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  • 助理教授
  • 入职时间：2021-12-03
  • 学历：博士研究生毕业
  • 性别：女
  • 学位：博士
  • 在职信息：在职
  • 所属院系：信息与通信工程学院
  • 学科：信息与通信工程
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期刊论文：

  1. Yang Yang; Zhuo Wang; Naihao Liu; Jingyu Wang; Shanmin Pang; Rongchang Liu; Jinghuai Gao, "Physically Driven Self-Supervised Learning and its Applications in Geophysical Inversion," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-11, 2024, Art no. 4503211, doi: 10.1109/TGRS.2024.3368016.
  2. L. Pan, J. Gao*, Y. Yang*, Z. Wang and Z. Gao, "Automatic Seismic Lithology Interpretation via Multiattribute Integrated Deep Learning," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 7503205, doi: 10.1109/LGRS.2023.3283554
  3. Naihao Liu, Youbo Lei, Yang Yang*, Shengtao Wei, Jinghuai Gao, Xiudi Jiang; Self-supervised time-frequency representation based on generative adversarial networks. Geophysics 2023; 88 (4): IM87–IM99. doi: https://doi.org/10.1190/geo2022-0212.1
  4. N. Liu, J. Wang, Y. Yang*, Z. Li and J. Gao, "WVDNet: Time-Frequency Analysis via Semi-Supervised Learning," in IEEE Signal Processing Letters, vol. 30, pp. 55-59, 2023, doi: 10.1109/LSP.2023.3235646. 
  5. N. Liu, Y. Lei, R. Liu, Y. Yang*, T. Wei and J. Gao, "Sparse Time–Frequency Analysis of Seismic Data: Sparse Representation to Unrolled Optimization," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-10, 2023, Art no. 5915010, doi: 10.1109/TGRS.2023.3300578.
  6. Naihao Liu, Shengtao Wei, Shengjun Li, Yang Yang*, Yijie Zhang, and Jinghuai Gao, (2023), "Sparse unscaled time-frequency transform and its application on seismic attenuation delineation," GEOPHYSICS 88: B355-B368. https://doi.org/10.1190/geo2022-0522.1
  7. M. Zhang, J. Gao*, Z. Wang*, Y. Yang and N. Liu, "Enhancing Seismic Resolution via Hyperbolic Spaces S Transform," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5919411, doi: 10.1109/TGRS.2023.3318253
  8. Z. Wang, Q. Wang, Y. Yang*, N. Liu, Y. Chen and J. Gao*, "Seismic Facies Segmentation via a Segformer-Based Specific Encoder–Decoder–Hypercolumns Scheme," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5903411, doi: 10.1109/TGRS.2023.3244037.
  9. N. Liu, S. Wei, R. Liu, Y. Yang*, N. Zhang and J. Gao, "Seismic Attenuation Estimation via Unscaled Time–Frequency Representation and Divergence," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-10, 2022, Art no. 4513610, doi: 10.1109/TGRS.2022.3223721
  10. Liu N, Zhang Y, Lei Y, Yang Y*, Wang Z, Gao J and Jiang X, Seismic Sparse Time-Frequency Network with Transfer Learning [J], IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13, Art no. 4513913. 
  11. Chen Z, Wang Z*, Yang Y and Gao J, ResGraphNet: GraphSAGE with Embedded Residual Module for Prediction of Global Monthly Mean Temperature [J], Artificial Intelligence in Geosciences, 2022, 3: 148-156. 
  12. Liu N, Wei S, Liu R, Yang Y*, Zhang N and Gao J, Seismic Attenuation Estimation via Unscaled Time–Frequency Representation and Divergence [J], IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-10, Art no. 4513610. 
  13. Zhang M, Gao J*, Wang Z, Yang Y, Liu N and Wei Q, Q Estimation via the Discriminant Method Based on Error Modeling [J], IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-11, 2022, Art no. 5922811. 
  14. Yang Y, Lei Y, Liu N*, Wang Z*, Gao J and Ding J, SparseTFNet: A Physically Informed Autoencoder for Sparse Time–Frequency Analysis of Seismic Data [J], IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12, Art no. 4512812. 
  15. Liu N, Wei S, Yang Y*, Li S, Sun F and Gao J, Seismic Attenuation Estimation Using an Enhanced Log Spectral Ratio Method [J], IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5, Art no. 8025405. 
  16. Yang Y, Gao J*, Wang Z*, and Liu N. Data-Driven Time-Frequency Method and its Application in Detection of Free Gas Beneath a Gas Hydrate Deposit [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-13, Art no. 5909713. 
  17. Yang Y, Wang Z*, Gao J*, Liu N and Li Z, Sparse Inversion-Based Seismic Random Noise Attenuation via Self-Paced Learning [J], Artificial Intelligence in Geosciences, 2021, 2: 223-233. 
  18. Zhang Y, Zhang H, Yang Y, Liu N* and Gao J, Seismic Random Noise Separation and Attenuation Based on MVMD and MSSA [J], IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16, Art no. 5908916. 
  19. Yang Y, Gao J*, Wang Z and Li Z. Seismic Absorption Qualitative Indicator via Sparse Group-Lasso based Time-Frequency Representation [J]. IEEE Geoscience and Remote Sensing Letters. 2021, 18(9), 1680-1684. 
  20. Li Z, Gao J*, Wang Z, Liu N and Yang Y, Time-Synchroextracting General Chirplet Transform for Seismic Time–Frequency Analysis [J], IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(12): 8626-8636.
  21. Liu, N, Yang, Y, Li, Z, Gao J*, Jiang X and Pan S. Seismic Signal De-Noising Using Time–Frequency Peak Filtering Based on Empirical Wavelet Transform [J]. Acta Geophysica. 2020, 68, 425–434. 
  22. Yang Y, Gao J*, Wang Z, Zhang G and Zhu X. 2-D Seismic Random Noise Attenuation via Self-Paced Nonnegative Dictionary Learning [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(12): 5391-5401.
  23. Xu X, Gao J*, Zhang B, Chen H and Yang Y, Multichannel Reflectivity Inversion with Sparse Group Regularization Based on HPPSG Algorithm [J], IEEE Geoscience and Remote Sensing Letters, 2020, 17(5): 784-788. 
  24. Yan K, Gao J*, Zhang B, Wang Q and Yang Y, Seismic Attenuation Estimation Using the Centroid Frequency Shift and Divergence [J], IEEE Geoscience and Remote Sensing Letters, 2019, 16(12): 1924-1928. 
  25. Chen H, Gao J*, Liu N and Yang Y, Multitrace Semiblind Nonstationary Deconvolution [J], IEEE Geoscience and Remote Sensing Letters, 2019, 16(8): 1195-1199. 
  26. Yang Y*, Gao J, Zhang G and Wang Q. An Efficient Attenuation Compensation Method Using The Synchrosqueezing Transform [J]. Journal of Seismic Exploration, 2018, 27(6), 577-591.
  27. 张岐, 杨阳, 魏千盛, 王治国*, 高静怀, 基于广义Beta小波稀疏域混合约束优化的地震去噪方法研究 [J], 2022, 地球物理学报. 
  28. 王倩楠, 王治国*, 杨阳, 朱剑兵, 高静怀, 基于多特征融合自编码器的无监督地震相分类研究 [J]，2023，地球物理学报. 
  29. 许李囡, 高静怀, 杨阳, 高照奇, 王前. 基于S变换和变分法的品质因子Q估计方法 [J]. 石油地球物理勘探,  2022, 57(01): 82-90+7.

