敖亦乐

北京化工大学2023年引进青年后备人才，硕士生导师。2012年本科毕业于中国石油大学勘查技术与工程专业，2015年硕士毕业于中国石油大学地质工程专业，2019年博士毕业于中国石油大学地质工程与地质资源专业。2019年至2022年在清华大学自动化系做博士后。2023年至今在北京化工大学机电工程学院工作。现已发表 SCI/EI 检索论文20余篇。主持自然科学基金青年基金项目一项、国家重点研发子课题一项及多项横向科研课题，并作为科研骨干参与国家重点研发计划、国家科技重大专项、自然科学基金面上项目等多项国家纵向项目。

联系方式：aoyile@yeah.net

通迅地址：北京市朝阳区北京化工大学机械楼 401

研究方向：

★ 机器学习及深度学习算法研究；

★ 智能图像、信号处理算法研究；

★ 地球物理数据处理、解释应用；

★ 机械故障检测及状态监测应用；

代表性论文：

■ Ao Yile, Tian Fei, Lu Wenkai, et al. Improving Logging-While-Drilling Azimuthal Imaging With Deep Learning Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, 2024, 63: 4500415. DOI:10.1109/TGRS.2024.3513640

■ Tian Xinyu, Ao Yile, Li Yanda, et al. A ground-roll separation method based on neural networks with morphological similarity loss[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 7505805. DOI: 10.1109/LGRS.2023.3317528

■ Gu Xiaofeng, Lu Wenkai, Ao Yile, et al. Seismic stratigraphic interpretation based on deep active learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-11. DOI: 10.1109/TGRS.2023.3288737

■ Wang Qi, Wang Yuqing, Ao Yile, et al. Seismic inversion based on 2D-CNNs and domain adaption[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5921512. DOI:10.1109/TGRS.2022.3213337

■ Ma Qiming, Wang Yuqing, Ao Yile, et al. UB-Net: Improved seismic inversion based on uncertainty backpropagation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5915211. DOI:10.1109/TGRS.2022.3174911

■ Ao Yile, Lu Wenkai, Xu Pengcheng, et al. Seismic dip estimation with a domain knowledge constrained transfer learning approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 4501216. DOI:10.1109/TGRS.2021.3061438

■ Ao Yile, Lu Wenkai, Hou Qiuyuan, et al. Sequence-to-sequence borehole formation property prediction via multi-task deep networks with sparse core calibration[J]. Journal of Petroleum Science and Engineering, 2022, 208: 109637. DOI:0.1016/j.petrol.2021.109637

■ Ao Yile, Lu Wenkai, Jiang Bowu, et al. Seismic structural curvature volume extraction with convolutional neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(9): 7370-7384. DOI:10.1109/TGRS.2020.3042098

■ Ao Yile, Lu Wenkai, Hou Qiuyuan, et al. Synthesize nuclear magnetic resonance T2 spectrum from conventional logging responses with spectrum regression forest[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(10): 1726-1730. DOI:10.1109/LGRS.2020.3008183

■ Ao Yile, Zhu Liping, Guo Shuang, et al. Probabilistic logging lithology characterization with random forest probability estimation[J]. Computers & Geosciences, 2020, 144: 104556. DOI:10.1016/J.CAGEO.2020.104556

■ Ao Yile, Li Hongqi, Zhu Liping, et al. A SCiForest based semi-supervised learning method for the seismic interpretation of channel sand-body[J]. Journal of Applied Geophysics, 2019, 167: 51-62. DOI:10.1016/J.JAPPGEO.2019.04.019

■ Li Xiuquan, Ao Yile, Guo Shuang, et al. Combining regression kriging with machine learning mapping for spatial variable estimation[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 17(1): 27-31. DOI:10.1109/LGRS.2019.2914934

■ Ao Yile, Li Hongqi, Zhu Liping, et al. Logging lithology discrimination in the prototype similarity space with random forest[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 16(5): 687-691. DOI:10.1109/LGRS.2018.2882123

■ Ao Yile, Li Hongqi, Zhu Liping, et al. Identifying channel sand-body from multiple seismic attributes with an improved random forest algorithm[J]. Journal of Petroleum Science and Engineering, 2019, 173: 781-792. DOI:10.1016/J.PETROL.2018.10.048

■ Ao Yile, Li Hongqi, Zhu Liping, et al. The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling[J]. Journal of Petroleum Science and Engineering, 2019, 174: 776-789. DOI:10.1016/J.PETROL.2018.11.067

科研项目:

☆ 2025-2027: 火场多参数监测数据压缩传输与关键帧识别技术研究，国家重点研发计划（2024YFC3016202）子课题，子课题负责人。

☆ 2024-2025:  Windows平台超声图像后处理和采集软件开发，横向科研项目，项目负责人。

☆ 2023-2026: 基于多模型深度学习的智能地震反演研究，中央高校科研专项资金资助（BUCTRC02322），项目负责人。

★ 2022-2023: 基于曲面重构的智能地震层位解释方法研究，国家自然科学基金青年项目（42104117），项目负责人。

★ 2019-2024: 基于人工智能的多元信息相容性表达研究，国家重点研发计划课题（2018YFA0702501），主要参与人。

★ 2019-2023: 基于闭环卷积神经网络的测井约束地震反演，自然科学基金面上项目（41974126），主要参与人。

★ 2016-2021: 高精度参数辨识噪声压制及弱信号增强技术，国家科技重大专项（2016ZX05024-001-005），项目参与人。