2024
期刊论文
C. Ning, B. Wu* and B. Wu, "Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 4436-4449, 2024, doi: 10.1109/JSTARS.2024.3358610.
Zhanxin Tang, Bangyu Wu*, and Debo Ma, (2024), "Fault3DNnet: A lightweight 3D seismic fault detection network with bidirectional decoding," GEOPHYSICS 89: IM91-IM103.https://doi.org/10.1190/geo2023-0712.1
J. Wu, B. Wu*, X. Chai and J. Jia, "PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function," in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 3004905, doi: 10.1109/LGRS.2024.3485908.
Zhihao Chen, Zhaolin Zhu*, Bangyu Wu, and Yangkang Chen, (), "Non-stationary adaptive S-wave suppression of ocean bottom node data," GEOPHYSICS 0: 1-63.https://doi.org/10.1190/geo2023-0779.1
Zitai Xu, Bangyu Wu*, Yisi Luo, Liuqing Yang, and Yangkang Chen, (2024), "SelfMixed: Self-supervised mixed noise attenuation for distributed acoustic sensing data," GEOPHYSICS 89: V415-V436.https://doi.org/10.1190/geo2023-0640.1
X. Liu, B. Wu*, C. Wei and X. Yan, "InverMulT-STP: Closed-Loop Transformer Seismic AVA Inversion With Synthetic Data Style Transfer Pretraining," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no. 4507418, doi: 10.1109/TGRS.2024.3409450.
Wang, J., Wu, B.*, Yang, H. & Li, B. (2024) Re-visible blind block network: An unsupervised seismic data random noise attenuation method. Geophysical Prospecting, 1–22. https://doi.org/10.1111/1365-2478.13559
Y. Luo, X. Liu, H. Meng, Y. Ye* and B. Wu*, "Multitask Seismic Inversion based on Deformable Convolution and Generative Adversarial Network," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3388213.
Yin, X.; Xu, W.*; Yang, Z.; Wu, B.* Seismic Blind Deconvolution Based on Self-Supervised Machine Learning. Appl. Sci. 2024, 14, 5214.
Chen, L.; Chen, Z.; Wu, B.*; Gao, J. Self-Supervised Shear Wave Noise Adaptive Subtraction in Ocean Bottom Node Data. Appl. Sci. 2024, 14, 3488. https://doi.org/10.3390/app14083488
会议论文
陈志豪,陈琳,陈阳康,朱兆林,吴帮玉. 基于非平稳整形正则化约束的自适应OBN数据横波压制[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（中册）.2024:4.DOI:10.26914/c.cnkihy.2024.001867.
雒妍妍,刘旭东,孟贺,王力宝,吴帮玉. 基于可变形卷积和生成对抗网络的多任务反演[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（下册）.2024:4.DOI:10.26914/c.cnkihy.2024.001470.
吴佳霖,吴帮玉,贾骏雄. 热启动物理信息神经网络波场模拟优化[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（下册）.2024:4.DOI:10.26914/c.cnkihy.2024.001473.
郑琪琪,吴帮玉,李萌. 物理引导的两阶段自监督学习全波形反演[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（下册）.2024:4.DOI:10.26914/c.cnkihy.2024.001471.
尹霞,徐文豪,吴帮玉. 结合无监督学习和FISTA算法的盲反褶积方法[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（下册）.2024:4.DOI:10.26914/c.cnkihy.2024.001472.
陈琳,陈志豪,吴帮玉,朱兆林. 基于深度学习的OBN数据横波泄露压制方法[C]//中国石油学会石油物探专业委员会.第二届中国石油物探学术年会论文集（下册）.2024:4.DOI:10.26914/c.cnkihy.2024.001468.
2023
期刊论文
Wenzhuo Tan, Bangyu Wu*, Rui Li and Bo Li, 2023, Proper orthogonal decomposition based seismic source wavefield reconstruction for finite element reverse time migration, Petroleum Science, Volume 20, Issue 1, Pages 199-211.
Liu Xudong, Wu Bangyu* and Yang Hui, "Multitask Full Attention U-Net for Prestack Seismic Inversion," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 3002605, doi: 10.1109/LGRS.2023.3303698.
Zitai Xu, Yisi Luo, Bangyu Wu*, Deyu Meng and Yangkang Chen, "Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-17, 2023, Art no. 5921517, doi: 10.1109/TGRS.2023.3329303.
