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个人信息
Personal Information
  • 教师姓名： 高照奇
  • 电子邮箱：
  • 所在单位： 信息与通信工程学院
  • 学历： 硕博连读
  • 办公地点： 西一楼614室（兴庆校区）、泓理楼4-7198（创新港）
  • 性别： 男
  • 联系方式：
  • 学位： 博士
  • 职称： 教授
  • 博士生导师： 是
  • 硕士生导师： 是
  • 学科： 信号与信息处理

其他联系方式
Other contact details

邮箱：

Welcome

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基本信息

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高照奇，教授，博士生导师，国家级青年人才，国家基金委优青项目、深地国家科技重大专项课题、国家重点研发计划课题负责人，国家“博士后创新人才支持计划”获得者，西安交通大学“青年拔尖人才支持计划A类”入选者，西安交通大学“十大学术新人”，西安交大-东方物探数学与油气智能探测技术研究中心副主任。


联系方式

Email：zq_gao@xjtu.edu.cn

信息与通信工程学院

海洋油气勘探国家工程研究中心

西安交大-东方物探数学与油气智能探测技术研究中心

深地探测科学研究中心

电子与信息工程学部

西安交通大学，710049

办公室：西一楼614室（兴庆校区）、泓理楼4-7198（创新港）

获奖情况

 获奖情况（时间倒序）

  • 2024年，获中国石油和化学工业联合会技术发明二等奖

  • 2021年，获西安交通大学第七届“十大学术新人”荣誉称号

  • 2017年，获得“博士后创新人才支持计划”资助 （该计划为中华人民共和国人力资源和社会保障部、全国博士后管委会所设立的一项青年拔尖人才支持计划）；

  • 2017年，获得第四届“徐宗本应用数学论文奖”一等奖；

研究领域

研究领域：基于阵列波动信号的复杂介质感知与成像

以阵列波动信号为核心信息载体，围绕复杂介质中波场传播机理不清、观测数据不完备、参数反演不稳定、多场景泛化能力不足等关键问题，发展融合波动方程建模、全波形反演、信号处理、人工智能与大模型智能体的复杂介质感知与成像理论方法。研究目标是从多源、多通道、多模态波动观测数据中提取介质内部结构和物性信息，形成面向地下资源探测、超声医学成像、智能体辅助反演和主动感知决策的一体化技术体系。

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主要任职

  • 担任中国地球物理学会青年工作委员会 委员；

  • 担任中国力学学会第十一届地球动力学专业委员会 委员；

  • 担任国家基金委项目评审专家；

  • 担任《IEEE Transcations on Geoscience and Remote Sensing (TGRS)》、《IEEE Geoscience and Remote Sensing Letters (GRSL)》、《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) 》、《IEEE Access》等国际SCI期刊的审稿人。

招生信息

热烈欢迎致力于在人工智能，波动成像、智能信号处理等相关方向开展创新性研究的学子报考! 

 

团队有硕博士招生指标，欢迎2027级考研学生联系咨询！

 

实验室为研究生提供以下条件：

1：远高于学校基本标准的助研金；

2：参与项目的同学每月除助研金外，还有项目奖励，多劳多得；

3：提供超算平台，供研究生开展工作；

4：鼓励研究生出国参加学术会议。

 

联系方式：

zq_gao@xjtu.edu.cn

 

学术论文

论文列表详见：

https://scholar.google.com/citations?hl=en&user=Xge9eOIAAAAJ&view_op=list_works

 

部分已发表论文（按时间倒序排列）：

 

