficient discontinuous Galerkin finite element method with nested domain decomposition for simulations of microresistivity imaging,” Journal of Applied Geophysics, vol. 114, pp. 116-122, Mar. 2015.
  70. Luis Tobon, Qiang Ren, Qingtao Sun, Jiefu Chen, and Qing H. Liu, “New efficient implicit time integration method for DGTD applied to sequential multidomain and multiscale Problems,” Progress In Electromagnetics Research, vol. 151, pp. 1-8, 2015.
  71. Jiefu Chen, “A semianalytical finite element analysis of electromagnetic propagation in stratified media,” Microwave and Optical Technology Letters, vol. 57, no. 1, pp. 15-18, 2015.
  72. Jiefu Chen, “A memory efficient discontinuous Galerkin finite-element time-domain scheme for simulations of finite periodic structures,” Microwave and Optical Technology Letters, vol. 56, no. 8, pp. 1929-1933, 2014.
  73. Jiefu Chen, Luis Tobon, and Qing H. Liu, “Locally implicit discontinuous Galerkin finite element method for transient analysis of 3D layered structures with electrically small details,” Microwave and Optical Technology Letters, vol. 55, no. 8, pp. 1912-1916, 2013.
  74. Jiefu Chen and Qing H. Liu, “Discontinuous Galerkin time domain methods for multiscale electromagnetic simulations: a review,” Proceedings of the IEEE, vol. 101, no. 2, pp. 242-254, Feb. 2013.
  75. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “A hybrid finite-element / finite-difference method with an implicit-explicit time stepping scheme for Maxwell’s equations,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, vol. 25, no. 5, pp. 607-620, Sept. 2012.
  76. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “Analysis of photonic crystals using the hybrid FETD / FDTD technique based on the discontinuous Galerkin method,” International Journal for Numerical Methods in Engineering, vol. 92, no. 5, pp. 495-506, May 2012.
  77. Jiefu Chen, Luis Tobon, Mei Chai, Jason A. Mix, and Qing H. Liu, “An efficient implicit-explicit time stepping scheme with domain decomposition for multiscale modeling of layered structures,” IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 1, no. 9, pp. 1438-1446, Sept. 2011.
  78. Luis Tobon, Jiefu Chen, and Qing H. Liu, “Spurious solutions in mixed finite element method for Maxwell’s equations: Dispersion analysis and new basis functions,” Journal of Computational Physics, vol. 230, no. 19, pp. 7300-7310, Aug. 2011.
  79. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “A Hybrid FETD-FDTD method with nonconforming meshes,” Communications in Computational Physics, vol. 3, no. 3, pp. 828-842, Mar. 2011.
  80. Jiefu Chen, Bao Zhu, Wanxie Zhong, and Qing H. Liu, “A semi-analytical spectral element method for the analysis of 3D layered structures,” IEEE Transactions on Microwave Theory and Techniques, vol. 59, no. 1, pp. 1-8, Jan. 2011.
  81. Jiefu Chen, Qing H. Liu, Mei Chai, and Jason A. Mix, “A non-spurious 3D vector discontinuous Galerkin finite-element time-domain method,” IEEE Microwave and Wireless Components Letters, vol. 20, no. 1, pp. 1-3, Jan. 2010.
  82. Jiefu Chen and Qing H. Liu, “A non-spurious vector spectral element method for Maxwell’s equations,” Progress In Electromagnetics Research, vol. 96, pp. 205-215, 2009.
  83. Jiefu Chen, Joon-Ho Lee, and Qing H. Liu, “A high precision integration scheme for the spectral-element time-domain method in electromagnetic simulation,” IEEE Transactions on Antennas and Propagation, vol. 57, no. 10, pp. 3223-3231, Oct. 2009.
  84. Joon-Ho Lee, Jiefu Chen, and Qing H. Liu, “A 3-D discontinuous spectral element time-domain method for Maxwell’s equations,” IEEE Transactions on Antennas and Propagation, vol. 57, no. 9, pp. 2666-2674, Sept. 2009.
  85. Jiefu Chen, Bao Zhu, and Wanxie Zhong, “Semi-analytical dual edge element and its application to waveguide discontinuities,” Acta Physica Sinica, vol. 58, no. 2, pp. 1091-1099, Feb. 2009.
  86. Jiefu Chen, Changliang Zheng, and Wanxie Zhong, “Singular element and dual finite element analysis for electromagnetic waveguide,” Chinese Journal of Computational Mechanics, vol. 24, no. 2, pp. 148-152, Apr. 2007.
  87. Changliang Zheng and Jiefu Chen, “Symplectic finite element formulation for 3-D electromagnetic field and computation of cavity resonances,” Chinese Journal of Computational Mechanics, vol. 23, no. 3, pp. 324-327, Jun. 2006.
  88. Jiefu Chen, Changliang Zheng, and Wanxie Zhong, “Symplectic analysis and dual edge element for electromagnetic waveguide,” Acta Physica Sinica, vol. 55, no. 5, pp. 2340-2346, May 2006.
  89. Jiefu Chen, Changliang Zheng, and Wanxie Zhong, “Sub-region analysis for dual electromagnetic finite element method,” Chinese Journal of Microwave, vol. 22, no. 2, pp. 7-10, Apr. 2006.
  90. Jiefu Chen, Wanqiu Liu, and Wanxie Zhong, “Precise time integral for the Bloch equations and its application to design of radio frequency pulses,” Acta Physica Sinica, vol. 55, no. 2, pp. 884-890, Feb. 2006.
  91. Yan Sun, Changliang Zheng, Jiefu Chen, and Wanxie Zhong, “On the elimination of spurious solutions using Symplectic finite element method for electromagnetic analysis,” Journal of Dynamics and Control, vol. 2, no. 1, pp. 8-12, Mar. 2004.

Conference Papers

  1. Aamir Bader Shah, Yu Wen, Jiefu Chen, Xuqing Wu, and Xin Fu, “Safe offline-to-online multi-agent decision transformer: a safety conscious sequence modeling approach,” IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, UAE, Oct. 2024.
  2. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Segmenting hyperspectral images of methane plumes with a large machine learning model,” The SPE Annual Technical Conference and Exhibition, New Orleans, LA, USA, Sept. 2024.
  3. Yawei Su, Wenyi Hu, Jiefu Chen, and Aria Abubakar, “Data-embedded physics-informed neural network for electromagnetic wave propagation simulation: potentials and challenges,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  4. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Segmenting hyperspectral images of methane plumes with a large machine learning model,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  5. Hieu Le, Zhenhua He, Mai Le, Dhruva Chakravorty, Lisa Perez, Akhil Chilumuru, Yan Yao, and Jiefu Chen, “Insight gained from migrating a machine learning model to intelligence processing units,” ACM Practice and Experience in Advanced Research Computing Conference, Providence, RI, USA, Jul. 2024.
  6. Tauseef Ashraf, David R. Jackson, and Jiefu Chen, “CAD formulas for the circular microstrip patch antenna,” IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, Jul. 2024.
  7. Shubin Zeng, Yiqian Mao, Yueqin Huang, and Jiefu Chen,“FEBI simulation of thin wires and inhomogeneous penetrable bodies in anisotropic layered medium,” IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, Jul. 2024.
  8. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqin Huang, and Jiefu Chen, “Deep learning framework for multi-physics joint inversion and its application in the Decorah area,” IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, Jul. 2024.
  9. Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, and Jiefu Chen, “Predicting coiled-tubing drilling dynamics using transformers,” Unconventional Resources Technology Conference, Houston, TX, USA, Jun. 2024.
