Postdoctoral Scholar, |
Currently, I am a postdoctoral scholar in the Department of Earth, Atmospheric, and Planetary Sciences, Purdue University.
Before that, I got my B.Sc. degree in the School of Information Engineering in June 2013 from Chang'an University. In 2015, I was admitted to study for a M.Sc degree in Xi'an Jiaotong University. Following that, I obtained master degree and PhD degree in 2018 and 2022, respectively.
Research Interests: Neural Networks, Tensor Decomposition, Seismic Data Processing, Time-frequency analysis.
Ph.D. Student Xi'an Jiaotong University (2018.9 ~ 2022.9)
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Joint Training Ph.D. Student University of Alberta (2020.1 ~ 2022.9)
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Master Student Xi'an Jiaotong University (2015.9 ~ 2018.9)
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Undergraduate Chang'an University (2009.9 ~ 2013.7)
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Postdoctoral Fellow University of Alberta (2023.11 ~ present)
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Postdoctoral Scholar Purdue University (2022.10 ~ 2023.11)
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Employee BYD Company (2013.7 ~ 2015.7)
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5D Seismic Data Interpolation by Continuous Representation
Dawei Liu, Wenbin Gao, Weiwei Xu, Ji Li, Xiaokai Wang, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 61, (2024): 1-13. [PDF]
Seismic Data Separation Based on the Equidistant-Spectral Constrained Morphological Component Analysis
Xiaokai Wang, Chunmeng Cui, Dawei Liu, Pu Liu, Zhensheng Shi, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, (2024): 1-12. [PDF]
Enhancing Ground-Penetrating Radar (GPR) Data Resolution Through Weakly Supervised Learning
Dawei Liu, Mei Zhou, Xiaokai Wang, Mauricio D. Sacchi, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, (2024): 1-13. [PDF]
Robust unsupervised 5D seismic data reconstruction on both regular and irregular grid
Ji Li, Dawei Liu* , Daniel Trad and Mauricio Sacchi
Geophysics, 0, (2024): 1-86. [PDF]
Modeling and sparsity-promoting separation of wind turbine noise in common-shot gathers
Yanglijiang Hu, Xiaokai Wang, Qinlong Hou, Dawei Liu , Xinmin Shang, Meng Zhang, and Wenchao Chen
Geophysics, 0, (2024): 1-87. [PDF]
Robust Seismic data denoising via self-supervised deep learning
Ji Li, Daniel Trad and Dawei Liu*
Geophysics, 0, (2024): 1-109. [PDF] [Code]
Robust multi-dimensional reconstruction via Group Sparsity with Radon operators
Ji Li and Dawei Liu*
Geophysics, 0, (2024): 1-87. [PDF]
Unsupervised Deep Learning for Ground Roll and Scattered Noise Attenuation
Dawei Liu, Mauricio D. Sacchi, Xiaokai Wang, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 61, (2023): 1-13. [PDF]
Improving vertical resolution of vintage seismic data by a weakly supervised method based on Cycle GAN
Dawei Liu, Wenli Niu, Xiaokai Wang, Mauricio D. Sacchi, Wenchao Chen, and Cheng Wang
Geophysics, 88, (2023): 1-103. [PDF]
A self-supervised method using noise2Noise strategy for denoising CRP gathers
Xiaokai Wang, Siyuan Fan, Chen Zhao, Dawei Liu, and Wenchao Chen
IEEE Geoscience and Remote Sensing Letters (GRSL), Accepted, (2023).[PDF]
Improving sparse representation with deep learning: a workflow for separating strong background interference
Dawei Liu, Wei Wang, Xiaokai Wang, Zhensheng Shi, Mauricio Sacchi, and Wenchao Chen
Geophysics, 88, (2022): WA253-WA266.[PDF]
Accelerating seismic scattered noise attenuation in OVT domain: application of deep learning
Dawei Liu, Xiaokai Wang, Xiaohai wang, Haibo Mao, Mauricio Sacchi, and Wenchao Chen
Geophysics, 87, (2022): V505-V519.[PDF]
Efficient tensor completion methods for 5D seismic data reconstruction: Low-rank tensor train and tensor ring
Dawei Liu*, Mauricio Sacchi, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 60, (2022): 1-17.[PDF]
Separation of seismic multiple reflection-refraction based on morphological component analysis with high-resolution linear Radon transform
Dawei Liu, Haoqi Zhang, Xiaokai Wang, Wenchao Chen, Zhensheng Shi, and Zhonghua Zhao
Geophysics, 87, (2022): V367-V379.[PDF]
Eliminating harmonic noise in vibroseis data through sparsity promoted waveform modeling
Dawei Liu, Xiangfang Li, Wei Wang, Xiaokai Wang, Zhensheng Shi, and Wenchao Chen
Geophysics, 86, no. 3 (2022): V183-V191.[PDF]
Seismic Intelligent Deblending via Plug and Play Method With Blended CSGs Trained Deep CNN Gaussian Denoiser
Weiwei Xu, Yanhui Zhou, Dawei Liu, Xiaokai Wang, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 60, pp. 1-13, 2022.