Weihua Wu, Yang Yang*, Bangyu Wu*, Debo Ma, Zhanxin Tang and Xia Yin, "MTL-FaultNet: Seismic Data Reconstruction Assisted Multitask Deep Learning 3-D Fault Interpretation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 5914815, doi: 10.1109/TGRS.2023.3299378.
Qiao Xie, Bangyu Wu* and Yueming Ye, "Attention and Hybrid Loss Guided 2D Network for Seismic Impedance Inversion," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2023.3262679.
Zitai Xu (1st author), Yisi Luo (1st author), Bangyu Wu* and Deyu Meng, "S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 5908315, doi: 10.1109/TGRS.2023.3268554.
Zhenhui Jin, Xinze Li, Hui Yang, Bangyu Wu* and Xu Zhu, 2023, Depthwise separable convolution Unet for 3D seismic data interpolation. Front. Earth Sci. 10:1005505. doi: 10.3389/feart.2022.1005505
Zitai Xu and Bangyu Wu*, Unsupervised deep learning seismic data random noise attenuation with early stopping, Journal of Geophysics and Engineering, 2023;, gxad005, https://doi.org/10.1093/jge/gxad005
Zhanxin Tang, Bangyu Wu*, Weihua Wu, Debo Ma. Fault Detection via 2.5D Transformer U-Net with Seismic Data Pre-Processing. Remote Sens. 2023, 15, 1039. https://doi.org/10.3390/rs15041039
Zheng Qiqi; Wei Chao*; Yan Xinfei; Ruan Housong; Wu Bangyu*. Seismic Elastic Parameter Inversion via a FCRN and GRU Hybrid Network with MultiTask Learning. Appl. Sci. 2023, 13,10519. https://doi.org/10.3390/app131810519
王婧，陈睿，马小琴，吴帮玉* . 加权全变分正则化与 ADMM 求解的无监督地震数据随机噪声压制方法［J］. 石油地球物理勘探，2023，58（4）：766‑779，800.
张苗苗，吴帮玉*，马德波，王治国. 深度神经网络三维地震资料断层解释损失函数对比［J］. 石油地球物理勘探，2023，58（6）：1299‑1312.
何 涛, 刘乃豪, 吴帮玉*, 李 博, 朱 旭, 郑 浩. 基于 ResU-Net 的三维断层识别方法及应用[J]. 工程数学学报, doi: 10.3969/j.issn.1005-3085.2023.01.001.
会议论文
J. Wang, B. Wu and H. Yang, "Unsupervised Seismic Data Random Noise Attenuation Method Based on Improved Blind Spot Strategy," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 6073-6076, doi: 10.1109/IGARSS52108.2023.10283322.
Q. Zheng, B. Wu and H. Yang, "Multi-Task Seismic Deep Learning Inversion Based on FCRN and GRU Hybrid Network," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 7078-7081, doi: 10.1109/IGARSS52108.2023.10282174.X.
X. Liu, B. Wu and H. Yang, "Hybrid Loss Guided 2d Multi-Task Full Attention U-Net for Prestack Seismic Inversion," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 2211-2214, doi: 10.1109/IGARSS52108.2023.10282675.
Z. Xu, B. Wu and H. Yang, "Seismic Data Random Noise Attenuation Using Visible Blind Spot Self-Supervised Learning," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 2207-2210, doi: 10.1109/IGARSS52108.2023.10283058.
C. Ning, B. Wu and Z. Zhu, "Transformer and CNN Hybrid Neural Network for Seismic Impedance Inversion," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 5543-5546, doi: 10.1109/IGARSS52108.2023.10281611.
2022
期刊论文
Bangyu Wu, Qiao Xie and Baohai Wu*, 2022, "Seismic Impedance Inversion Based on Residual Attention Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 4511117, doi: 10.1109/TGRS.2022.3193563.
Bangyu Wu, Wenzhuo Tan, Wenhao Xu* and Bo Li (2022) Trapezoid-Grid Finite-Difference Time-Domain Method for 3D Seismic Wavefield Modeling Using CPML Absorbing Boundary Condition. Front. Earth Sci. 9:777200. doi: 10.3389/feart.2021.777200
Jiaxu Yu and Bangyu Wu*, Attention and Hybrid Loss Guided Deep Learning for Consecutively Missing Seismic Data Reconstruction, in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-8, 2022, Art no. 5902108, doi: 10.1109/TGRS.2021.3068279. (ESI高被引)
Xiu Zheng, Bangyu Wu*, Xiaosan Zhu, and Xu Zhu. 2022. "Multi-Task Deep Learning Seismic Impedance Inversion Optimization Based on Homoscedastic Uncertainty" Applied Sciences 12, no. 3: 1200. https://doi.org/10.3390/app12031200
Xinze Li, Bangyu Wu*, Xu Zhu and Hui Yang, "Consecutively Missing Seismic Data Interpolation Based on Coordinate Attention Unet," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 3005005, doi: 10.1109/LGRS.2021.3128511.