  10. Aamir Bader Shah, Jiefu Chen, Xuqing Wu, and Xin Fu, “A deep learning approach to predicting remaining useful life for downhole drilling sensors using synthetic data generation,” Unconventional Resources Technology Conference, Houston, TX, USA, Jun. 2024.
  11. Shubin Zeng, Yiqian Mao, Yueqin Huang, Jiefu Chen, “Simulation of thin wires and dielectric bodies in multilayered medium using FEBI,” 21st Biennial IEEE Conference on Electromagnetic Field Computatio, Jeju, Korea, Jun. 2024.
  12. Sihong Wu, Jiajia Sun, and Jiefu Chen, “Airborne electromagnetic data interpretation with deep learning-based stochastic inversion and posterior distribution clustering with application to salinization detection,” International Workshop on Gravity, Electrical, and Magnetic Methods and Their Applications, Shenzhen, China, May 2024.
  13. Tauseef Ashraf, David R. Jackson, and Jiefu Chen, “Investigation of CAD formulas for the circular microstrip patch antenna,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Apr. 2024.
  14. Mai Le, Hieu Le, Jiefu Chen, and Yan Yao, “Predicting ionic conductivity of solid-state battery cathodes using machine learning,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2024.
  15. Shubin Zeng, Yueqin Huang, Jun Zhang, and Jiefu Chen, “Feasibility study of electromagnetic telemetry system for offshore drilling,” The SPE Annual Technical Conference and Exhibition, San Antonio, TX, USA, Oct. 2023.
  16. Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, and Jiefu Chen, “Transformer-based deep learning model for accurate rate of penetration prediction in drilling,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  17. Shirui Wang, Xuqing Wu, Xuqing Wu, and Jiefu Chen, “Anti-aliasing seismic data interpolation by dip-informed self-supervised learning,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  18. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiefu Chen, and Yueqin Huang, “Deep learning enhanced joint inversion for mineral exploration using airborne geophysics: application in Decorah area,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  19. Xiaoliang Li, Chenpei Huang, Miao Pan, Xiaonan Shan, and Jiefu Chen, “An integrated wireless system for long-term and real-time subsurface CO2 monitoring,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  20. Shirui Wang, Wenyi Hu, Aria Abubakar, Xuqing Wu, Xuqing Wu, and Jiefu Chen, “Seismic data compression by variational autoencoder with hyperprior,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  21. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Microseismic sensor placement optimization for rapid leakage alarm of geologic carbon storage,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  22. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqin Huang, and Jiefu Chen, “3D joint inversion of multi-physics data using deep learning techniques,” The 35th General Assembly of the International Union of Radio Science, Sapporo, Hokkaido, Japan, Aug. 2023.
  23. Yawei Su, Shubin Zeng, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Physics-informed graph neural network for electromagnetic simulations,” The 35th General Assembly of the International Union of Radio Science, Sapporo, Hokkaido, Japan, Aug. 2023.
  24. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqin Huang, and Jiefu Chen, “Deep learning enhanced 3D joint inversion,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Portland, OR, USA, Jul. 2023.
  25. Xuqing Wu, Tushar Sood, Zheng Chen, and Jiefu Chen, “Robotic fish enabled offshore pipeline inspection,” Offshore Technology Conference, Houston, TX, USA, May 2023.
  26. Tauseef Ashraf, David R. Jackson, and Jiefu Chen, “Omnidirectionality investigation of wraparound microstrip antennas,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Apr. 2023.
  27. Shirui Wang, Yuchen Jin, Jinjun Liu, Xuqing Wu, and Jiefu Chen, “Improvement of FWI with progressive transfer learning,” Asia Petroleum Geoscience Conference & Exhibition, Kuala Lumpur, Malaysia, Nov. 2022.
  28. Shirui Wang, Jinjun Liu, Xuqing Wu, and Jiefu Chen, “Application of tomographic augmented progressive transfer learning for full waveform inversion,” EAGE Conference on Digital Innovation for a Sustainable Future, Bangkok, Thailand, Sept. 2022.
  29. Jinjun Liu, Shirui Wang, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Deep transfer learning FWI application to a real case,” The Fourth EAGE/HGS Conference on Latin America, Cartagena, Colombia, Sept. 2022.
  30. Carlos Urdaneta, Arnaud Jarrot, Shirui Wang, Xuqing Wu, and Jiefu Chen, “Deep-learning-based downhole tool electromagnetic telemetry noise attenuation and source separation,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  31. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, Shirui Wang, and Zhu Han, “Active gamma-ray well logging pattern localization with reinforcement learning,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  32. Yanyan Hu, Jiefu Chen, Xuqing Wu, and Yueqin Huang, “A flexible and versatile joint inversion framework using deep learning,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  33. Shirui Wang, Jinjun Liu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “An application of FWI with progressive transfer learning,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  34. Yuchen Jin, Chaoxian Qi, Li Yan, Yueqin Huang, Xuqing Wu, and Jiefu Chen, “A deep learning based surrogate and uncertainty quantification for fast electromagnetic modeling in complex formations,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  35. Yuan Zi, Shirui Wang, Pengyu Yuan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Self-supervised learning for seismic swell noise removal,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
  36. Yuchen Jin, Yuan Zi, Xuqing Wu, and Jiefu Chen, “An enhanced GPR FWI scheme with low-frequency data extrapolated by progressive transfer learning,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Dever, CO, USA, Jul. 2022.
  37. Yanyan Hu, Jiefu Chen, Xuqing Wu, and Yueqin Huang, “Multiphysics joint inversion using successive deep perceptual constraints,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Dever, CO, USA, Jul. 2022.
  38. Yanyan Hu, Xuqing Wu, and Jiefu Chen, “Deep perceptual loss for multi-physics joint inversion,” The 83rd EAGE Annual Conference & Exhibition, Madrid, Spain, Jun. 2022.
  39. Li Yan, Hanming Wang, and Jiefu Chen, “2D pixel based inversion of ultra-deep electromagnetic logging data for look-ahead applications,” The 43rd Progress In Electromagnetics Research Symposium, Hangzhou, China, Apr. 2022.
  40. Xiaoliang Li, Chenpei Huang, Miao Pan, Xiaonan Shan, and Jiefu Chen, “Wireless power transfer system for long-term and real-time monitoring of subsurface CO2 storage,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Apr. 2022.
  41. Chaoxian Qi, Li Yan, Yuchen Jin, Xuqing Wu, Jiefu Chen, and Yueqin Huang, “DNN enabled real-time modeling of EM LWD tool responses in complex subsurface formations,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2022.
  42. Yuchen Jin, Yuan Zi, Wenyi Hu, Yanyan Hu, Xuqing Wu, and Jiefu Chen, “Solving full waveform inversion enhanced by efficient progressive transfer learning,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2022.
  43. Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, and Yueqin Huang, “Transitional reversible-jump MCMC for subsurface characterization,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2022.
  44. Chaoxian Qi, Jiefu Chen, Neil Jerome A. Egarguin, and Daniel Onofrei, “Feasibility analysis for active manipulation of electromagnetic fields in free space ,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Singapore, Dec. 2021.
  45. Yanyan Hu, Jiefu Chen, Xuqing Wu, and Yueqin Huang, “Deep learning enhanced joint inversion of multiphysics data with nonconforming discretization,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Singapore, Dec. 2021.
  46. Chaoxian Qi, Chenpei Huang, Neil Jerome A. Egarguin, Daniel Onofrei, Miao Pan, and Jiefu Chen, “Enhanced underwater acoustic communication via active field control,” The 15th ACM International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, Nov. 2021.