A common-reflection-point gather random noise attenuation method based on the synchrosqueezing wavelet transform
Xiaokai Wang,, Zhizhou Huo, Dawei Liu, Weiwei Xu, and Wenchao Chen
Interpretation, 10, no. 1 (2021): 1-81.
Accelerating seismic dip estimation with deep learning
Xiaokai Wang, Dawei Liu*, and Wenchao Chen
IEEE Geoscience and Remote Sensing Letters (GRSL), Accepted, 2021.[PDF]
A dictionary learning method with atom splitting for seismic footprint suppression
Dawei Liu, Lei Gao, Xiaokai Wang, and Wenchao Chen
Geophysics, 86, no. 6 (2021): V509-V523.[PDF]
Attenuation of the Multiple Reflection-Refraction in 2-D Common-Shot Gather via Random-Derangement-Based FX Cadzow Filter
Yanglijiang Hu, Dawei Liu, Xiaokai Wang, Zhonghua Zhao, and Wenchao Chen
IEEE Geoscience and Remote Sensing Letters (GRSL), Accepted, 2021.[PDF]
Unsupervised noise suppression method for depth network seismic data based on prior information constraint
Wenchao Chen, Dawei Liu, Xinjian Wei, Xiaokai Wang, Dewu Chen, Shuping Li, and Dong Li
Coal Geoplogy & Exploaration, 49, no. 1 (2021): 249-256.[PDF]
An Unsupervised Deep Learning Method for Denoising Prestack Random Noise
Dawei Liu, Zheyuan Deng, Cheng Wang, Xiaokai Wang, and Wenchao Chen
IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 19, pp. 1-5, 2022.[PDF]
Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network
Dawei Liu, Wei Wang, Xiaokai Wang, Cheng Wang, Jiangyun Pei, and Wenchao Chen
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 58, no. 3 (2019): 1598-1629.[PDF]
Denoising prestack random noise with deep generative prior
Wenbin Gao, Liu, Dawei, Xiaokai Wang, Zhensheng Shi, and Wenchao Chen
7th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 262-265, 2022.
A weakly supervised method for improving the resolution of seismic data based on cycle generative adversarial network
Wenli Niu, Yanhui Zhou, Xiaokai Wang, Zhensheng Shi, Cheng Wang, Liu, Dawei, and Wenchao Chen
SEG Global Meeting Abstracts, pp. 29-32, 2022.
Deep learning for prestack strong scattered noise suppression
Dawei Liu, Xiaohai Yang, Xiaokai Wang, Haibo Mao, Mauricio D. Sacchi, and Wenchao Chen
First International Meeting for Applied Geoscience & Energy (SEG), pp. 1601-1605. Society of Exploration Geophysicists, 2021.
[PDF]
Attenuation of multiple reflection-refraction in tau-p domain via morphological component analysis
Haoqi Zhang, Dawei Liu, Xiaokai Wang, and Wenchao Chen
First International Meeting for Applied Geoscience & Energy (SEG), pp. 2974-2978. Society of Exploration Geophysicists, 2021.
Adaptive DAS coupling noise suppression based on local MCA
Qinlong Hou, Dawei Liu, Xiaokai Wang, and Wenchao Chen
First International Meeting for Applied Geoscience & Energy (SEG), pp. 2979-2983. Society of Exploration Geophysicists, 2021.
Acoustic Impedance Contrast Inversion with Multiplicative Regularization
Kangkang Guo, Jingye Li, Xiaohong Li, Dawei Liu, and Xingye Liu
European Association of Geoscientists & Engineers (EAGE), pp. 1-5, 2021.
Seismic Simultaneous Source Separation via an unsupervised deep learning method
Weiwei xu, Yanhui Zhou, Dawei Liu, and Wenchao Chen
European Association of Geoscientists & Engineers (EAGE), pp. 1-5, 2021.