Delin Meng, Bangyu Wu*, Zhiguo Wang and Zhaolin Zhu, Seismic Impedance Inversion Using Conditional Generative Adversarial Network, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 7503905, doi: 10.1109/LGRS.2021.3090108.
Chenyu Qiu, Bangyu Wu*, Naihao Liu, Xu Zhu and Haoran Ren, Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 7502005, doi: 10.1109/LGRS.2021.3053760.
Tao He, Bangyu Wu* and Xu Zhu, Seismic Data Consecutively Missing Trace Interpolation Based on Multistage Neural Network Training Process, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 7504105, doi: 10.1109/LGRS.2021.3089585.
Zirui Wang, Bo Li, Naihao Liu*, Bangyu Wu* and Xu Zhu, Distilling Knowledge From an Ensemble of Convolutional Neural Networks for Seismic Fault Detection, in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 7500805, doi: 10.1109/LGRS.2020.3034960. (ESI高被引)
Chenyu Qiu, Bangyu Wu*, Meng Li, Hui Yang, Xu Zhu， Horizontal Layer Constrained Attention Neural Network for Semblance Velocity Picking, 2022, arXiv:2207.00380.
会议论文
Wenzhuo Tan, Rui Li, Bangyu Wu*, and Bo Li, (2022), "Seismic source wavefield reconstruction based on proper orthogonal decomposition for finite element modeling," SEG Global Meeting Abstracts : 170-174.https://doi.org/10.1190/iwmg2021-44.1
X. Zheng, B. Wu, X. Zhu and X. Zhu, "Multi-Task Deep Learning Seismic Impedance Inversion Optimization Based on Homoscedastic Uncertainty," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 6149-6152, doi: 10.1109/IGARSS46834.2022.9884853.
Q. Xie, B. Wu and E. Zhang, "Seismic Impedance Inversion based on Residual Attention Network," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 6153-6156, doi: 10.1109/IGARSS46834.2022.9884815.
X. Fei, Y. Hui, B. Wu, R. Wang and X. Lian, "“Missing-As-Complete” (MAC) Strategy and Hybrid Loss Guided Network Training for Seismic Data Reconstruction," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 6161-6164, doi: 10.1109/IGARSS46834.2022.9883163.
唐湛鑫,吴伟华,马德波,吴帮玉. 基于Transformer与U型网络的2.5D地震断层检测方法[C]//中国石油学会石油物探专业委员会,中国地球物理学会勘探地球物理委员会.2022年中国石油物探学术年会论文集（下册）. 2022:522-525.DOI:10.26914/c.cnkihy.2022.039593.
吴伟华,马德波,吴帮玉. 基于多任务残差3DUnet的地震断层解释[C]//中国石油学会石油物探专业委员会,中国地球物理学会勘探地球物理委员会.2022年中国石油物探学术年会论文集（下册）.2022:506-509.DOI:10.26914/c.cnkihy.2022.039589.
彭羽菲,徐子泰,惠永昌,吴帮玉. 基于Dropout和深度图像先验的地震数据去噪[C]//中国石油学会石油物探专业委员会,中国地球物理学会勘探地球物理委员会.2022年中国石油物探学术年会论文集（下册）.2022:510-513.DOI:10.26914/c.cnkihy.2022.039590.
费雪,惠永昌,吴帮玉等. 自监督连续缺失地震数据插值方法[C]//中国石油学会石油物探专业委员会,中国地球物理学会勘探地球物理委员会.2022年中国石油物探学术年会论文集（下册）.2022:502-505.DOI:10.26914/c.cnkihy.2022.039588.
2021
期刊论文
Bangyu Wu, Delin Meng and Haixia Zhao*, 2021, Semi-supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks, Remote Sensing, 13(5): 909.
Bangyu Wu, Weirong Qiu, Junxiong Jia*, and Naihao Liu*, 2021, Landslide Susceptibility Modeling Using Bagging based Positive-Unlabeled Learning, IEEE Geoscience and Remote Sensing Letters, 18(5): 766-770.