  47. Chenpei Huang, Chaoxian Qi, Aijun Song, Gangbing Song, Jiefu Chen, and Miao Pan, “A low complexity aggregation method for underwater on-pipe sensor network,” The 15th ACM International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, Nov. 2021.
  48. Li Yan and Jiefu Chen, “2D simultaneous inversion for resistivity and dielectric constant using ultra-deep electromagnetic logging-while-drilling measurements,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  49. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiefu Chen, Jiuping Chen, and Yueqing Huang, “Deep learning enhanced multi-physics joint inversion,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  50. Pengyu Yuan, Shirui Wang, Wenyi Hu, Prashanth Nadukandi, German Ocampo Botero, Xuqing Wu, Jiefu Chen, and Hien Van Nguyen, “Self-supervised learning for anti-aliasing seismic data interpolation,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  51. Chaoxian Qi, Jiefu Chen, Jiuping Chen, and Yueqin Huang, “A fast integral equation method for electromagnetic modeling of the energized casings and reservoir fluids in layered formations,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  52. Shirui Wang, Wenyi Hu, Pengyu Yuan, Xuqing Wu, Qunshan Zhang, Prashanth Nadukandi, German Ocampo Botero, and Jiefu Chen, “Seismic deblending by self-supervised deep learning with blindtrace network,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  53. Yuan Zi, Wenyi Hu, Jiefu Chen, Xuqing Wu, and Zhu Han, “Physics-guided self-supervised learning for monochromatic noise removal,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  54. Yuchen Jin, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “Efficient progressive transfer learning for low frequency reflection seismic data prediction,” The International Meeting for Applied Geoscience & Energy, Denver, CO, USA, Sept. 2021.
  55. Qiyu Wan, Yuchen Jin, Xuqing Wu, Jiefu Chen, and Xin Fu, “Real-time downhole geosteering data processing using deep neural networks on FPGA,” IEEE International Conference on Industry Applications, virtual conference, Aug. 2021.
  56. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Solving time domain electromagnetic forward and inverse problems using a differentiable programming platform,” International Conference on Electromagnetics in Advanced Applications, Honolulu, Hawaii, USA, Aug. 2021.
  57. Yuchen Jin, Yuan Zi, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “A deep learning enhanced full waveform inversion scheme,” International Applied Computational Electromagnetics Society Symposium, virtual conference, Aug. 2021.
  58. Chenpei Huang, Debing Wei, Chaoxian Qi, Aijun Song, Gangbing Song, Jiefu Chen, and Miao Pan, “Reverberating stress wave channel capacity in pipe communications,” IEEE International Conference on Communications, Montreal, Quebec, Canada, Jun. 2021.
  59. Chaoxian Qi, Shubin Zeng, Xuqing Wu, Jiefu Chen, Jiuping Chen, and Yueqin Huang, “Electromagnetic modeling of thin wire with multilayered coating in layered media,” National Radio Science Meeting, virtual conference, Jan. 2021.
  60. Yanyan Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen, Jiuping Chen, Qiuyang Shen, and Yueqin Huang, “Deep learning enhanced joint geophysical inversion for crosswell monitoring,” National Radio Science Meeting, virtual conference, Jan. 2021.
  61. Xiaoliang Li , Chenpei Huang, Debing Wei, Miao Pan, Xiaonan Shan, and Jiefu Chen, “Wireless telemetry system for long-term real-time subsurface monitoring,” National Radio Science Meeting, virtual conference, Jan. 2021.
  62. Michael Bittar, Shirui Wang, Jiefu Chen, and Xuqing Wu, “Reinforced learning technique for multi-well logs depth matching yield better reservoir delineation,” Post Convention Workshop on Machine Learning and Data Analytics for Geosciences, The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  63. Shirui Wang, Wenyi Hu, Yanyan Hu, Xuqing Wu, and Jiefu Chen, “A physics-augmented deep learning method for seismic data deblending,” Post Convention Workshop on Machine Learning and Data Analytics for Geosciences, The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  64. Yuchen Jin, Yanyan Hu, Xuqing Wu, and Jiefu Chen, “RNN-based gradient prediction for solving magnetotelluric inverse problem,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  65. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Physics-guided self-supervised learning for low frequency data prediction in FWI,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  66. Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, and Jiefu Chen, “A supervised descent learning technique for inversion of directional electromagnetic logging-while-drilling data,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  67. Zhijian Zhou, Meng Zhang, and Jiefu Chen, “A new multiple magnetic targets location method in 3D space,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  68. Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, and Yueqin Huang, “Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  69. Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen, “Adaptive first arrival picking model with meta learning,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  70. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Physics-guided self-supervised learning for low frequency data prediction in FWI,” The 90th SEG Annual Meeting, virtual conference, Oct. 2020.
  71. Pengfei Wen, Qiang Ren, Aixin Chen, Yan Zhang, and Jiefu Chen, “Electromagnetic simulation of periodic structures using memory efficient DGTD method,” The 6th IEEE International Conference on Computational Electromagnetics, virtual conference, Aug. 2020.
  72. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Solving time domain electromagnetic problems using a differentiable programming platform,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  73. Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, and Yueqin Huang, “Efficient underground formation characterization using transitional Markov chain Monte Carlo sampling,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  74. Yong Wei, Chaoxian Qi, and Jiefu Chen, “Borehole water holdup detection using conical spiral transmission line,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  75. Shubin Zeng, Jiefu Chen, and Xufei Hu, “Electromagnetic fields of dipole sources in multilayered arbitrary anisotropic formation,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  76. Chaoxian Qi, David R. Jackson, and Jiefu Chen, “Near-field sensor based on SIW microstrip cavity resonator with a circular aperture,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  77. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A physics-driven deep-learning inverse solver for subsurface sensing,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  78. Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, and Yueqin Huang, “Efficient bi-fidelity gradient-based method for non-linear inverse problems,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  79. Chaoxian Qi, Debing Wei, Miao Pan, and Jiefu Chen, “Underwater wireless communication using coil-based magnetic induction,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  80. Xiaonan Shan, Xiaoliang Li, David Jackson, and Jiefu Chen, “Developing through metal wireless sensors in extreme conditions for petroleum industrial applications,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, virtual conference, May, 2020.
  81. Pan Zhang, Yanyan Hu, Yuchen Jin, Shaogui Deng, Xuqing Wu, and Jiefu Chen, “A Maxwell’s equations based deep learning method for time domain electromagnetic simulations,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, virtual conference, May, 2020.
  82. Shubin Zeng, Neil Jerome A. Egarguin, Daniel Onofrei, and Jiefu Chen, “Active control of electromagnetic waves in layered media using a current source,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, virtual conference, May, 2020.
  83. Yong Wei, Houquan Yu, Qiang Chen, Guoquan Liu, Chaoxian Qi, and Jiefu Chen, “Research on water holdup detection method and tool design using conical spiral transmission line,” The 42nd Progress In Electromagnetics Research Symposium, Xiamen, China, Dec. 2019.
  84. Shirui Wang, Qiuyang Shen, Xuqing Wu, and Jiefu Chen, “Automated formation top labeling and well depth matching by machine learning,” Rice Data Science Conference, Houston, TX, USA, Oct. 2019.
  85. Debing Wei, Chaoxian Qi, Jiefu Chen, Aijun Song, Gangbing Song, and Miao Pan, “Pipe data through the water: stress wave communications along pipelines,” The 14th ACM International Conference on Underwater Networks & Systems, Atlanta, GA, USA, Oct. 2019.
  86. Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, and Hien Van Nguyen, “First arrival picking using U-net with Lovasz loss and nearest point picking method,” The 89th SEG Annual Meeting, San Antonio, TX, USA, Sept. 2019.