  1. Gao, Z., Wang, K., Wang, Z. and Gao, J., 2024. Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search. IEEE Transactions on Geoscience and Remote Sensing. 【最有学术影响力期刊】
  2. Wang, Q., Wang, Z., Gao, D., Gao, Z., Jia, J., Zhu, J. and Gao, J., 2024. Seismic attribute analysis with a combination of convolutional autoencoder and random forest in a turbidite reservoir. Geophysics, 89(1), pp.WA207-WA217. 【最有学术影响力期刊】
  3. Wang, Z., Zhang, B., Gao, Z. and Gao, J., 2023. Seismic swarm intelligence inversion with sparse probability distribution of reflectivity. Artificial Intelligence in Geosciences, 4, pp.1-8.
  4. Li, C., Jia, S., Li, Z., Gao, Z., Li, F., Zhao, L. and Gao, J., 2023. Diffraction Separation and Least-Squares Imaging Based on Multiscale and Multidirectional Wavefield and Image Decomposition. IEEE Transactions on Geoscience and Remote Sensing, 61, pp.1-11. 【最有学术影响力期刊】
  5. QI, Q., GAO, J., CHEN, H., GAO, Z., HUANG, Y., CHEN, J., CAO, Y. and WANG, J., 2023. Semi-supervised seismic attenuation compensation method based on GRU dominated deep neural network. Chinese Journal of Geophysics, 66(7), pp.2997-3010.
  6. Pan, L., Gao, J., Yang, Y., Wang, Z. and Gao, Z., 2023. Automatic Seismic Lithology Interpretation via Multi-attribute Integrated Deep Learning. IEEE Geoscience and Remote Sensing Letters.
  7. Guo, M., Gao, Z., Li, Z. and Gao, J., 2023, June. Efficient blind seismic impedance inversion based on a deep learning accelerated alternative iteration inversion method. In 84th EAGE Annual Conference & Exhibition (Vol. 2023, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
  8. Li, F., Gao, J., Gao, Z., Li, C., Wang, Q., Sun, W. and Xu, Z., 2022. Generating Azimuth–Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. IEEE Transactions on Geoscience and Remote Sensing, 61, pp.1-14. 【最有学术影响力期刊】
  9. Xu, L., Gao, Z., Hu, S., Gao, J. and Xu, Z., 2022. Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-15. 【最有学术影响力期刊】
  10. Li, C., Zhang, Y., Gao, Z., Li, F., Li, Z. and Gao, J., 2022. Least-Squares Reverse Time Migration for Reflection-Angle-Dependent Reflectivity. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-15.
  11. Gao, Z., Li, C., Pan, Z., Gao, J. and Xu, Z., 2022. Hybrid domain frequency controllable envelope inversion with lowrank approximation for long-wavelength velocity model building. Journal of Applied Geophysics, 205, p.104768.
  12. Zou, L., Pan, Z., Gao, Z. and Gao, J., 2022. Improving the search accuracy of differential evolution by using the number of consecutive unsuccessful updates. Knowledge-Based Systems, 250, p.109005.
  13. Gao, Z., Yang, W., Li, C., Li, F., Wang, Q., Ding, J., Gao, J. and Xu, Z., 2022. Self-supervised deep learning for nonlinear seismic full waveform inversion. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-18. 【最有学术影响力期刊】
  14. He, Y., Chen, T., Gao, J. and Gao, Z., 2022. Superior performance of optimal perfectly matched layers for modeling wave propagation in elastic and poroelastic media. Journal of Geophysics and Engineering, 19(1), pp.106-119.
  15. Gao, Z., Yang, W., Tian, Y., Li, C., Jiang, X., Gao, J. and Xu, Z., 2022. Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion. Geophysics, 87(1), pp.R35-R51.
  16. Li, F., Gao, J., Gao, Z., Li, C. and Zhang, W., 2021. Least-squares reverse time migration with curvelet-domain preconditioning operators. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-13. 【最有学术影响力期刊】
