Faculty

Yueqin Huang, Ph.D.

Assistant Professor

Office Sugar Land Campus, Brazos Hall (BH2), Room 310

Phone 713-743-9812

Fax 713-743-4032

Email yhuang64 [at] central.uh.edu

Education

Xiamen University, Ph.D., Communication and Information System, 2011
Jimei University, B.E., Communication Engineering, 2005

Professional Experience

RESEARCH EXPERIENCE

University of Houston, Assistant Professor, Information Science Technology 2023 -
University of Houston, Research Assistant Professor, Information Science Technology 2019 - 2023
Xiamen University, Assistant Professor, Electronic Science and Technology 2011 - 2012
Duke University, Visiting Scholar, Electrical and Computer Engineering 2008 - 2010
Xiamen University, Research Assistant, Communication and Information System 2005 - 2008

INDUSTRIAL EXPERIENCE

Cyentech Consulting LLC, Founder and Chief Scientist 2015 - 2023
DownUnder Geosolution LLC, Geophysicist 2016 - 2018

Professional Service & Affiliations

Advisor of Women in Cyber Security at University of Houston (WiCys UH), Fall 2023
Committee Chair of Department Research Seminar, Fall 2023
Technical review of IEEE Geoscience and Remote Sensing Letters, IEEE Journal on Multiscale and Multiphysics Computational Techniques, IEEE Transactions on Circuits and Systems, IEEE Access

Classes

University of Houston, Instructor: CIS 1332 Introduction to Information Technology Fall 2023
Xiamen University, Instructor: Signal Detection and Estimation Spring 2012

Research Interests

Research interests include: data processing and analysis, machine learning, subsurface imaging, high performance computing, inversion and their applications for new energy explorations and medical imaging.

PUBLICATIONS: BOOKS AND BOOK CHAPTERS

Books

Qiuyang Shen, Jiefu Chen, Xuqing Wu, Yueqin Huang, and Zhu Han, “Statistical Inversion of Electromagnetic Logging Data,” Springer, 2020, DOI: 10.1007/978-3-030-57097-2.
Jiefu Chen, Shubin Zeng, and Yueqin Huang, “Borehole Electromagnetic Telemetry System: Theory, Modeling, and Applications,” Springer, 2019, DOI: 10.1007/978-3-030-21537-8.

Book Chapters

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, DOI: 10.1007/978-3-319-53817-4 7.

PUBLICATIONS: JOURNAL PAPERS

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, pp. 1-13, 2023.
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.
Han Lu, Qiuyang Shen, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, and Yueqin 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.
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 resis- tivity measurements,” Journal of Petroleum Science and Engineering, vol. 188, 106961, May 2020.
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.
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.
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.
Jianzhong Zhang, Yueqin Huang, “GPR imaging method based on the phase shift migration and the least-square matching pursuits,” Chinese Journal of Radio Science, vol. 4, pp. 152-160, 2012.
Yueqin Huang, Jianzhong Zhang and Qing Huo Liu, “3D GPR ray tracing based on wavefront expansion with irregular cells,” IEEE transactions on Geoscience and Remote Sensing, vol. 49(2), pp. 679-687, 2011.
Jianzhong Zhang, Yueqin Huang, Linping Song and Qing Huo Liu, “Fast and accurate 3D ray tracing using bilinear traveltime interpolation and the wavefront group marching,” Geophysical Journal International, vol. 184, pp. 1327-1340, 2011.
Yueqin Huang, Yanhui Liu, Qing Huo Liu and Jianzhong Zhang, “Improved 3-D GPR Detection by NUFFT combined with MPD method,” Progress in Electromagnetics Research, vol. 103, pp. 185-199, 2010.
Yueqin Huang and Jianzhong Zhang, “A high accuracy numerical algorithm for wavefront times computation in 3-D complex media,” J. Southwest Petroleum University, vol. 32(2), pp. 13-18, 2010.
Yueqin Huang and Jianzhong Zhang, “A sound ray tracing algorithm in three-dimensional hetero- geneous media based on wavefront traveltimes interpolation,” J. Chinese Journal of Acoustics, vol. 27(3), pp. 261-271, 2008.
Yueqin Huang and Jianzhong Zhang, “A three-dimensional sound ray tracing algorithm based on wavefront traveltimes interpolation,” Acta Acustica, vol. 33(1), pp. 21-27, 2008.

PUBLICATIONS: CONFERENCE PAPERS

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.
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 forma- tions,” The International Meeting for Applied Geoscience & Energy, Houston, TX, USA, Aug. 2022.
Yanyan Hu, Jiefu Chen, Xuqing Wu, and Yueqin Huang, “Multiphysics joint inversion using succes- sive deep perceptual constraints ,” IEEE International Symposium on Antennas and Propagation and USNC/URSI Radio Science Meeting, Dever, CO, USA, July 2022.
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.
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 Meet- ing, Boulder, CO, USA, Jan. 2022.
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.
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 Geo- science & Energy, Denver, CO, USA, Sept. 2021.
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.
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.
Chaoxian Qi, Shubin Zeng, , Xuqing Wu, Jiefu Chen, Jiuping Chen, and Yueqin Huang, “Electro- magnetic modeling of thin wire with multilayered coating in layered media,” National Radio Science Meeting, virtual conference, Jan. 2021.
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.
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 sam- pling,” IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, July 2020.
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 Sym- posium on Antennas and Propagation and North American Radio Science Meeting, virtual conference, July 2020.
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 temper- ing,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Atlanta, GA, USA, July 2019.
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, June 2019.
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.
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.
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.
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.

PUBLICATIONS: CONFERENCE ABSTRACTS AND POSTERS

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.
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.
Yanyan Hu, Xuqing Wu, Yueqin Huang, and Jiefu Chen, “Deep learning enhanced multiphysics joint inversion,” SPWLA Resistivity SIG Meeting, Houston, TX, USA, May 2022.
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.
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, July 2019.
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 Electro- magnetic and Multiphysics Modeling and Optimization, Cambridge, MA, USA, May 2019.
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.
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.
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, July 2017.
Qiuyang Shen, Xuqing Wu, Yueqin Huang, Jiefu Chen, Zhu Han, “Stochastic geosteering inversions by hybrid Monte Carlo method,” SPE Gulf Coast Section Emerging Engineers Symposium, Spring, TX, USA, June 2017.
Yueqin Huang, Jianzhong Zhang and Qing Huo Liu, “A bilinear algorithm for three-dimensional GPR forward scatting based on wideband diagonal tensor approximation,” IEEE International Sym- posium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, WA, USA, Jul. 2011.
Yueqin Huang, Jianzhong Zhang and Qing Huo Liu, “Modified diagonal tensor approximation al- gorithm for three-dimensional GPR forward scattering,” Progress In Electromagnetics Research Sym- posium, Suzhou, China, Sept. 2011.
Yueqin Huang, Jianzhong Zhang and Qing Huo Liu, “Fast three-dimensional GPR backward scat- tering based on wideband diagonal tensor approximation,” Progress In Electromagnetics Research Symposium, Suzhou, China, Sept. 2011.
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, July 2010.
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.
Yueqin Huang, Qing H. Liu and Jianzhong Zhang, “Fast three dimensional GPR forward and inverse scattering based on wideband diagonal tensor approximation,” The 14th IEEE Conference on Electromagnetic Field Computation, Chicago, IL, USA, May 2010.
Yueqin Huang, Jianzhong Zhang and Qing Huo Liu, “Three-dimensional ray tracing algorithm for GPR application based on bilinear travel-time interpolation with irregular cells,” IEEE Interna- tional Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, USA, June 2009.