  87. Shubin Zeng and Jiefu Chen, “Integral equation method for the subsurface sensing applications with wire-to-surface junction structures in layered media,” The 89th SEG Annual Meeting, San Antonio, TX, USA, Sept. 2019.
  88. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A progressive deep transfer learning approach to cycle-skipping mitigation in FWI,” The 89th SEG Annual Meeting, San Antonio, TX, USA, Sept. 2019.
  89. Qiuyang Shen, Jiefu Chen, Hanming Wang, Yueqin Huang, “Statistical Bayesian inversion of ultra-deep electromagnetic LWD data: trans-dimensional Markov chain Monte Carlo with parallel tempering,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, Jul. 2019.
  90. Shubin Zeng, Donald R. Wilton, and Jiefu Chen, “MoM analysis of conducting surface-to-wire structures in multilayered uniaxial media,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, Jul. 2019.
  91. Yuchen Jin, Xuqing Wu, Jiefu Chen, and Yueqin Huang, “Using a physics-driven deep neural network to solve inverse problems for LWD azimuthal resistivity measurements,” The 60th Annual Symposium of the Society of Petrophysicists and Well Log Analysts, The Woodlands, TX, USA, Jun. 2019.
  92. Shubin Zeng, Han Lu, Xin Fu, and Jiefu Chen, “GPU acceleration for triaxial induction logging tool responses in layered uniaixal formation,” IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Cambridge, MA, USA, May 2019.
  93. Chaoxian Qi, David R. Jackson, Yan Yao, and Jiefu Chen, “SIW microstrip cavity resonators with a sensing aperture,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Mar. 2019.
  94. Yong Wei, Houquan Yu, and Jiefu Chen, “Measurement of water holdup in oil-water two-phase flows using coplanar microstrip transmission lines,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Mar. 2019.
  95. Xunsheng Du, Yuchen Jin, Xuqing Wu, Yu Liu, Xianping Wu, Omar Awan, Joey Roth, Kwee Choong See, Nicolas Tognini, Jiefu Chen and Zhu Han, “The embedded VGG-Net video stream processing framework for real-time quantification of shaker cutting volume,” International Petroleum Technology Conference, Beijing, China, Mar. 2019.
  96. Shubin Zeng, Jiefu Chen, Bao Zhu, and Qiang Ren, “A nonlinear DG-FETD scheme based on parametric variational principle,” The 5th IEEE International Conference on Computational Electromagnetics, Shanghai, China, Mar. 2019.
  97. Xunsheng Du, Yuchen Jin, Xuqing Wu, Yu Liu, Xianping Wu, Omar Awan, Joey Roth, Kwee Choong See, Nicolas Tognini, Jiefu Chen and Zhu Han, “Deep learning model for quantifying shaker cutting volumes in real-time via video streaming,” SPE/IADC Drilling Conference and Exhibition, Hague, Netherlands, Mar. 2019.
  98. Yuchen Jin, Xuqing Wu, Jiefu Chen, and Yueqin Huang, “A physics-driven deep learning network for subsurface inversion,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2019.
  99. Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, and Yahong Rosa Zheng, “Ferrite assisted geometry-conformal magnetic induction antenna and subsea communications for AUVs,” IEEE Global Communications Conference, Abu Dhabi, UAE, Dec. 2018.
  100. Qiuyang Shen, Jiefu Chen, Xuqing Wu, Zhu Han, and Hanming Wang, “Trans-dimensional geosteering inversion: a data-driven schematic for geophysical interpretation and uncertainty quantification,” The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  101. Li Yan, Han Lu, Qiuyang Shen, Hanming Wang, Xin Fu, and Jiefu Chen, “Multilayer geosteering inversion using particle swarm optimization,” The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  102. Yuchen Jin, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “Learn low wavenumber information in FWI via deep inception based convolutional networks,” The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  103. Kuo Chun Tsai, Xuqing Wu, Jiefu Chen, Wenyi Hu, and Zhu Han, “First break automatic picking with deep semi-supervised learning neural network,” The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  104. Yuchen Jin, Xuqing Wu, Jiefu Chen, Zhu Han, and Wenyi Hu, “Seismic data denoising by deep residual networks,” The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  105. Yuchen Jin, Qiuyang Shen, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Affordable and fast geosteering inversion using a physics-driven deep learning network,” Rice Data Science Conference, Houston, TX, USA, Oct. 2018.
  106. Qiuyang Shen, Jiefu Chen, and Hanming Wang, “Systematic uncertainty analysis of reservoir image from new generation LWD azimuthal resistivity measurements,” The SPE Annual Technical Conference and Exhibition, Dallas, TX, USA, Sept. 2018.
  107. Hanming Wang, Qiuyang Shen, and Jiefu Chen, “Sensitivity study and uncertainty qualification of azimuthal propagation resistivity measurements,” The 59th Annual Symposium of the Society of Petrophysicists and Well Log Analysts, London, UK, Jun. 2018.
  108. Shubin Zeng and Jiefu Chen, “Modeling of coated thin wires in layered media for subsurface sensing and communication,” The 4th IEEE International Conference on Computational Electromagnetics, Chengdu, Sichuan, China, Mar. 2018.
  109. Jiefu Chen and Shubin Zeng, “A domain decomposition semianalytical finite element method,” The 4th IEEE International Conference on Computational Electromagnetics, Chengdu, Sichuan, China, Mar. 2018.
  110. Debing Wei, Li Yan, Xuanheng Li, Yi Sun, Dongfeng Yuan, Jiefu Chen, and Miao Pan, “Exploiting magnetic field analysis to characterize mi wireless communications in subsea environments,” International Conference on Computing, Networking and Communications, Maui, Hawaii, USA, Mar. 2018.
  111. Li Yan, Debing Wei, Miao Pan, and Jiefu Chen, “Downhole wireless communication using magnetic induction technique,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2018.
  112. Han Lu, Qiuyang Shen, Xuqing Wu, Jiefu Chen, and Xin Fu, “MCMC for large-scale geosteering inversion with a scalable MPI implementation,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2018.
  113. Shubin Zeng, Donald R. Wilton, Jiefu Chen, Jianguo Liu, and Wenyi Hu, “Fast electromagnetic modeling of energized casing for deep subsurface prospecting,” The 87th SEG Annual Meeting, Houston, TX, USA, Sept. 2017.
  114. Shubin Zeng, Fangzhou Chen, Dawei Li, Ji Chen, and Jiefu Chen, “2.5D finite difference modeling of directional electromagnetic wave propagation resistivity logging in fully anisotropic formation,” The 87th SEG Annual Meeting, Houston, TX, USA, Sept. 2017.
  115. Qiuyang Shen, Han Lu, Xuqing Wu, Xin Fu, Jiefu Chen, Zhu Han, and Yueqin Huang, “Statistical geosteering inversion by Hamiltonian dynamics Monte Carlo method,” The 87th SEG Annual Meeting, Houston, TX, USA, Sept. 2017.
  116. Shubin Zeng, Qiuzhao Dong, and Jiefu Chen, “A novel casing antenna system for crosswell electromagnetic telemetry in pad drilling,” Unconventional Resources Technology Conference, Austin, TX, USA, Jul. 2017.
  117. Shubin Zeng, Dawei Li, Donald R. Wilton, and Jiefu Chen, “Efficient simulation of electromagnetic telemetry using thin wire kernel and layered media Greens function,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul. 2017.
  118. Li Yan, Debing Wei, Miao Pan, and Jiefu Chen, “Magnetic induction for MWD telemetry system,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Mar. 2017.