  17. Xu, L., Gao, Z., Hu, S., Li, C. and Gao, J., 2021, October. Equivalent Q Estimation Using a Deep-learning-based Decoupling Method. In 82nd EAGE Annual Conference & Exhibition (Vol. 2021, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
  18. Li, C., Gao, Z., Gao, J., Li, F. and Yang, T., 2021. Angle-domain common-image gathers from plane-wave least-squares reverse time migration. Geophysics, 86(5), pp.S311-S324. 【最有学术影响力期刊】
  19. Chen, H., Gao, J., Gao, Z., Chen, D. and Yang, T., 2021. A sequential iterative deep learning seismic blind high-resolution inversion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp.7817-7829.
  20. Gao, Z., Hu, S., Li, C., Chen, H., Jiang, X., Pan, Z., Gao, J. and Xu, Z., 2021. A deep-learning-based generalized convolutional model for seismic data and its application in seismic deconvolution. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-17. 【最有学术影响力期刊】
  21. Chen, H., Gao, J., Jiang, X., Gao, Z. and Zhang, W., 2021. Optimization-inspired deep learning high-resolution inversion for seismic data. Geophysics, 86(3), pp.R265-R276. 【最有学术影响力期刊】
  22. Wang, Z., Gao, J., Zhao, H., Zhang, B. and Gao, Z., 2021. A new approach for blind nonlinear acoustic impedance inversion. IEEE Geoscience and Remote Sensing Letters, 19, pp.1-5.
  23. Zhang, W., Gao, J., Gao, Z. and Chen, H., 2020. Adjoint-driven deep-learning seismic full-waveform inversion. IEEE Transactions on Geoscience and Remote Sensing, 59(10), pp.8913-8932. 【最有学术影响力期刊】
  24. Li, C., Gao, J., Gao, Z., Wang, R. and Yang, T., 2020. Reflection angle-domain pseudoextended least-squares reverse time migration using hybrid regularization. IEEE Transactions on Geoscience and Remote Sensing, 59(12), pp.10671-10684. 【最有学术影响力期刊】
  25. Li, F., Gao, J., Gao, Z., Jiang, X. and Sun, W., 2020. Least-squares reverse time migration with sparse regularization in the 2D wavelet domain. Geophysics, 85(6), pp.S313-S325. 【最有学术影响力期刊】
  26. Gao, Z., Li, C., Zhang, B., Jiang, X., Pan, Z., Gao, J. and Xu, Z., 2021. Building large-scale density model via a deep-learning-based data-driven method. Geophysics, 86(1), pp.M1-M15. 【最有学术影响力期刊】
  27. Zhang, W., Gao, J., Gao, Z. and Shi, Y., 2020. 2D and 3D amplitude‐preserving elastic reverse time migration based on the vector‐decomposed P‐and S‐wave records. Geophysical Prospecting, 68(9), pp.2712-2737.
  28. Gao, Z., Li, C., Yang, T., Pan, Z., Gao, J. and Xu, Z., 2020. OMMDE-Net: A deep learning-based global optimization method for seismic inversion. IEEE Geoscience and Remote Sensing Letters, 18(2), pp.208-212.
  29. Li, F., Gao, J., Gao, Z., Li, C., Zhang, W. and Sun, W., 2021. Angle domain common image gathers from reverse time migration by combining the Poynting vector with directional decomposition. Geophysical Prospecting, 69(4), pp.799-820.
  30. Cheng, J., Pan, Z., Liang, H., Gao, Z. and Gao, J., 2021. Differential evolution algorithm with fitness and diversity ranking-based mutation operator. Swarm and Evolutionary Computation, 61, p.100816.
  31. Gao, Z., Li, C., Liu, N., Pan, Z., Gao, J. and Xu, Z., 2020. Large-dimensional seismic inversion using global optimization with autoencoder-based model dimensionality reduction. IEEE Transactions on Geoscience and Remote Sensing, 59(2), pp.1718-1732. 【最有学术影响力期刊】
  32. Gao, Z., Hu, S., Li, C., Chen, H., Gao, J. and Xu, Z., 2020, December. Reflectivity inversion of nonstationary seismic data with deep learning based data correction. In EAGE 2020 Annual Conference & Exhibition Online (Vol. 2020, No. 1, pp. 1-5). European Association of Geoscientists & Engineers.
