杨芳舒 - 哈尔滨工业大学（威海）

个人简介

杨芳舒，女，博士，哈尔滨工业大学（威海）数学系，讲师工作经历哈尔滨工业大学（威海）数学系讲师 2021.12-至今教育经历 2015.09-2021.11 数学哈尔滨工业大学理学博士 2018.10-2020.09 应用数学瑞士洛桑联邦理工大学（EPFL）联合培养博士 2010.09-2014.06 信息与计算科学山东科技大学理学学士

研究领域

1. 基于深度学习的地球物理反演与成像：利用深度学习的“黑箱子”潜力，辅助解决传统地球物理反演与成像的瓶颈难题，实现数据-模型联合驱动的智能反演。 2. 基于深度学习的反问题正则化：结合传统正则化约束反问题求解算法，利用深度学习技术提升正则化约束能力，进一步提高最优解的性能。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

P Sun, F Yang (CA), H Liang, J Ma, Full-waveform inversion using a learned regularization, IEEE Transactions on Geoscience and Remote Sensing, 2023. F Yang, J Ma, FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network, Journal of Geophysical Research: Solid Earth, 2023, e2022JB025493. F Yang, J Ma, Wasserstein distance-based full-waveform inversion with a regularizer powered by learned gradient, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-13. J Rao, F Yang, H Mo, S Kollmannsberger, E Rank, Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion, Journal of Sound and Vibration, 2023, 542: 117418. H Sun, F Yang, J Ma. Seismic random noise attenuation via self-supervised transfer learning. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. F Yang, T A Pham, N Brandenberg, M P Lütolf, J Ma, M Unser. Robust phase unwrapping via deep image prior for quantitative phase imaging. IEEE Transactions on Image Processing, 2021, 30: 7025-7037. F Yang, T A Pham, H Gupta, M Unser, J Ma. Deep-learning projector for optical diffraction tomography. Optics Express, 2020, 28(3): 3905-3921. F Yang, J Ma. Deep-learning inversion: A next-generation seismic velocity model building method. Geophysics, 2019, 84(4): R583-R599.