Yinshuo Li

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Physics-Inspired Neural Network for Joint Inversion of Multialtitude 3-D Gravity and Vertical Gradient.
IEEE Trans. Geosci. Remote. Sens.
Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song
2025 J jnl
Semi-Supervised W-KAN for Regularly Missing Seismic Data Reconstruction.
IEEE Geosci. Remote. Sens. Lett.
Wei Cao, Wenkai Lu, Yinshuo Li
2024 J jnl
Deep Learning Inversion for Multivariate Magnetic Data.
IEEE Trans. Geosci. Remote. Sens.
Xiaoqing Shi, Zhuo Jia, Hua Geng, Shuang Liu, Yinshuo Li
2024 J jnl
Dual-Attention-Based Wavelet Integrated CNN Constrained via Stochastic Structural Similarity for Seismic Data Reconstruction.
IEEE Trans. Geosci. Remote. Sens.
Wei Cao, Wenkai Lu, Ying Shi, Yinshuo Li, Yonghao Wang, Songling Li
2024 J jnl
Evolution Inversion: Co-Evolution of Model and Data for Seismic Reservoir Parameters Inversion.
IEEE Trans. Geosci. Remote. Sens.
Cao Song, Minghui Lu, Wenkai Lu, Weiheng Geng, Yinshuo Li
2024 J jnl
Reconstruct 3-D Seismic Data With Randomly Missing Traces via Fast Self-Supervised Deep Learning.
IEEE Trans. Geosci. Remote. Sens.
Yinshuo Li, Wei Cao, Wenkai Lu, Xiaogang Huang, Jicai Ding, Cao Song
2024 J jnl
Seismic Stratigraphic Interpretation Based on Unsupervised Validation and Spectral Clustering Sampling.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jianyu Luo, Xiaofeng Gu, Wenkai Lu, Yinshuo Li
2024 J jnl
Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion.
IEEE Geosci. Remote. Sens. Lett.
Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song
2023 J jnl
A Self-Adaptive Antialiasing Framework for Seismic Data Interpolation.
IEEE Trans. Geosci. Remote. Sens.
Yuqing Wang, Wenkai Lu, Yinshuo Li
2023 J jnl
Deep Learning for 3-D Magnetic Inversion.
IEEE Trans. Geosci. Remote. Sens.
Zhuo Jia, Yinshuo Li, Yonghao Wang, Yang Li, Songbai Jin, Yuxuan Li, Wenkai Lu
2023 J jnl
Magnetotelluric Closed-Loop Inversion.
IEEE Trans. Geosci. Remote. Sens.
Zhuo Jia, Yonghao Wang, Yinshuo Li, Chenyang Xu, Xu Wang, Wenkai Lu
2023 J jnl
Seismic Stratigraphic Interpretation Based on Deep Active Learning.
IEEE Trans. Geosci. Remote. Sens.
Xiaofeng Gu, Wenkai Lu, Yile Ao, Yinshuo Li, Cao Song
2023 J jnl
Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion.
CoRR
Yinshuo Li, Zhuo Jia, Wenkai Lu, Cao Song
2023 J jnl
Semi-Supervised Seismic Stratigraphic Interpretation Constrained by Spatial Structure.
IEEE Trans. Geosci. Remote. Sens.
Xiaofeng Gu, Wenkai Lu, Yinshuo Li, Yonghao Wang
2023 J jnl
Spatial Pattern Learning: Dip Structure Constraint Multi-View Convolutional Neural Network for Pre-Stacked Seismic Inversion.
IEEE Trans. Geosci. Remote. Sens.
Cao Song, Minghui Lu, Yinshuo Li, Wenkai Lu, Xinhai Hu, Jianyong Song, Gang Chen, Tinming Tang
2022 J jnl
EMRNet: End-to-End Electrical Model Restoration Network.
IEEE Trans. Geosci. Remote. Sens.
Zhuo Jia, Yinshuo Li, Wenkai Lu, Ling Zhang, Patrice Monkam
2022 J jnl
Self-Supervised Deep Learning for 3D Gravity Inversion.
IEEE Trans. Geosci. Remote. Sens.
Yinshuo Li, Zhuo Jia, Wenkai Lu
2022 J jnl
Super-Resolution of Seismic Velocity Model Guided by Seismic Data.
IEEE Trans. Geosci. Remote. Sens.
Yinshuo Li, Jianyong Song, Wenkai Lu, Patrice Monkam, Yile Ao
2021 J jnl
Multitask Learning for Super-Resolution of Seismic Velocity Model.
IEEE Trans. Geosci. Remote. Sens.
Yinshuo Li, Jianyong Song, Wenkai Lu, Patrice Monkam, Yile Ao