A Sparse NMF-SU for Seismic Random Noise Attenuation. - Yanan Tian; Yue Li 003; Hongbo Lin; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2013)

Radial-Trace Time-Frequency Peak Filtering Based on Correlation Integral. - Chengyu Jiang; Yue Li 003; Ning Wu; Guanghai Zhuang; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

Seismic Random Noise Elimination by Adaptive Time-Frequency Peak Filtering. - Hongbo Lin; Yue Li 003; Baojun Yang; Haitao Ma 001; Chao Zhang (IEEE Geosci. Remote. Sens. Lett., 2014)

An Amplitude-Preserved Time-Frequency Peak Filtering Based on Empirical Mode Decomposition for Seismic Random Noise Reduction. - Yanping Liu; Yue Li 003; Hongbo Lin; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

Intermediate-Frequency Seismic Record Discrimination by Radial Trace Time-Frequency Filtering. - Ning Wu; Yue Li 003; Haitao Ma 001; Xuechun Xu (IEEE Geosci. Remote. Sens. Lett., 2014)

Spatiotemporal Adaptive Time-Frequency Peak Filtering for Seismic Random Noise Attenuation. - Xinhuan Deng; Haitao Ma 001; Yue Li 003; Qian Zeng; Guanghai Zhuang (IEEE Geosci. Remote. Sens. Lett., 2015)

Adaptive Fission Particle Filter for Seismic Random Noise Attenuation. - Xue Han; Hongbo Lin; Yue Li 003; Haitao Ma 001; Xian Zhao (IEEE Geosci. Remote. Sens. Lett., 2015)

Matching-Pursuit-Based Spatial-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation. - Hongbo Lin; Yue Li 003; Haitao Ma 001; Baojun Yang; Jun Dai (IEEE Geosci. Remote. Sens. Lett., 2015)

Varying-Window-Length TFPF in High-Resolution Radon Domain for Seismic Random Noise Attenuation. - Guanghai Zhuang; Yue Li 003; Yanping Liu; Hongbo Lin; Haitao Ma 001; Ning Wu (IEEE Geosci. Remote. Sens. Lett., 2015)

Nonstationary Seismic Random Noise Attenuation by EPLL. - Hongbo Lin; Haoran Xi; Yue Li 003; Haitao Ma 001 (ICIP, 2018)

A Time Picking Method for Microseismic Data Based on LLE and Improved PSO Clustering Algorithm. - Haitao Ma 001; Teng Wang 003; Yue Li 003; Yuqi Meng (IEEE Geosci. Remote. Sens. Lett., 2018)

A Patch Based Denoising Method Using Deep Convolutional Neural Network for Seismic Image. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001 (IEEE Access, 2019)

Desert Seismic Low-Frequency Noise Attenuation Based on Approximate-Message-Passing-Based Complex Diffusion. - Haitao Ma 001; Yuzhuo Wang; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2020)

Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction. - Haitao Ma 001; Jie Yan; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2020)

Deep Residual Encoder-Decoder Networks for Desert Seismic Noise Suppression. - Haitao Ma 001; Haiyang Yao; Yue Li 003; Hongzhou Wang (IEEE Geosci. Remote. Sens. Lett., 2020)

Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise Suppression. - Haitao Ma 001; Yu Sun; Ning Wu; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

DnResNeXt Network for Desert Seismic Data Denoising. - Haiyang Yao; Haitao Ma 001; Yue Li 003; Qiankun Feng (IEEE Geosci. Remote. Sens. Lett., 2022)

Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network. - Haitao Ma 001; Yuzhuo Wang; Yue Li 003; Yuxing Zhao (IEEE Trans. Geosci. Remote. Sens., 2022)

Low-Frequency Seismic Noise Reduction Based on Deep Complex Reaction-Diffusion Model. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001; Guijin Yao (IEEE Trans. Geosci. Remote. Sens., 2022)

Reinforcement Learning-Based Denoising Model for Seismic Random Noise Attenuation. - Chao Liang; Hongbo Lin; Haitao Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data. - Haitao Ma 001; Jingye Yu; Yibo Wang 002; Ning Wu; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning Gradient Descent to Optimize DAS Signal Estimation. - Haitao Ma 001; Mengyang Yuan; Ning Wu; Yue Li 003; Yanan Tian (IEEE Geosci. Remote. Sens. Lett., 2024)

Improving Distributed Acoustic Sensing Data Quality With Self-Supervised Learning. - Haitao Ma 001; Shijie Zhou; Yibo Wang 002; Ning Wu; Yue Li 003; Yanan Tian (IEEE Geosci. Remote. Sens. Lett., 2024)