Multitask Learning for Super-Resolution of Seismic Velocity Model. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2021)

EMRNet: End-to-End Electrical Model Restoration Network. - Zhuo Jia; Yinshuo Li; Wenkai Lu; Ling Zhang 006; Patrice Monkam (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Deep Learning for 3D Gravity Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2022)

Super-Resolution of Seismic Velocity Model Guided by Seismic Data. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (CoRR, 2023)

Seismic Stratigraphic Interpretation Based on Deep Active Learning. - Xiaofeng Gu 003; Wenkai Lu; Yile Ao; Yinshuo Li; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2023)

Semi-Supervised Seismic Stratigraphic Interpretation Constrained by Spatial Structure. - Xiaofeng Gu 003; Wenkai Lu; Yinshuo Li; Yonghao Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Learning for 3-D Magnetic Inversion. - Zhuo Jia; Yinshuo Li; Yonghao Wang; Yang Li; Songbai Jin; Yuxuan Li; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2023)

Magnetotelluric Closed-Loop Inversion. - Zhuo Jia; Yonghao Wang; Yinshuo Li; Chenyang Xu; Xu Wang; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatial Pattern Learning: Dip Structure Constraint Multi-View Convolutional Neural Network for Pre-Stacked Seismic Inversion. - Cao Song; Minghui Lu; Yinshuo Li; Wenkai Lu; Xinhai Hu; Jianyong Song; Gang Chen; Tinming Tang (IEEE Trans. Geosci. Remote. Sens., 2023)

A Self-Adaptive Antialiasing Framework for Seismic Data Interpolation. - Yuqing Wang 001; Wenkai Lu; Yinshuo Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (IEEE Geosci. Remote. Sens. Lett., 2024)

Seismic Stratigraphic Interpretation Based on Unsupervised Validation and Spectral Clustering Sampling. - Jianyu Luo; Xiaofeng Gu 003; Wenkai Lu; Yinshuo Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dual-Attention-Based Wavelet Integrated CNN Constrained via Stochastic Structural Similarity for Seismic Data Reconstruction. - Wei Cao 014; Wenkai Lu; Ying Shi 002; Yinshuo Li; Yonghao Wang; Songling Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Reconstruct 3-D Seismic Data With Randomly Missing Traces via Fast Self-Supervised Deep Learning. - Yinshuo Li; Wei Cao 014; Wenkai Lu; Xiaogang Huang; Jicai Ding; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Learning Inversion for Multivariate Magnetic Data. - Xiaoqing Shi; Zhuo Jia; Hua Geng; Shuang Liu 008; Yinshuo Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Evolution Inversion: Co-Evolution of Model and Data for Seismic Reservoir Parameters Inversion. - Cao Song; Minghui Lu; Wenkai Lu; Weiheng Geng; Yinshuo Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Semi-Supervised W-KAN for Regularly Missing Seismic Data Reconstruction. - Wei Cao 014; Wenkai Lu; Yinshuo Li (IEEE Geosci. Remote. Sens. Lett., 2025)

Physics-Inspired Neural Network for Joint Inversion of Multialtitude 3-D Gravity and Vertical Gradient. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2025)