 

会议论文：

  1. Zhang Y, Liu N, Yang Y, Wang Z, Gao J, and Jiang X, Sparse Time-Frequency Representation Based On Unet with Domain Adaptation [C], International Meeting for Applied Geoscience & Energy, 2022, 1302-1306. 
  2. Lei Y, Yang Y, Liu N, Wei S, Gao J and Jiang X, Seismic Sparse Time-Frequency Representation via GAN-Based Unsupervised Learning [C], International Meeting for Applied Geoscience & Energy, 2022, 1432-1436. 
  3. Lei Y, Liu N, Yang Y, Wei S, Wang Z, Gao J, Sparse Time-Frequency Representation Based on Self-Supervised Learning [C], The 83rd EAGE Annual Conference & Exhibition, 2022, 1: 451-456.
  4. Zhang Y, Liu N, Yang Y, Wang Z, Gao J, Jiang X, Sparse Time-frequency Transform via Deep Learning and Transfer Learning: Part II-Transfer Learning and Field Data Application [C], The 83rd EAGE Annual Conference & Exhibition, 2022, 1: 457-461. 
  5. Xu X, Gao J, Zhang B, Chen H, Yang Y, Multichannel Reflectivity Inversion with Sparse Group Regularization Based on HPPSG Algorithm [C], The 81st EAGE Annual Conference & Exhibition, 2019, 1-5. 
  6. Zhang, H, Zhang, Y, Yang, Y, Liu, N, Wang, Z, and Gao J. Seismic Random Noise Attenuation Using MVMD and MSSA [C]. International Meeting for Applied Geoscience and Energy, 2021, 1111-1115. 
  7. Yang Y, Gao J, Zhang G, and Zhu X, 2D-Seismic Random Noise Attenuation by Self-pace Nonnegative Dictionary Learning [C], SEG Technical Program Expanded Abstracts, 2018, 4613-4617. 
  8. Yang Y, Gao J, Wang Z, Wang B. Random Noise Attenuation Using Non-Convex Sparse Regularization and Generalized Beta Wavelets [C]. The 80th EAGE Annual Conference & Exhibition, 2018, 1-5.
  9. Yang Y, Gao J, Zhang G, Wang Q. An Efficient Attenuation Correction Method using The Synchrosqueezing Transform [C]. SEG Technical Program Expanded Abstracts, 2017, 3376-3380. 
  10. 潘乐乐，杨阳，王珂铮，王治国，高照奇，高静怀. 基于一维小波散射变换与残差U-Net的岩相识别方法 [C]. 2022/2021中国地球科学联合学术年会，2022. 
  11. 陈红灵, 高静怀, 王治强, 杨阳. 基于优化算法展开的深度学习方法用于地震高分辨反演 [C]. 2020年中国地球科学联合学术年会, 2020: 66-68.
  12. 杨阳, 高静怀, 王治国, 刘乃豪, 李振. 基于稀疏谱分解的衰减定性估计方法 [C]. 2020年中国地球科学联合学术年会. 2020: 224-226. 