Bangyu Wu, Wenzhuo Tan, Wenhao Xu*, 2021, Trapezoid-grid finite difference frequency domain method for seismic wave simulation, Journal of Geophysics and Engineering, 18(4): 594-604.
Zhu Chen, Bangyu Wu*, Bin Li and Housong Ruan, Expressway Exit Traffic Flow Prediction for ETC and MTC Charging System Based on Entry Traffic Flows and LSTM model, IEEE Access, 9, 54613-54624, doi:10.1109/ACCESS.2021.3070625.
Xinze Li, Bangyu Wu*, Guofeng Liu, Xu Zhu and Linfei Wang, 2021, Microleveling aerogeophysical data using deep convolutional network and MoG-RPCA, Artificial Intelligence in Geosciences, 2, 20-25.
Housong Ruan, Bangyu Wu, Bin Li* and Zhu Chen, Expressway Exit Station Short-term Traffic Flow Prediction with Split Traffic Flows According Originating Entry Stations, IEEE Access, 9, 86285-86299.
Lingling Wang, Delin Meng, Bangyu Wu*, Seismic Inversion via Closed-Loop Fully Convolutional Residual Network and Transfer Learning, Geophysics, 86(5): R671-R683.
Wenhao Xu, Bangyu Wu, Yang Zhong, Jinghuai Gao* and Qinghuo Liu*, Adaptive 27-point finite difference frequency domain method for wave simulation of 3D acoustic wave equation, Geophysics, 86 (6): T439-T449.
Wenhao Xu, Yang Zhong, Bangyu Wu, Jinghuai Gao*, and Qing Huo Liu*, 2021, Adaptive complex frequency with V-cycle GMRES for preconditioning 3D Helmholtz equation, GEOPHYSICS 86(5): T349-T359.
Haixia Zhao*, Bangyu Wu, Jinghuai Gao, Effects of petrophysical parameters on attenuation and dispersion of seismic waves in the simplified poroelastic theory: Comparison between the Biot’s theory and viscosity-extended theory, Geophysical Prospecting, 69(1), 204-219.
伊小蝶, 吴帮玉, 孟德林, 曹相湧*. 数据增广和主动学习在波阻抗反演中的应用. 石油地球物理勘探, 2021, 56(4): 707-715. DOI: 10.13810/j.cnki.issn.1000-7210.2021.04.004.
会议论文
Wenzhuo Tan, Bangyu Wu*, Bo Li, and Zhaolin Zhu, (2021), "3D trapezoid-grid finite-difference time-domain (FDTD) method for seismic wave modeling," SEG Technical Program Expanded Abstracts : 2505-2509 (https://doi.org/10.1190/segam2021-3581895.1).
C. Qiu, B. Wu, D. Meng, X. Zhu, M. Li and N. Qin, "Attention Neural Network Semblance Velocity Auto Picking with Reference Velocity Curve Data Augmentation," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 4596-4599, doi: 10.1109/IGARSS47720.2021.9553655.
W. Tan, B. Wu, W. Xu and J. Lei, "Frequency-Domain Trapezoid Grid Acoustic Wave Simulating Method," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 2939-2942, doi: 10.1109/IGARSS47720.2021.9553874.
郑修，吴帮玉*，孟德林，朱旭，2021，基于同方差不确定性的多任务地震反演优化，中国石油学会2021物探技术研讨会论文集，1022-1025（10.26914/c.cnkihy.2021.014658)。
谢巧，吴帮玉*，孟德林，2021，基于ResAttentionNet网络的波阻抗反演，中国石油学会2021物探技术研讨会论文集，1050-1053 (10.26914/c.cnkihy.2021.014665）。
邱辰禹，吴帮玉*，李萌，秦楠，朱旭，2021，基于速度谱特征约束的无监督速度拾取方法，中国石油学会2021物探技术研讨会论文集，1018-1021（10.26914/c.cnkihy.2021.014657）。
李欣泽，吴帮玉*，俞嘉旭，李博，朱旭，2021，基于残差空间注意力U型网络的地震数据重建方法，中国石油学会2021物探技术研讨会论文集，1030-1033（10.26914/c.cnkihy.2021.014660）。
阮厚松，吴帮玉*，孟德林，朱小三，2021，基于多任务学习的地震参数反演，中国石油学会2021物探技术研讨会论文集，1034-1037 （10.26914/c.cnkihy.2021.014661）。
陈柱，吴帮玉*，邱辰禹，李萌，秦楠，2021，基于时间权重损失函数与注意力机制的卷积神经网络速度谱自动拾取方法，中国石油学会2021物探技术研讨会论文集，1042-1045 （10.26914/c.cnkihy.2021.014663）。
金振辉，吴帮玉*，邱辰禹，2021，基于U-net卷积神经网络的稀疏地震道速度拾取方法，中国石油学会2021物探技术研讨会论文集，1070-1073 （10.26914/c.cnkihy.2021.014670）。
2020
期刊论文
Bangyu Wu*, Ru-Shan Wu, Xiudi Jiang, Wenbo Sun and Jinghuai Gao, 2020, Dreamlet: a new representation and migration of seismic wavefield in full local domains, Commun. Comput. Phys., 28(1): 111-127.