  119. Qiuzhao Dong and Jiefu Chen, “A novel formation model for electromagnetic telemetry including surface and innovative casing antenna system,” The 86th SEG Annual Meeting, Dallas, TX, USA, Oct. 2016.
  120. Qiuyang Shen, Jiefu Chen, and Zhu Han, “Total variation denoising of azimuthal resistivity inversion in geosteering,” The 86th SEG Annual Meeting, Dallas, TX, USA, Oct. 2016.
  121. Shubin Zeng and Jiefu Chen, “Rapid simulation of resistivity well logging using a hybridization of semianalytical and conventional finite-element schemes,” The 86th SEG Annual Meeting, Dallas, TX, USA, Oct. 2016.
  122. Shubin Zeng, Jiefu Chen, and Jianguo Liu, “Channel characterization of drill string acoustic wireless telemetry using a novel high-precision integration algorithm,” The 86th SEG Annual Meeting, Dallas, TX, USA, Oct. 2016.
  123. Jing Wang and Jiefu Chen, “The application of complex image theory in rapid simulations of electromagnetic logging while drilling in unparallel layered formation,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Fajardo, Puerto Rico, Jun. 2016.
  124. Jiefu Chen, Carlos Haramboure, Lance Pate, Jay Martin, and Craig Barnett, “Responses and field tests from an LWD microimaging tool using discrete energy pulsing,” International Petroleum Technology Conference, Doha, Qatar, Dec. 2015.
  125. Jiefu Chen, “A fast layered finite-element method for simulations of electromagnetic telemetry,” The 85th SEG Annual Meeting, New Orleans, LA, USA, Oct. 2015.
  126. Jiefu Chen, Shanjun Li, Clayton MacMillan, German Cortes, and Drew Wood, “Long range electromagnetic telemetry using an innovative casing antenna system,” The SPE Annual Technical Conference and Exhibition, Houston, TX, USA, Sept. 2015.
  127. Jiefu Chen, “A fast layered finite element method for simulations of borehole resistivity measurements,” GEM Chengdu 2015: Gravity, Electrical and Magnetic Methods and their Applications, Chengdu, Sichuan, China, Apr. 2015.
  128. Jiefu Chen, “Simulation of subsurface wireless telemetry using a semianalytical finite element method,” The 31st International Review of Progress in Applied Computational Electromagnetics, Williamsburg, VA, USA, Mar. 2015.
  129. Jiefu Chen and Yao Yu, “An improved complex image theory for fast 3D resistivity modeling and its application to geosteering in unparallel layers,” The SPE Annual Technical Conference and Exhibition, Amsterdam, The Netherlands, Oct. 2014.
  130. Jiefu Chen, “A nested domain decomposition method for simulations of resistivity borehole micro-imaging tool,” The 31st General Assembly of the International Union of Radio Science, Beijing, China, Aug. 2014.
  131. Bao Zhu and Jiefu Chen, “Solving nonlinear Maxwell’s equations with finite-element time-domain method and parametric variational principle,” The 31st General Assembly of the International Union of Radio Science, Beijing, China, Aug. 2014.
  132. Shanjun Li, Jiefu Chen, and Tommy L. Binford, “Using new LWD measurements to evaluate formation resistivity anisotropy at any dip angle,” The 55th Annual Symposium of the Society of Petrophysicists and Well Log Analysts, Abu Dhabi, UAE, May 2014.
  133. Jiefu Chen, “An efficient discontinuous Galerkin method with domain decomposition for simulations of micro-resistivity logging-while-drilling,” The 29th International Review of Progress in Applied Computational Electromagnetics, Monterey, CA, USA, Mar. 2013.
  134. Yueqin Huang, Jianzhong Zhang, and Jiefu Chen, “Application of time-frequency domain spectral decomposition based on least-square matching pursuit to improve subsurface imaging,” The 29th International Review of Progress in Applied Computational Electromagnetics, Monterey, CA, USA, Mar. 2013.
  135. Bao Zhu, Hongwei Yang, Qing H. Liu, Wanxie Zhong, and Jiefu Chen, “A novel finite element time domain method for nonlinear Maxwell’s equations,” The 29th International Review of Progress in Applied Computational Electromagnetics, Monterey, CA, USA, Mar. 2013.
  136. Louis Tobon, Jiefu Chen, Joon-Ho Lee, Mengqing Yuan, Bo Zhao, and Qing H. Liu, “Progress in multiscale computational electromagnetics in time domain,” Workshop on Pulsed Electromagnetic Fields: Their Potentialities, Computation and Evaluation, Delft, Netherlands, Mar. 2013.
  137. Luis Tobon, Jiefu Chen, and Qing H. Liu, “Multilayer microwave filter design using a locally implicit discontinuous Galerkin finite-element time-domain (DG-FETD) method,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
  138. Jiefu Chen, Bao Zhu, Wanxie Zhong, and Qing H. Liu, “A dual vector spectral element method for waveguide analysis,” IEEE International Conference on Microwave Technology & Computational Electromagnetics, Beijing, China, May 2011.
  139. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “A hybrid finite-element / finite-difference method with implicit-explicit time stepping scheme for Maxwell’s equations,” IEEE International Conference on Microwave Technology & Computational Electromagnetics, Beijing, China, May 2011.
  140. Jiefu Chen, Luis Tobon, Mei Chai, Jason A. Mix, and Qing H. Liu, “An efficient locally implicit discontinuous Galerkin finite-element time-domain scheme based on the combination of Crank-Nicolson method and block Gauss-Seidel iteration,” The 27th International Review of Progress in Applied Computational Electromagnetics, Williamsburg, VA, USA, Mar. 2011.
  141. Luis Tobon, Jiefu Chen, and Qing H. Liu, “Dispersion analysis for mixed finite element method for Maxwell’s equations,” The 27th International Review of Progress in Applied Computational Electromagnetics, Williamsburg, VA, USA, Mar. 2011.
  142. Jiefu Chen and Qing H. Liu, “A hybrid spectral-element / finite-element method with the implicit-explicit Runge-Kutta scheme for multiscale computation,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Toronto, Canada, Jul. 2010.
  143. Qing H. Liu, Jiefu Chen, Tian Xiao, Joon-Ho Lee, and Mengqing Yuan, “Discontinuous Galerkin time domain method for multiscale microelectronic packaging,” Progress in Electromagnetics Research Symposium, Cambridge, MA, USA, Jul. 2010.
  144. Changliang Zheng, Yan Sun, Jiefu Chen, and Wanxie Zhong, “On the elimination of spurious solutions in the electromagnetic analysis using Symplectic finite elements,” The 6th World Congress on Computational Mechanics, Beijing, China, Sept. 2004.

Conference Abstracts and Posters

  1. Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin M. Comer, Xuqing Wu, Stefan J. Raaijman, Nishant K. Sinha, Sajanikumari Sadasivan, Shibin Thundiyil, Kuldeep B. Mamtani, Ganesh Iyer, Lars Grabow, Ligang Lu, and Jiefu Chen, “Rational design of nanoscale stabilized oxide catalysts for the oxygen evolution reaction with OC22,” American Institute of Chemical Engineers Annual Meeting, San Diego, CA, USA, Oct. 2024.
  2. Sihong Wu, Jiajia Sun, and Jiefu Chen, “Stochastic inversion of frequency-domain airborne electromagnetic data based on deep learning,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  3. Shubin Zeng, Yueqin Huang, and Jiefu Chen, “Integral equation analysis of the electromagnetic response of steel casings in a full anisotropic layered earth,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  4. Shubin Zeng, Yiqian Mao, Yueqin Huang, and Jiefu Chenr, “FEBI simulation of co2 storage monitoring using well-casing electromagnetics source ,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  5. Yawei Su, George Bittar, Sihong Wu, Jiajia Sun, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Fast inversion and uncertainty quantification of electromagnetic well logging data using invertible neural network,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2024.