专利：

  1. 刘乃豪，张浩然，魏圣焘，张泽洲，王家乐，王治国，杨阳，张懿洁，高静怀，一种基于t分布随机近邻嵌入的多频率属性融合砂体解释方法、设备及可读存储介质，申请号：CN202211580496.5.
  2. 王治国，姜悦樱，杨阳，刘乃豪，高静怀，一种基于可解释深度网络的地震信号瞬时频率估计方法，申请号：CN202210520298.3.
  3. 刘乃豪，张宇新，杨阳，魏圣焘，雷友波，王家乐，王治国，高静怀，2022，一种基于深度学习的地震波衰减估计方法与估计系统，申请号：CN202211208146.6.
  4. 刘乃豪，雷友波，杨阳，王家乐，王静宇，王治国，高静怀，2022，一种基于自监督生成对抗学习和重构物理约束的稀疏时频分析方法、设备及可读存储介质，申请号：CN202211307564.0.
  5. 杨阳，雷友波，刘乃豪，张宇新，魏圣焘，王家乐，高静怀，李振，2022，基于自编码器的稀疏时频谱分析方法、模型、设备及介质，申请号：CN202211212676.8.
  6. 刘乃豪，魏圣焘，杨阳，王家乐，高静怀，王治国，雷友波，张宇新，2022，一种稀疏时频谱的地震衰减定性估计方法、系统、设备及可读存储介质，申请号：CN202211181218.2.
  7. 王治国, 陈宇民, 杨阳, 高照奇, 李振, 王倩楠, 高静怀，2022，一种基于自注意力机制与U型结构结合的地震相自动化识别方法, 申请号：CN202210759364.2.
  8. 高静怀, 潘乐乐, 杨阳, 高照奇, 王治强, 2022, 一种基于散射变换和神经网络的优质储层识别方法、装置、设备及存储介质, 申请号：CN202210243307.9.
  9. 王治国, 杨阳, 高静怀，2022，一种基于图信号约束的节点地震仪叠前地震数据插值方法、装置、设备及存储介质, 申请号：CN202210095036.7.
  10. 王治国，杨阳，高静怀，刘乃豪，张兵，2021，一种基于混合范数和小波变换的稀疏时频谱分解方法、装置、设备及存储介质，专利号：ZL2021109267639.
  11. 刘乃豪，魏圣焘，杨阳，高静怀，王治国，张浩然，张宇新，雷友波，2021，一种基于稀疏S变换和自适应对数谱比法的地震衰减估计方法、系统、设备及存储介质，专利号：ZL202110858324.9.
  12. 刘乃豪，张浩然，张懿洁，杨阳，高静怀，楼以怀，李振，田亚军，2021，一种基于MVMD和MSSA的三维地震数据随机噪音压制方法，专利号：ZL2021108261546.
  13. 王清振, 高静怀, 张金淼, 姜秀娣, 翁斌, 朱振宇, 张益明, 杨阳, 桑淑云, 丁继才, 赵小龙, 陈剑军, 李超, 2020,一种基于非凸稀疏约束的地震资料噪声压制方法, 专利号: ZL202010407082.7.
  14. 张金淼, 高静怀, 丁继才, 王清振, 翁斌, 朱振宇, 桑淑云, 陈剑军, 赵小龙, 姜秀娣, 杨阳, 郑颖, 李超, 2020, 一种基于多次挤压小波变换的地震时频分析方法及系统, 专利号：ZL202010354535.4.
  15. 高静怀, 杨阳, 王治国, 李振, 2020, 一种基于稀疏谱分解的衰减定性分析的方法,专利号：ZL202010352145.3.
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