  33. Li, C., Gao, J., Gao, Z., Wang, R. and Yang, T., 2020. Periodic plane-wave least-squares reverse time migration for diffractions. Geophysics, 85(4), pp.S185-S198. 【最有学术影响力期刊】
  34. Li, F., Gao, J., Gao, Z., Jiang, X. and Sun, W., 2019. A causal imaging condition for reverse time migration using the Discrete Hilbert transform and its efficient implementation on GPU. Journal of Geophysics and Engineering, 16(5), pp.894-912.
  35. Zuo, C., Pan, Z., Gao, Z. and Gao, J., 2019. Correlation-driven direct sampling method for geostatistical simulation and training image evaluation. Physical Review E, 99(5), p.053310.
  36. Zhaoqi Gao, Zhibin Pan, Chen Zuo, Jinghuai Gao, Zongben Xu. An Optimized Deep Network Representation of Multi-mutation Differential Evolution and Its Application in Seismic Inversion[J]. IEEE Transactions on Geoscience & Remote Sensing, 2019, 57(7): 4720-4734. (中科学分区：地球化学与地球物理1区；影响因子：5.63）
  37. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Ru-shan Wu. Frequency Controllable Envelope Operator and Its Application in Multiscale Full-Waveform Inversion[J]. IEEE Transactions on Geoscience & Remote Sensing, 2019. 57(2): 683-699. (中科学分区：地球化学与地球物理1区；影响因子：5.63）
  38. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Zongben Xu. Building long-wavelength velocity for salt structure using stochastic full waveform inversion with deep autoencoder based model reduction[C]. SEG Technical Program Expanded Abstracts 2019, 1680-1684.
  39. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Zongben Xu. Large-dimensional seismic inversion based on global optimization and autoencoder[C]. 81th EAGE Conference & Exhibition 2019.
  40. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Zongben Xu. Deep learning based global optimization scheme for high-dimensional seismic inversion[C]. The 14th International Conference of Theoretical and Computational Acoustics, 2019.
  41. Chen Zuo, Zhibin Pan, Zhaoqi Gao, Jinghuai Gao. Correlation-driven direct sampling method for geostatistical simulation and training image evaluation[J]. Physical Review E, 2019. 99(5): 053310. (中科学分区：数学物理2区；影响因子：2.353）
  42. Chuang Li, Jinghuai Gao, Rongrong Wang, Zhaoqi Gao. Enhancing Subsurface Scatters Using Reflection-Damped Plane-Wave Least-Squares Reverse Time Migration[J]. IEEE Geoscience & Remote Sensing Letters, 2019. Online. (中科学分区：地球化学与地球物理3区；影响因子：3.534）
  43. Feipeng Li, Jinghuai Gao, Zhaoqi Gao, Xiudi Jiang, Wenbo Sun. A causal imaging condition for reverse time migration using the Discrete Hilbert transform and its efficient implementation on GPU[J]. Journal of Geophysics Engineering, 2019. Online. (中科学分区：地球化学与地球物理4区；影响因子：1.411）
  44. Daoyu Chen, Jinghuai Gao, Yupeng Hou, Zhaoqi Gao. High resolution inversion of seismic wavelet and reflectivity using iterative deep neural networks[C]. SEG Technical Program Expanded Abstracts 2019, 2538-2542.
  45. Jinghuai Gao, Daoyu Chen, Zhaoqi Gao, Hongling Chen, Zongben Xu. Super-resolution inversion of seismic wavelet and reflectivity for non-stationary seismic trace using deep learning[C]. The 14th International Conference of Theoretical and Computational Acoustics, 2019.
  46. Tao Yang, Jinghuai Gao, Bing Zhang, Zhaoqi Gao. A method of coherence attribute for seismic data based on the Renyi divergence[C]. The 14th International Conference of Theoretical and Computational Acoustics, 2019.
