Dawei Liu (刘达伟)

Researcher, School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China. 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

• [2026.03] Our paper "STISR: A Stacked Tucker Implicit Seismic Reparameterization Framework for 3D Seismic Data Denoising" has been accepted by Petroleum Science, with Qingfang Wang, a Ph.D. student, as the first author.

• [2025.11] I have an opening for a Ph.D. student starting in Fall 2026. Welcome to contact me for more information.

• [2025.05] I accepted a researcher position at Xi'an Jiaotong University.

• [2025.02] Our new applications of deep learning for seismic resolution improvement are accepted by Geophysics

• [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

I returned to Xi'an Jiaotong University in January 2026 and currently serve as a Researcher in the School of Information and Communications Engineering.

Previously, I received my Ph.D. from Xi'an Jiaotong University in 2022 and then held postdoctoral positions at the University of Alberta and Purdue University. To date, I have published 36 SCI-indexed papers. I serve as an Associate Editor of Geophysics and the Journal of Geophysical Prospecting, a Young Editorial Board Member of China Petroleum Exploration, Energy Geoscience, and Oil Geophysical Prospecting, and have served as the IMAGE technical area chair at the SEG Annual Meeting (2023, 2024) and as a reviewer (2025, 2026). I am also an editor of Earth Sciences and a guest editor of Frontiers in Earth Science.

Research Areas

Our group focuses on the frontier interdisciplinary direction of "AI + Geophysics" and is committed to using the latest AI technologies to solve core scientific problems in deep Earth exploration. Our current research includes:

• 🔥 Generative AI (diffusion models, GANs, and flow models) for innovative applications in scientific data modeling and inversion
• 🔥 Self-supervised and zero-shot deep learning, together with neural implicit representations, for intelligent signal processing under severe label scarcity
• 🧮 High-dimensional tensor computing and compressed sensing, leveraging modern mathematical tools for efficient processing of massive geophysical datasets
• 🌍 Multimodal intelligent sensing for the fusion and interpretation of seismic, DAS fiber-optic, ground-penetrating radar, borehole imaging, and other heterogeneous data
• 💻 High-performance scientific computing to support large-scale inversion and imaging algorithm design

Students with backgrounds in information and communication engineering, electronic science and technology, computer science, mathematics, geophysics, and related fields are welcome to join us.

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: Social Scholarship (Jun, 2013; ranked first in both comprehensive evaluation and major performance), University-level Outstanding Communist Party Member (Jun, 2012), Outstanding Graduate (Jun, 2013), Outstanding Student Cadre (May, 2012)

Researcher Xi'an Jiaotong University (2026.1 ~ present) Affiliation: School of Information and Communications Engineering Research interest: AI for Geophysics

Postdoctoral Fellow University of Alberta (2023.11 ~ 2025.12) 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

• Zero-Shot Denoising for DAS-VSP Data Based on Conditional Diffusion Probabilistic Models
  Dawei Liu, Zhenyu Wang, Xiaokai Wang, and Wenchao Chen
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 63, (2025): 1-11. [PDF]

• Unsupervised Diffusion Model for Seismic Deconvolution
  Hongzhi Yu, Xiaokai Wang, Wenchao Chen, and Dawei Liu*
  IEEE Geoscience and Remote Sensing Letters (GRSL), 22, (2025): pp. 1-5. [PDF]

• Rapid Retrieval and Classification of Passive-Source Body Wave Events Using a Convolutional Self-Attention Encoder: Application to Gas Storage Monitoring
  Yinghe Wu, Shulin Pan, Dawei Liu, Kai Chen, Yaojie Chen, Ziyu Qin, Shengbo Yi, and Zeyang Liu
  Geophysics, 90(3), (2025): 1-86.

• CycleGAN Integration of High-Resolution Crooked Lines into 3D Seismic Volumes: Enhancing Dataset Resolution on the Loess Plateau, China
  Dawei Liu, Yijie He, Xiaokai Wang, Mauricio D. Sacchi, Wenchao Chen, , Fei Li, Juan Chen, and Yang Mu
  Geophysics, 90(3), (2025): V339-V356. [PDF]

• Non-Intrusive Reduced Basis Approximation to the Solution of Helmholtz Equation: The Magnetotellurics Case
  Alejandro Quiaro, Dawei Liu, and Mauricio D. Sacchi
  Geophysics, 90(3), (2025): WA323-WA337. [PDF]

• Filling the Gap: Enhancing Borehole Imaging with Tensor Neural Network
  Dawei Liu, Qingfang Wang, Nan You, Mauricio D. Sacchi, and Wenchao Chen
  Geophysics, 90(3), (2025): D71-D83. [PDF]

• From Shallow to Deep: Enhancing Seismic Resolution with Weak Supervision
  Dawei Liu, Yijie He, Xiaokai Wang, Mauricio D. Sacchi, Wenchao Chen, Guanghong Du, and Mengbo Zhang
  Geophysics, 90(3), (2025): V223-V239. [PDF]

• NeRSI: Neural Implicit Representations for 5D Seismic Data Interpolation
  Wenbin Gao, Dawei Liu*, Wenchao Chen, Mauricio D. Sacchi, and Xiaokai Wang
  Geophysics, 90(1), (2025): V29–V42. [PDF]

• Unsupervised Ground Roll Attenuation via Implicit Neural Representations
  Ji Li, Dawei Liu*, and Mauricio Sacchi
  Geophysics, 90(2), (2025): V101–V111. [PDF]

• 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, 90(2), (2025): V161-V177. [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 (CGE), 52(11), (2024): 141–150. [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]

• The Broadband Virtual Shot Gathers Construction Based on High-Speed Train-Induced Seismic Wave
  Xiaokai Wang, Shengpei Xia, Xinyue Pan, Baoli Wang, Dawei Liu, and Wenchao Chen
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, (2024): 1-12. [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.