Bangyu Wu, Delin Meng, Lingling Wang*, Naihao Liu and Ying Wang, 2020, Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning, IEEE Geoscience and Remote Sensing Letters, 17(12), 2140-2144.
Bangyu Wu, Jiaxu Yu, Haoran Ren, Yihuai Lou, and Naihao Liu*, 2020, Seismic traffic noise attenuation using lp norm Robust PCA, IEEE Geoscience and Remote Sensing Letters, 17(11): 1998-2001.
Naihao Liu, Tao He, Yajun Tian, Bangyu Wu*, Jinghuai Gao and Zongben Xu, 2020, Common-azimuth seismic data fault analysis using residual UNet, Interpretation, 8(3), SM25-SM37.
谭文卓，吴帮玉，李博*，雷军，2020，梯形网格伪谱法地震波模拟方法，石油地球物理勘探，55(6): 1282-1291.
邱维蓉，吴帮玉，潘学树，唐亚明, 2020，几种聚类优化的机器学习方法在灵台县滑坡易发性评价中的应用，西北地质, 53(1): 222-233.
Fangyu Li, Bangyu Wu, Naihao Liu*, Ying Hu, and Hao Wu, 2020, Seismic time-frequency analysis via adaptive mode separation based wavelet transform, IEEE Geoscience and Remote Sensing Letters, 17(4): 696-700.
会议论文
Delin Meng, Bangyu Wu, Naihao Liu, Wenchao Chen, "Semi-Supervised Deep Learning Seismic Impedance Inversion Using Generative Adversarial Networks", Geoscience and Remote Sensing Symposium IGARSS 2020 - 2020 IEEE International, pp. 1393-1396, 2020.
Lingling Wang*, Delin Meng, Bangyu Wu, Naihao Liu, 2020, Seismic Inversion via Closed-Loop Fully Convolutional Residual Network and Transfer Learning, SEG Technical Program Expanded Abstracts 2020, 1521-1525.
Housong Ruan, Bangyu Wu, Bin Li, Zhu Chen and Han Zhang, Highway Short-Term Traffic Flow Prediction with Traffic Flows from Multi Entry Stations, SAE Technical Paper 2020-01-5198, https://doi.org/10.4271/2020-01-5198.
Zhu Chen, Zhijie Li, Bangyu Wu, Bin Li*, Han Zhang and Housong Ruan, Short-Term Traffic Flow Prediction for Electronic Toll Collection and Manual Toll Collection Charging System Based on Long Short-Term Memory Model, SAE Technical Paper 2020-01-5197, https://doi.org/10.4271/2020-01-5197.
伊小蝶，吴帮玉*，孟德林，2020，数据增广在深度学习波阻抗反演中的应用，SPG/SEG南京2020年国际地球物理会议,1018-1021。
2019
期刊论文
Bangyu Wu, Wenhao Xu, Bo Li*, Junxiong Jia, 2019, Trapezoid coordinate finite difference modeling of acoustic wave propagation using the CPML boundary condition, Journal of Applied Geophysics, 168: 101-106.
Junxiong Jia, Bangyu Wu, Jigen Peng*, Jinghuai Gao, 2019, Recursive linearization method for inverse medium scattering problems with complex mixture Gaussian error learning, Inverse Problems, 35, 075003.
Zhaolin Zhu, Danping Cao*, Bangyu Wu, Xingyao Yin and Ying Wang, 2019, Non-orthogonal beam coordinate system wave propagation and reverse time migration. Journal of Geophysical and Engineering, 16(6), 1071-1083.
会议论文
王紫蕊，吴帮玉，刘乃豪*,朱旭，李博，2019，卷积神经网络在地震断层自动识别中的应用，中国石油学会2019年物探技术研讨会.