  6. Shubin Zeng, Yueqin Huang, and Jiefu Chen, “Fast simulation of thin-wire structure in fully anisotropic multilayered media,” IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, Jul. 2024.
  7. Yuan Zi, Lei Fan, Xuqing Wu, Jiefu Chen, and Zhu Han, “Segmenting hyperspectral images of methane plumes with a large machine learning model,” Net-Zero Emissions Workshop, virtual workshop, Jun. 2024.
  8. Yawei Su, Yuchen Jin, Xuqing Wu, Jiefu Chen, and Yueqin Huang “Deep learning enhanced GPR full waveform inversion,” Summit on Geophysical Detection of Explosive Remnants of War: Solving Current Challenges of Unexploded Ordnance and Demining, virtual workshop, Apr. 2024.
  9. Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin M. Comer, Xuqing Wu, Stefan J. Raaijman, Nishant K. Sinha, Sajanikumari Sadasivan, Shibin Thundiyil, Kuldeep B. Mamtani, Ganesh Iyer, Hakan Demir, Lars Grabow, Ligang Lu, and Jiefu Chen, “High-throughput screening frameworks with the Open Catalyst Project,” Southwest Catalysis Spring Symposium, Houston, TX, USA, Apr. 2024.
  10. Trey Barker, Xiaonan Shan, and Jiefu Chen, “Microwave-plasma assisted methane pyrolysis for zero-emission hydrogen production,” The Gulf Coast Hydrogen Ecosystem: Opportunities and Solutions, University of Houston Energy Symposium Series, Houston, TX, USA, Apr. 2024.
  11. Xiaoliang Li, Xiaonan Shan, and Jiefu Chen, “Novel wireless communication and power transfer system for long term monitorning of H2 storage and CO2 sequestration,” The Gulf Coast Hydrogen Ecosystem: Opportunities and Solutions, University of Houston Energy Symposium Series, Houston, TX, USA, Apr. 2024.
  12. Nandakishore Ravi, Utkarsh Gupta, Xiaonan Shan, Jiefu Chen, and Lars Grabow, “Toward AI guided automatic catalyst screening for hydrogen production,” The Gulf Coast Hydrogen Ecosystem: Opportunities and Solutions, University of Houston Energy Symposium Series, Houston, TX, USA, Apr. 2024.
  13. Yuanze Chen, Utkarsh Gupta, Xiaonan Shan, Jiefu Chen, and Xuqing Wu, “A mobile platform for multi-modal detection and monitoring of hydrogen and methane leak,” The Gulf Coast Hydrogen Ecosystem: Opportunities and Solutions, University of Houston Energy Symposium Series, Houston, TX, USA, Apr. 2024.
  14. Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin M. Comer, Xuqing Wu, Stefan J. Raaijman, Nishant K. Sinha, Shibin Thundiyil, Ganesh Iyer, Lars Grabow, Ligang Lu, and Jiefu Chen, “Rational design of nanoscale stabilized oxide catalysts for OER with OC22,” The Gulf Coast Hydrogen Ecosystem: Opportunities and Solutions, University of Houston Energy Symposium Series, Houston, TX, USA, Apr. 2024.
  15. Jiefu Chen, “A deep learning enhanced multiphysics framework for subsurface characterization,” Protege Poster Challenge, The TAMEST Annual Conference: Artificial Intelligence and Machine Learning, Austin, TX, USA, Feb. 2024.
  16. Yanyan Hu, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Deep learning enhanced joint inversion for multiple-physics data,” Post Convention Workshop on Energy Transition: How to Use Multidiscipline and Multiphysics to Power Energy Transition, The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2023.
  17. Richard Tran, Liqiang Huang, Yuan Zi, Shengguang Wang, Benjamin Comer, Xuqing Wu, Lars Grabow, Ligang Lu, and Jiefu Chen, “Machine learning assisted screening of oxide catalysts for OER,” ACS Fall: Harnessing the Power of Data, San Francisco, CA, USA, Aug. 2023.
  18. Shubin Zeng, Yawei Su, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Physics-informed graph neural network for computational electromagnetism,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Portland, OR, USA, Jul. 2023.
  19. Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiefu Chen, and Yueqin Huang, “Efficient 3D joint inversion enhanced by deep learning techniques,” The 44th Progress In Electromagnetics Research Symposium, Prague, Czech Republic, Jul. 2023.
  20. Jiefu Chen, Yanyan Hu, Xuqing Wu, Yueqin Huang, “Deep learning enhanced geophysical inversion schemes,” 5th Annual Meeting of the SIAM Texas-Louisiana Section, Houston, TX, USA, Nov. 2022.
  21. Chaoxian Qi, Neil Jerome A. Egarguin, Daniel Onofrei, and Jiefu Chen, “Active control of electromagnetic fields in layered media,” 5th Annual Meeting of the SIAM Texas-Louisiana Section, Houston, TX, USA, Nov. 2022.
  22. Jinjun Liu, Shirui Wang, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “Improvement of FWI with progressive transfer learning,” Asia Petroleum Geoscience Conference & Exhibition, Kuala Lumpur, Malaysia, Nov. 2022.
  23. Mohammad Khalil, Uma Balakrishnan, Reese Jones, Cosmin Safta, Jiefu Chen, Xuqing Wu, and Yueqin Huang, “Enhancing polynomial chaos expansion based surrogate modeling through probabilistic transfer learning,” SIAM Conference on Mathematics of Data Science, San Diego, CA, USA, Sept. 2022.
  24. Chaoxian Qi, Lander Besabe, Tauseef Ashraf, Daniel Onofrei, and Jiefu Chen, “Active localization of radiated fields in the presence of obstacles,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Denver, CO, USA, Jul. 2022.
  25. Tauseef Ashraf, David R. Jackson, and Jiefu Chen, “Omnidirectionality investigation of wraparound microstrip antennas,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Denver, CO, USA, Jul. 2022.
  26. Chaoxian Qi, Donald R. Wilton, and Jiefu Chen, “Efficient electromagnetic modeling of the subsurface reservoirs using a modified PMCHWT scheme at low frequencies,” URSI Atlantic/Asia-Pacific Radio Science Meeting, Gran Canaria, Spain, May 2022.
  27. Yuchen Jin, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “An enhanced FWI scheme using machine learned low frequency signals,” URSI Atlantic/Asia-Pacific Radio Science Meeting, Gran Canaria, Spain, May 2022.
  28. Yanyan Hu, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Deep learning enhanced multiphysics joint inversion,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, May 2022.
  29. Yuchen Jin, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “An efficient self-supervised learning approach for enhancing the undetermined inversion of multi-frequency data,” The 43rd Progress In Electromagnetics Research Symposium, Hangzhou, China, Apr. 2022.
  30. Chaoxian Qi, Donald R. Wilton, and Jiefu Chen, “Efficient electromagnetic modeling for characterizing hydraulic fractures using coated energized casing,” The 43rd Progress In Electromagnetics Research Symposium, Hangzhou, China, Apr. 2022.
  31. Tauseef Ashraf, David R. Jackson, and Jiefu Chen, “Omnidirectionality investigation of wraparound microstrip antennas,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Apr. 2022.
