2024-present

Postdoctoral Fellow

GitHub: douyimin

Email: douyimin@ustc.edu.cn

Ph.D.: Computer Technology and Resource Information Engineering, UPC (East China), 2020-2024.

Master: Computer Technology, Jinan University, 2017-2020.

Undergraduate: Environmental Engineering, Jinan University, 2013-2017.

Research: Multimodal foundation model, structural modeling, seismic interpretation, seismic data processing.

Bio: 窦一民，2024年6月获得计算机技术与资源信息工程博士学位，并于7月以博后研究员身份加入地空学院伍新明教授课题组，主要致力于人工智能与地球物理的交叉应用研究，在智能化地质解释、反演和地震数据处理等方面取得了一系列创新性成果，以第一作者发表中科院一区SCI论文6篇，第一作者或通讯作者发表中科院二区SCI论文两篇，多个成果开源后转化为软件模块被广泛应用于Geoplat和OpendTect等国际油气勘探开发软件中。担任Geophysics、IEEE TGRS和JGE等多个领域重要期刊审稿人。

Projects

2. 国家重点研发计划“泛在振动传感智能化地震预警技术研究及示范应用”，主持“地震预警多模态交互引擎构建”专题，42万元，2024.12-
1. 安徽省自然科学基金青年项目，项目负责人，基于扩散生成式AI的多模态交互三维地质构造建模方法研究，8万元，2024.09-2026.09

Publication

8. Y. Dou., K. Li*. 2024. 3D seismic Fault Detection via Contrastive-Reconstruction Representation Learning, Expert Systems with Applications, 2024, Volume 249, Part B, doi: doi.org/10.1016/j.eswa.2024.123617.

7. Y. Dou, K. Li* and W. Lv, et al. 2024. ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024, Art no. 5917613, doi: 10.1109/TGRS.2024.3410022

6. Y. Dou, K. Li*. 2024. 3D seismic mask auto encoder: Seismic inversion using transformer-based reconstruction representation learning. Computers and Geotechnics, 169: 106194. doi: doi.org/10.1016/j.compgeo.2024.106194.

5. Y. Dou, K. Li*, Dong M, et al. 2024. FaultSSL: Seismic fault detection via semisupervised learning[J]. Geophysics, 2024, 89(3): M79-M91.

4. Y. Dou, K. Li*, H. Duan, et al. 2023. MDA GAN: Adversarial-Learning-Based 3-D Seismic Data Interpolation and Reconstruction for Complex Missing. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5905014, doi: 10.1109/TGRS.2023.3249476

3. Li K, Dou Y*, Xiao Y, et al. 2023. TransInver: 3D data-driven seismic inversion based on self-attention[J]. Geophysics, 2024, 89(1): WA127-WA141.

2. Y. Dou, K. Li*, J. Zhu, et al.2022. MD Loss: Efficient Training of 3-D Seismic Fault Segmentation Network Under Sparse Labels by Weakening Anomaly Annotation. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5919014, doi: 10.1109/TGRS.2022.3196810.

1. Y. Dou, K. Li*, J. Zhu, X. Li and Y. Xi. 2021. Attention-Based 3-D Seismic Fault Segmentation Training by a Few 2-D Slice Labels. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5906715, doi: 10.1109/TGRS.2021.3113676

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