Prestack seismic noise attenuation based on 3D CWT
Chen Zhao, Li Jiang, Xiaokai Wang, Dawei Liu, Zhensheng Shi, and Wenchao Chen
First International Meeting for Applied Geoscience & Energy (SEG), pp. 2834-2838. Society of Exploration Geophysicists, 2021.
Should we have labels for deep learning ground roll attenuation?
Dawei Liu, Wenchao Chen, Mauricio D. Sacchi, and Hongxu Wang
SEG Technical Program Expanded Abstracts 2020, pp. 3239-3243. Society of Exploration Geophysicists (SEG), 2020.
[PDF]
Must we have labels for denoising seismic data based on deep learning?
Dawei Liu, Zheyuan Deng, Xiaokai Wang, Wei Wang, Zhensheng Shi, Cheng Wang, and Wenchao Chen
SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing, China, 5-7 November 2019, pp. 31-35. Society of Exploration Geophysicists (SEG), 2020.
[PDF]
A convolutional neural network for seismic dip estimation
Dawei Liu, Xiaokai Wang, Zhensheng Shi, Yanhui Zhou, and Wenchao Chen
SEG Technical Program Expanded Abstracts 2019, pp. 2634-2638. Society of Exploration Geophysicists (SEG), 2019.
[PDF]
3D seismic waveform of channels extraction by artificial intelligence
Dawei Liu, Xiaokai Wang, Wenchao Chen, Yanhui Zhou, Wei Wang, Zhensheng Shi, Cheng Wang, and Chunlin Xie
SEG Technical Program Expanded Abstracts 2019, pp. 2518-2522. Society of Exploration Geophysicists (SEG), 2019.
[PDF]
Random noise attenuation method for seismic data based on deep residual networks
Zhang, Fen, Dawei Liu, Xiaokai Wang, Wenchao Chen, and Wei Wang
International Geophysical Conference, Beijing, China, 24-27 April 2018, pp. 1774-1777. Society of Exploration Geophysicists and Chinese Petroleum Society, 2018.
The analysis of space dimensionality reduction error in SVD filtering algorithm with application to VSP wavefield separation
Chen, Jianyou, Yuefeng Pang, Wenchao Chen, Lei Gao, Dawei Liu
International Geophysical Conference, Beijing, China, 24-27 April 2018, pp. 324-327. Society of Exploration Geophysicists and Chinese Petroleum Society, 2018.
Three-dimensional seismic texture attributes analysis based on removed strong background noise
Chi, Siqi, Wenchao Chen, Lu Zhang, Dawei Liu, Jianyou Chan
International Geophysical Conference, Beijing, China, 24-27 April 2018, pp. 418-421. Society of Exploration Geophysicists and Chinese Petroleum Society, 2018.
Random noise suppression in seismic data: What can deep learning do?
Dawei Liu, Wei Wang, Wenchao Chen, Xiaokai Wang, Yanhui Zhou, and Zhensheng Shi
SEG Technical Program Expanded Abstracts 2018, pp. 2016-2020. Society of Exploration Geophysicists (SEG), 2018.
[PDF]
A method of collecting footprints and pressing based on morphological component analysis
Wenchao Chen, Wei Wang, Dawei Liu, Zhensheng Shi, Jianyou Chen, Yuefeng Pang, Lisan Li
China Invention Patent, Publication number: CN109782346A
A sparse optimization method for suppressing strong shielding interference of seismic data
Wenchao Chen, Wei Wang, Xiaokai Wang, Jiangli Lei, Jianyou Chen, Dawei Liu, Yun Xu
China Invention Patent, Publication number: CN107356967A
An amplitude spectrum method for automatically calculating the intensity of coupling noise of optical cable in seismic data
Wenchao Chen, Jianyou Chen, Zhensheng Shi, Xiaokai Wang, Dawei Liu, Sang Guo, Xin Chen
China Invention Patent, Publication number: CN107436451A
Research on multi-scale intelligent frequency extension method of post stack seismic data
Main Project Participant;
CNPC Research Institute of science and Technology Co., Ltd
Research on intelligent 3D random noise suppression
Main Project Participant;
Northwest Branch of exploration and Development Research Institute of CNPC
Research on Intelligent denoising method of 3D post stack seismic data based on similar area of stratigraphic structure
Main Project Participant;
PetroChina Xinjiang Oilfield Company
Research and application of AI prestack noise suppression method for high density seismic data
Main Project Participant;
PetroChina Xinjiang Oilfield Company