  32. Yanyan Hu, Xuqing Wu, and Jiefu Chen, “Deep learning enhanced joint framework for monitoring CO2 storage,” AAPG Carbon Capture, Utilization, and Storage (CCUS) Conference, Houston, TX, USA, Mar. 2022.
  33. Yuchen Jin, Yuan Zi, Wenyi Hu, Xuqing Wu, and Jiefu Chen, “An efficient progressive transfer learning for low-frequency data prediction in subsurface imaging,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Singapore, Dec. 2021.
  34. Chaoxian Qi, Donald R. Wilton, and Jiefu Chen, “A modified PMCHWT scheme for subsurface reservoir characterization using low frequency electromagnetics,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Singapore, Dec. 2021.
  35. Xuqing Wu, Yuchen Jin, Chenpei Huang, Miao Pan, and Jiefu Chen, “Deep learning based blind deconvolution for geophysical data processing,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Singapore, Dec. 2021.
  36. Li Yan and Jiefu Chen, “New progress in 2D pixel-based inversion for ultra-deep electromagnetic logging data,” SPWLA Resistivity SIG Meeting, virtual conference, Oct. 2021.
  37. Xiaoliang Li, Xiaonan Shan, Miao Pan, and Jiefu Chen, “Wireless Telemetry System for Monitoring of Subsurface CO2 Storage,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, virtual conference, May 2021.
  38. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A robust self-supervised learning system for low frequency seismic data extrapolation to reduce model building uncertainty,” EAGE Workshop on Quantifying Uncertainty in Depth Imaging, virtual conference, April. 2021.
  39. Wenyi Hu, Shirui Wang, Xuqing Wu, and Jiefu Chen, “A model-driven deep learning approach to seismic data deblending,” International Petroleum Technology Conference, virtual conference, Mar. 2021.
  40. Shubin Zeng, Han Lu, Xin Fu, and Jiefu Chen, “High performance modeling of electromagnetic fields in multilayered formations for subsurface sensing and communication,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  41. Shubin Zeng, Daniel Onofrei, and Jiefu Chen, “Active manipulation of exterior electromagnetic waves in multilayered media using surface sources,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, Jul. 2020.
  42. Chaoxian Qi, Daniel Onofrei, and Jiefu Chen, “Active manipulation of helmholtz scalar fields in layered ocean,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, virtual conference, May 2020.
  43. Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubaker, Jiefu Chen, “Fast inversion of directional resistivity logging-while-drilling data using supervised descent method,” Rice Oil & Gas HPC Conference, Houston, TX, USA, Mar. 2020.
  44. Shubin Zeng, Han Lu, Xin Fu, Jiefu Chen, and Yueqin Huang, “GPU accelerated modeling of triaxial induction resistivity logging and electromagnetic telemetry in multilayered formation,” Rice Oil & Gas HPC Conference, Houston, TX, USA, Mar. 2020.
  45. Yanyan Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A PDE-based deep learning scheme for time domain electromagnetic simulations,” The 42nd Progress In Electromagnetics Research Symposium, Xiamen, China, Dec. 2019.
  46. Jiefu Chen, Shubin Zeng, Han Lu, and Xin Fu, “GPU accelerated electromagnetic modeling in stratified formations for subsurface sensing and communication,” The 42nd Progress In Electromagnetics Research Symposium, Xiamen, China, Dec. 2019
  47. Pengfei Wen, Qiang Ren, and Jiefu Chen, “The memory efficient discontinuous Galerkin finite-element time-domain scheme for periodic/aperiodic structures,” The 42nd Progress In Electromagnetics Research Symposium, Xiamen, China, Dec. 2019.
  48. Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, and Hien Van Nguyen, “First arrival picking using U-net with Lovasz loss and nearest point picking method,” Rice Data Science Conference, Houston, TX, USA, Oct. 2019.
  49. Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Jiefu Chen, Maokun Li, and Aria Abubakar, “A supervised descent learning technique for solving well logging inverse problems,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, Oct. 2019.
  50. Shubin Zeng, Donald R. Wilton, and Jiefu Chen, “Fast modeling of imperfectly conducting wire/surface structures in layered uniaxial media,” International Conference on Electromagnetics in Advanced Applications, Granada, Spain, Sept. 2019.
  51. Yuchen Jin, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “A physics-driven deep neural network for inversion of electromagnetic logging in subsurface sensing and borehole characterization,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, Jul. 2019.
  52. Qiang Ren, Bao Zhu, and Jiefu Chen, “DGTD using parametric variational principle for nonlinear electromagnetic simulations,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, Jul. 2019.
  53. Shubin Zeng, Donald R. Wilton, and Jiefu Chen, “Efficient modeling of thin sheet in multilayered uniaxial media,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, Jul. 2019.
  54. Qiuyang Shen, Hanming Wang, Yueqin Huang, and Jiefu Chen, “Using trans-dimensional Markov chain Monte Carlo method with parallel tempering technique for inversion of ultra-deep directional resistivity logging-while-drilling data,” IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Cambridge, MA, USA, May 2019.
  55. Shubin Zeng, Donald R. Wilton, David R. Jackson, and Jiefu Chen, “Numerical evaluation of singular and near-singular potential integrals in layered uniaxial media,” IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Cambridge, MA, USA, May 2019.
  56. Chaoxian Qi, David R. Jackson, Yan Yao, and Jiefu Chen, “SIW microstrip cavity resonators with a sensing aperture,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Mar. 2019 (student poster competition 3rd place award).
  57. Han Lu, Qiuyang Shen, Xuqing Wu, Jiefu Chen, and Xin Fu, “Parallel large-scale earth model interpretation of ultra-Deep directional EM measurement,” Rice Oil & Gas HPC Conference, Houston, TX, USA, Mar. 2019.
  58. Chaoxian Qi, David R. Jackson, Yan Yao, and Jiefu Chen, “SIW microstrip cavity resonators with a sensing aperture,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2019.
  59. Yuchen Jin, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “A physics-driven deep learning network for inversion of directional resistivity measurements,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, Nov. 2018.
  60. Wenyi Hu, Yuchen Jin, Xuqing Wu, and Jiefu Chen, “A deep learning approach to cycle-skipping mitigation in FWI,” Post Convention Workshop on Machine Learning and Data Analytics for Geosciences, The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018.
  61. Yuchen Jin, Qiuyang Shen, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Nonparametric machine learning and inverse problems for geosteering applications,” Post Convention Workshop on Machine Learning and Data Analytics for Geosciences, The 88th SEG Annual Meeting, Anaheim, CA, USA, Oct. 2018
  62. Qiuyang Shen and Jiefu Chen, “Interpretation of ultra-deep azimuthal propagation resistivity measurements: data-driven trans-dimensional inversion and uncertainty quantification,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, Apr. 2018.
  63. Qiuyang Shen, Hanming Wang, Han Lu, and Jiefu Chen, “Interpretation of ultra-deep azimuthal propagation resistivity measurements: stochastic inversion, data analytics, and uncertainty quantification,” SPWLA 2018 Spring Topical Conference on Petrophysical Data-Driven Analytics: Theory and Applications, Houston, TX, USA, Apr. 2018.
  64. Shubin Zeng and Jiefu Chen, “Modeling of coated thin wire in layered media and its applications in electromagnetic telemetry system,” IEEE Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, USA, Apr. 2018.
  65. Miao Pan, Jiefu Chen, Gangbing Song, and Aijun Song , “Subsea stress wave wireless communications and subsea hybrid wireless networks,” NSF Workshop on Underwater Wireless Communications and Networking, Arlington, Virginia, USA, Mar. 2018.
  66. Qiuyang Shen, Zhu Han, and Jiefu Chen, “Subsurface characterization uncertainty quantification: Monte Carlo with collocation method and Bayesian inference method,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2018.