  47. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Zongben Xu, Ru-shan Wu, Jicai Ding, and Tao Yang. Building long-wavelength velocity model via 3D frequency selected envelope inversion in the hybrid time-frequency domain[C]. SEG Global Meeting Abstracts: 44-47, 2019.
  48. Naihao Liu, Bo Zhang, Jinghuai Gao, Zhaoqi Gao, Shengjun Li. Seismic attenuation estimation using the modified log spectral ratio method[J]. Journal of Applied Geophysics, 2018, 159: 386-394. (中科学分区：地球科学综合4区；影响因子：1.646）
  49. Zhibin Pan, Hao Liang, Zhaoqi Gao, Jinghuai Gao. Differential evolution with subpopulations for high-dimensional seismic inversion[J]. Geophysical Prospecting, 2018. 66 (6): 1060-1069. (中科学分区：地球化学与地球物理4区；影响因子：1.621）
  50. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Ru-shan Wu. A novel full waveform inversion method based on a time-shift nonlinear operator[J]. Geophysical Journal International, 2017. 208(3): 1672-1689. (中科学分区：地球化学与地球物理3区；影响因子：2.777）
  51. Zhaoqi Gao, Zhibin Pan, and Jinghuai Gao. Frequency selected envelope inversion: a new approach for doing multi-scale full waveform inversion in the time domain[C]. SEG Global Meeting Abstracts: 13-17, 2017.
  52. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao. Multimutation differential evolution algorithm and its application to seismic inversion[J]. IEEE Transactions on Geoscience & Remote Sensing, 2016. 54(6): 3626-3636. (中科学分区：地球化学与地球物理1区；影响因子：5.63）
  53. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao, Ru-Shan Wu. A novel envelope inversion method with frequency selection mechanism[C]. SEG Technical Program Expanded Abstracts 2016, 1374-1379.
  54. 高照奇, 潘志斌, 高静怀, Ru-shan Wu. 带有频率选择机制的包络反演算法[C]. 中国地球科学联合学术年会, 2016.
  55. Zhibin Pan, Junjie Wu, Zhaoqi Gao, Jinghuai Gao. Adaptive differential evolution by adjusting subcomponent crossover rate for high-dimensional waveform inversion[J]. IEEE Geoscience and Remote Sensing Letters, 2015. 12 (6): 1327-1331. (中科学分区：地球化学与地球物理3区；影响因子：3.534）
  56. Zhaoqi Gao, Ru-shan Wu, Zhibin Pan, Jinghuai Gao. Full Waveform Inversion Algorithm Based on a Time-shift Nonlinear Operator[C]. SEG Technical Program Expanded Abstracts 2015, 1297-1302.
  57. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao. A new highly efficient differential evolution scheme and its application to waveform inversion[J]. IEEE Geoscience & Remote Sensing Letters, 2014. 11(10): 1702-1706. (中科学分区：地球化学与地球物理3区；影响因子：3.534）
  58. Zhaoqi Gao, Jinghuai Gao, Zhibin Pan, Xiangjun Zhang. Building an initial model for full waveform inversion using a global optimization scheme[C]. SEG Technical Program Expanded Abstracts 2014, 1136-1141.
  59. Zhaoqi Gao, Zhibin Pan, Jinghuai Gao. Waveform inversion of seismic data using multi-mutation cooperative coevolutionary differential evolution algorithm[C]. The 11th International Conference on Theoretical and Computational Acoustics, 2014.
  60. Qingbao Zhou. Jinghuai Gao, Guowei Zhang, Zhaoqi Gao. Seismic Impedance Inversion Using Approximation Zero-norm Minimization with SQP Method[C]. 76th EAGE Conference & Exhibition 2014.
专利及软件著作权

高照奇，潘志斌，高静怀；一种不依赖于测井资料的绝对波阻抗反演方法，2018.12.07，中国，ZL201710625702.2


杨涛，高静怀，孙逢圆，高照奇，张兵，王治国，李闯，刘耀波，一种基于核相关的地震数据属性提取方法，2019.04.22，中国，ZL201910325237.X


杨涛，高静怀，高照奇，张兵，刘耀波，黄健，周寒松，一种基于信息散度的地震数据属性提取方法，2019.02.20，中国，ZL201910126690.8


杨涛；高照奇；高静怀；张兵，基于结构自适应信息熵滤波器噪声衰减技术软件，2019SR0128755，登记日期：2019.02.03


杨涛；高照奇；高静怀；张兵，基于秩相关的地震资料相干属性提取技术软件，2019SR0097218，登记日期：2019.01.28

 

 

 

 

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