Dawei Liu (刘达伟)

Postdoctoral Scholar, Seismic Data Processing, Department of Physics , University of Alberta, 116 St & 85 Ave, Edmonton, Canada. News | About me | Educations | Work experience | Publications | Conferences | Patents | Projects Phone: +1 4752438624 Email: liu3599 (AT) prudue.edu [CV] [Google Scholar] [Researchgate] [GitHub] [QQ] [WeChat][WhatsApp][Tools] [中文主页]

News

• [2024.07] Our new application of deep learning for resolution enhancement is submitted to Geophysics

• [2024.07] Our new application of unsupervised deep learning for 5D reconstruction is accepted by TGRS

• [2024.06] Our new model-driven method for erratic noise attenuation is accepted by Geophysics

• [2024.06] Our new application of deep learning for 5D reconstruction is accepted by Geophysics

• [2024.05] Our new application of deep learning for GPR resolution improvement is accepted by TGRS

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) Major: Information and Communication Engineering, Faculty of Electronic and Information Engineering Supervisor: Wenchao Chen Awards and Honors: National Award scholarship (Oct, 2020), First prize of Academic Scholarship (Sep, 2021), Academic Scholarship (Sep, 2019)

Joint Training Ph.D. Student University of Alberta (2020.1 ~ 2022.9) Major: Geophysics, Physics Department Supervisor: Mauricio D. Sacchi

Master Student Xi'an Jiaotong University (2015.9 ~ 2018.9) Major: Electronic and Communication Engineering, School of Electronic and Information Engineering Supervisor: Wenchao Chen Awards and Honors: Outstanding Postgraduate Cadre (Sep, 2016)

Undergraduate Chang'an University (2009.9 ~ 2013.7) Major: Communication Engineering, School of Information Engineering Awards and Honors: Outstanding graduates (Jun, 2013), Outstanding Postgraduate Cadre (May, 2012)

Postdoctoral Fellow University of Alberta (2023.11 ~ present) Research interest: Seismic Processing Supervisor: Mauricio D. Sacchi

Postdoctoral Scholar Purdue University (2022.10 ~ 2023.11) Research interest: DAS Supervisor: Yunyue Elita Li

Employee BYD Company (2013.7 ~ 2015.7) Major responsibility: Vehicle bus engineer

• Adaptive Dictionary Identification Framework and Its Application to Sparsity-Optimized Harmonic Noise Separation
  Yanglijiang Hu, Weiwei Xu, Xiaokai Wang, Dawei Liu, and Wenchao Chen
  Geophysics, 0, (2024): 1–107. [PDF]

• Unsupervised Ground Roll Attenuation via Implicit Neural Representations
  Ji Li, Dawei Liu*, and Mauricio Sacchi
  Geophysics, 0, (2024): 1–107. [PDF]

• Intelligent Noise Suppression for 3D Post-Stack Seismic Data of the Junggar Basin
  Haibo Mao, Xin Zhou, Xiaofeng Li, Long Pan, Juan Lin, Dawei Liu, and Xiaokai Wang
  Coal Geology and Exploration, 52(11), (2024): 141–150.

• NeRSI: Neural Implicit Representations for 5D Seismic Data Interpolation
  Wenbin Gao, Dawei Liu*, Wenchao Chen, Mauricio D. Sacchi, and Xiaokai Wang
  Geophysics, 0, (2024): 1–58. [PDF]

• A Cascaded Synchrosqueezing Transform for Precise Analysis of Seismic Signals
  Xiaokai Wang, Dawei Liu, Wenchao Chen, and Chun Li
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, (2024): 1–12. [PDF]

• 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, 89, (2024): V537-V549. [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, 89, (2024):V87–V101. [PDF]

• Robust Seismic data denoising via self-supervised deep learning
  Ji Li, Daniel Trad and Dawei Liu*
  Geophysics, 89, (2024): V437-V451. [PDF] [Code]

• Robust multi-dimensional reconstruction via Group Sparsity with Radon operators
  Ji Li and Dawei Liu*
  Geophysics, 89, (2024): V219–V230. [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), 20, (2023): pp. 1-5.[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, (2022): pp. 1-13.

• 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), 19, (2021): pp. 1-5.[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), 19, (2022): pp. 1-5.[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), 19, (2022): pp. 1-5.[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.