  67. Li Yan, Debing Wei, Miao Pan, and Jiefu Chen, “High speed borehole telemetry system using magnetic induction,” International Applied Computational Electromagnetics Society Symposium, Suzhou, Jiangsu, China, Aug. 2017.
  68. Qiuyang Shen, Xuqing Wu, Zhu Han, and Jiefu Chen, “Quasi-Newton MCMC for solving geosteering inverse problems,” International Applied Computational Electromagnetics Society Symposium, Suzhou, Jiangsu, China, Aug. 2017.
  69. Shubin Zeng, Fangzhou Chen, Dawei Li, Ji Chen, and Jiefu Chen, “2.5D finite difference modeling of azimuthal resistivity logging in fully anisotropic formation,” International Applied Computational Electromagnetics Society Symposium, Suzhou, Jiangsu, China, Aug. 2017.
  70. Qiuyang Shen, Xuqing Wu, Jiefu Chen, Yueqin Huang, and Zhu Han, “Solving subsurface inverse problem on the MapReduce platform: a Langevin dynamics approach for geosteering inversion,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul. 2017.
  71. Jiefu Chen and Ji Chen, “Geosteering benchmark models for standardization of directional electromagnetic logging-while-drilling,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul. 2017.
  72. Qiuyang Shen, Xuqing Wu, Yueqin Huang, Jiefu Chen, and Zhu Han, “Stochastic geosteering inversions by hybrid Monte Carlo method,” SPE Gulf Coast Section Emerging Engineers Symposium, Spring, TX, USA, Jun. 2017.
  73. Shubin Zeng, Dawei Li, Donald R. Wilton, and Jiefu Chen, “Fast simulation of measurement-while-drilling electromagnetic telemetry using thin wire kernel and layered medium Green’s function,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2017.
  74. Jiefu Chen, “An efficient semianalytical finite element scheme developed in the Hamiltonian system and its applications in well logging,” The 37th Progress In Electromagnetics Research Symposium, Shanghai, China, Aug. 2016.
  75. Qiuzhao Dong, German Cortes, Marc Lahitte, Darwin Luna, and Jiefu Chen, “A novel downhole antenna for measurement-while-drilling electromagnetic telemetry,” The 37th Progress In Electromagnetics Research Symposium, Shanghai, China, Aug. 2016.
  76. Dawei Li, Fangzhou Chen, Jiefu Chen, and Ji Chen, “2.5D spectral finite-difference method for geophysical applications,” The 37th Progress In Electromagnetics Research Symposium, Shanghai, China, Aug. 2016.
  77. Bao Zhu and Jiefu Chen, “A novel DG-FETD scheme based on parametric variational principle for nonlinear and multiscale electromagnetic simulations,” The 37th Progress In Electromagnetics Research Symposium, Shanghai, China, Aug. 2016.
  78. Jiefu Chen and Shubin Zeng, “A hybrid FEM/semianalytical-FEM scheme for multiscale simulations of borehole electromagnetics and acoustics,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Fajardo, Puerto Rico, Jun. 2016.
  79. Bao Zhu and Jiefu Chen, “A parametric variational principle based DG-FETD scheme for nonlinear electromagnetics,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Fajardo, Puerto Rico, Jun. 2016.
  80. Jiefu Chen, “An efficient finite element scheme for simulating subsurface wireless telemetry in well logging applications,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2016.
  81. Jiefu Chen, “A fast layered finite element method and some of its oilfield applications,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, Oct. 2014.
  82. Jiefu Chen, “An efficient domain decomposition method for simulations of micro-resistivity imaging-while-drilling,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, Apr. 2013.
  83. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “Hybrid FETD/FDTD techniques based on the discontinuous Galerkin method,” 11th International Workshop on Finite Elements for Microwave Engineering, Estes Park, CO, USA, Jun. 2012.
  84. Jiefu Chen, Carlos Haramboure, Lance Pate, Shawn Wallace, Jay Martin, Medhat Mickael, and Macmillan M. Wisler, “An efficient discontinuous Galerkin finite-element time-domain method and its application to micro-resistivity imager,” 11th International Workshop on Finite Elements for Microwave Engineering, Estes Park, CO, USA, Jun. 2012.
  85. Jiefu Chen, Luis Tobon, and Qing H. Liu, “An implicit discontinuous Galerkin finite-element time-domain method with block Thomas algorithm for layered electrically small structures,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
  86. Jiefu Chen, Luis Tobon, and Qing H. Liu, “Hamiltonian analysis of wave ports and its application in transient simulations in electronic packages,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
  87. Jiefu Chen, Luis Tobon, and Qing H. Liu, “A memory-efficient discontinuous Galerkin finite-element time-domain method for finite periodic structures,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
  88. Luis Tobon, Jiefu Chen, and Qing H. Liu, “Modal analysis of spectral element method based on Rayleigh quotient,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
  89. Jiefu Chen, Yueqin Huang, and Qing H. Liu, “A time-parallel high precision integration scheme for wideband electromagnetic analysis,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Toronto, Canada, Jul. 2010.
  90. Jiefu Chen, Jason A. Mix, Mei Chai, and Qing H. Liu, “An adaptive localized time stepping scheme for discontinuous Galerkin finite element time domain method,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Toronto, Canada, Jul. 2010
  91. Yueqin Huang, Jiefu Chen, Jianzhong Zhang, and Qing H. Liu, “A parallel high precision integration scheme with spectral element method for transient electromagnetic computation,” The 14th IEEE Conference on Electromagnetic Field Computation, Chicago, IL, USA, May 2010.
  92. Jiefu Chen, Qing H. Liu, Mei Chai, and Jason A. Mix, “Analysis of spurious modes in mixed finite element method for Maxwell’s equations,” The 14th IEEE Conference on Electromagnetic Field Computation, Chicago, IL, USA, May 2010.
  93. Bao Zhu, Jiefu Chen, Wanxie Zhong, and Qing H. Liu, “A quasi non-overlapping hybrid finite-element / finite-difference time-domain technique,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, USA, Jun. 2009.
  94. Jiefu Chen, Joon-Ho Lee, and Qing H. Liu, “A non-spurious vector spectral element method for Maxwell’s equations,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, USA, Jun. 2009.
  95. Jiefu Chen, Bao Zhu, Wanxie Zhong, and Qing H. Liu, “A semi-analytical FEM with PML for the analysis of discontinuities in open waveguide-like structures,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, USA, Jun. 2009.
  96. Jiefu Chen, Mei Chai, Jason A. Mix, and Qing H. Liu, “A non-spurious 3D discontinuous Galerkin finite-element time-domain method,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, USA, Jun. 2009.
  97. Jiefu Chen, Bao Zhu, Wanxie Zhong, and Qing H. Liu, “A semi-analytical vector spectral element method and its application to waveguide discontinuity problems,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2009.
  98. Jiefu Chen, Joon-Ho Lee, and Qing H. Liu, “A novel time integration scheme with high precision for spectral- element time-domain method in electromagnetic simulation,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul. 2008.
  99. Jiefu Chen, Mei Chai, Jason A. Mix, and Qing H. Liu, “High-order full vector FEM and its application in analyzing printed circuit board with microstrips and striplines,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, San Diego, CA, USA, Jul. 2008.
  100. Jiefu Chen, Joon-Ho Lee, and Qing H. Liu, “A symplectic Runge-Kutta scheme for spectral-element time-domain method in electromagnetic simulation,” National Radio Science Meeting, Boulder, CO, USA, Jan. 2008.