邱维蓉，吴帮玉*,贾骏雄，2019，基于正例和未标记样本的半监督集成学习方法在滑坡易发性预测中的应用，中国石油学会2019年物探技术研讨会.
俞嘉旭，吴帮玉，刘乃豪*,孟德林，任浩然，2019，基于p范数鲁棒主成分分析的地震数据公路噪声压制，中国石油学会2019年物探技术研讨会.
俞嘉旭，吴帮玉*,刘乃豪，任浩然，朱小三，2019，基于局部成像矩阵的监督学习散射点识别，中国石油学会2019年物探技术研讨会.
何涛，刘乃豪，吴帮玉*，朱旭，郑浩，2019，合成数据样本卷积神经网络断层自动识别应用，中国石油学会2019年物探技术研讨会.
孟德林，邱维蓉，汪玲玲*，吴帮玉，刘乃豪，2019，基于残差网络的波阻抗反演，中国石油学会2019年物探技术研讨会.
Xin Wang, Naihao Liu, Bangyu Wu*, Qian Wang and Jinghuai Gao, 2019, Seismic geological structure description using seismic phase attribute and coherence attribute, 81st EAGE Annual Meeting expanded abstracts.
Zhaolin Zhu*, Danping Cao, Bangyu Wu, 2019, Seismic High Amplitude Noise Attenuation Based on the Deep Learning Method, 81st EAGE Annual Meeting expanded abstracts.
Lingling Wang*, Delin Meng, Weirong Qiu, Bangyu Wu, 2019, Seismic Impedance Inversion via Residual Learning Networks, The 14th International Conference on Theoretical and Computational Acoustics.
2018
期刊论文
吴帮玉，杨辉*，孙文博，姜秀娣，高静怀，2018，三维共偏移距叠前地震数据反假频射线束形成偏移成像，地球物理学报，61(8): 3297-3309。
高静怀，徐文豪，吴帮玉*，李博，赵海霞，2018，深度均匀采样梯形网格有限差分地震波场模拟方法，地球物理学报，61(8): 3285-3296。
Junxiong Jia, Bangyu Wu*, 2018, A Carleman estimate of some anisotropic space-fractional diffusion equations, Applied Mathematics Letters,80, 1-7.
Junxiong Jia, Bangyu Wu, Jigen Peng and Jinghuai Gao, 2018, Complex Gaussian mixture based model error learning for inverse medium scattering problems with multi-frequencies, arXiv:1804.05471.
Hui Yang, Junxiong Jia, Bangyu Wu* and Jinghuai Gao, 2018, Mini-batch optimaized full waveform inversion with geological constrained gradient filtering, Journal of Applied Geophysics, 152, 9-16.
会议论文
Bangyu Wu*, Bo Li, Hui Yang and Junxiong Jia, 2018, Trapezoid grid finite difference for acoustic wave modeling, SEG 2018 Workshop: Seismic Imaging, Beijing, China, 12-14 November 2018: 52-55.
Bangyu Wu*, Wenhao Xu, Junxiong Jia, Bo Li, Hui Yang, Haixia Zhao and Jinghuai Gao, 2018, Convolutional perfect matched layer boundary for trapezoid grid finite difference seismic modeling, SEG Technical Program Expanded Abstracts 2018, 3989-3993.
Haixia Zhao*, Xiaokai Wang, Bangyu Wu, Jingrui Luo and Hui Li, 2018, Attenuation and dispersion of predicted seismic waves in the simplified poroelastic theory, SEG Technical Program Expanded Abstracts 2018, 5093-5097.
2017
期刊论文
吴帮玉*，吴如山，高静怀, 徐宗本，2017，基于时空局域化dreamlet单程波算子的观测系统沉降法偏移，地球物理学报，60(9): 3505-3517。
会议论文
Bangyu Wu*, Hui Yang and Jinghuai Gao, 2017, Anti-anliasing in Kirchhoff beam migration, The 13th International Conference on Theoretical and Computational Acoustics.
Hui Yang, Bangyu Wu*, 2017, Full waveform inversion based on min-batch gradient descent optimization with geological constrain, International Geophysical Conference, Qingdao, China, 17-20 April 2017: 403-406.
Junxiong Jia, Qihang Sun, Bangyu Wu*, Jigen Peng, 2017, A general local adaptive regularization inversion and its iterative solution, SEG 2017 Workshop: Full-waveform Inversion and Beyond, Beijing, China, 20-22 November 2017: 99-102.
