研究员 信息与通信工程学院, 西安交通大学, 西安, 陕西, 710049, 中国 手机: +86 137 **** 5155 邮箱: liudawei2015 (AT) stu.xjtu.edu.cn [我的简历] [Google Scholar] [Researchgate] [GitHub] [知乎] [QQ] [微信][常用工具] [English Page]

消息专栏

• 2026-03-19 — 恭喜博士生王庆芳的论文《STISR: A Stacked Tucker Implicit Seismic Reparameterization Framework for 3D Seismic Data Denoising》被 Petroleum Science 录用。
• 2025-11-01 — 招收博士生（2026年秋季入学）： 现有 1 名博士生名额，欢迎有意者通过上方邮箱或微信联系报考。
• 2025-05-01 — 已接受西安交通大学信息与通信工程学院研究员岗位，入选“青年拔尖人才计划”，欢迎通过微信或电子邮件联系交流合作事宜。
• 2025-06-15 — 论文《Zero-Shot Denoising for DAS-VSP Data Based on Conditional Diffusion Probabilistic Models》发表于 IEEE TGRS。[PDF]

关于我

我于 2026 年 1 月回到西安交通大学开展教学科研工作，现任西安交通大学信息与通信工程学院研究员。此前，我于 2022 年在西安交通大学获得博士学位，并先后在阿尔伯塔大学（University of Alberta）和普渡大学（Purdue University）从事博士后研究工作。目前已发表 SCI 论文 40 篇，现任《Geophysics》副主编、《Journal of Geophysical Prospecting》副主编、《Earth Sciences》编辑，以及《Frontiers in Earth Science》客座编辑；同时担任《中国石油勘探》、《Energy Geoscience》、《石油物探》青年编委，并曾任 SEG 年会 IMAGE 技术领域主席（2023、2024）及审稿人（2025、2026）等。

研究领域

我们课题组聚焦 "AI + 地球物理" 这一前沿交叉方向，致力于用最新的人工智能技术解决地球深部探测中的核心科学问题。具体包括：

• 🔥 生成式AI（扩散模型、GAN、流模型）在科学数据建模与反演中的创新应用
• 🔥 自监督/零样本深度学习与神经隐式表示，突破标签稀缺瓶颈的智能信号处理
• 🧮 高维张量计算与压缩感知，结合最新数学工具高效处理海量地球物理数据
• 🌍 多模态智能感知，面向地震、DAS光纤、探地雷达、井孔成像等多源数据的融合与智能解译
• 💻 高性能科学计算，支撑大规模反演与成像算法设计

欢迎信息与通信工程、电子科学与技术、计算机科学、数学、地球物理等相关专业背景的同学加入！

教育经历

博士研究生 西安交通大学 (2018.9 ~ 2022.9)[毕业论文][答辩PPT] 院系专业: 电子与信息学部, 信息与通信工程 奖励荣誉: 国奖奖学金(2020.10)、学业奖学金一等奖(2021.9)、学业奖学金(2019.9)

联合培养博士研究生 阿尔伯塔大学 (2020.1 ~ 2022.9) 院系专业: 物理系, 地球物理 导师: Mauricio D. Sacchi

硕士研究生 西安交通大学 (2015.9 ~ 2018.7) 考研至西安交通大学(397分，初试成绩专业第一) 院系专业: 电子与信息工程学院, 电子与通信工程 奖励荣誉: 优秀共产党员(2019.9)、优秀学生干部(2019.8)

本科 长安大学 (2009.9 ~ 2013.7) 院系专业: 信息工程学院, 通信工程 奖励荣誉:校级优秀共产党员(2012.6)、 大三综测第一获社会奖学金(2013.6)、优秀毕业生(2013.6)、优秀学生干部(2012.5) 等 比赛获奖: 电子设计大赛省二等奖、飞思卡尔智能车大赛校级三等奖等

工作经历

研究员 西安交通大学 (2026.1 ~ 至今) 院系: 信息与通信工程学院 研究方向: AI + 地球物理

博士后研究员 阿尔伯塔大学 (2023.11 ~ 2025.12) 研究方向: 地震数据处理 导师: Mauricio D. Sacchi

博士后研究员 普渡大学 (2022.10 ~ 2023.11) 研究方向: 背景噪声处理 导师: Yunyue Elita Li

工程师 比亚迪汽车股份有限公司 (2013.7 ~ 2015.7) 工作职责: 汽车总线工程师

期刊论文

2026

• SeisDPS-3D: A Diffusion Model-Based Approach for 3D Seismic Data Deconvolution
  Dawei Liu*, Hongzhi Yu, and Mauricio D. Sacchi
  Surveys in Geophysics, (2026): 1-39. [PDF]

• STISR: A Stacked Tucker Implicit Seismic Reparameterization Framework for 3D Seismic Data Denoising
  Qingfang Wang, Dawei Liu*, Mauricio D. Sacchi, Xiaokai Wang, Deyu Meng, and Wenchao Chen
  Petroleum Science, (2026). [PDF]

• Unsupervised Seismic Data Denoising via SIREN-Guided Diffusion Mode
  Ji Li, Dawei Liu*, and Daniel Trad
  Geophysical Prospecting, (2026). [PDF]

• Diffusion Posterior Sampling with 3D Lateral Constraints for Post-Stack Impedance Inversion
  Zeyang Liu, Dawei Liu*, Mauricio Sacchi, Jingye Li, Xiaohong Chen, and Wei Zhang
  Journal of Applied Geophysics, (2026). [PDF]

2025

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

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

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

• 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]

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

• Unsupervised Ground Roll Attenuation via Implicit Neural Representations
  Ji Li, Dawei Liu*, and Mauricio Sacchi
  Geophysics, 90, (2025): V111-V121. [PDF]

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

• Implicit Neural Representations for Self-Supervised Seismic Deblending
  Weiwei Xu, Dawei Liu*, Xiaokai Wang, Mauricio D. Sacchi, and Wenchao Chen
  Geophysics, 90, (2025): V615-V632.

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

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

• 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, (2025): V161-V177. [PDF]

• Accurate Reconstruction Method of Virtual Shot Records in Passive Source Time-Lapse Monitoring Based on SBA Network
  Yinghe Wu, Shulin Pan, Kai Chen, Yaojie Chen, Dawei Liu, Ziyu Qin, Shengbo Yi, and Zeyang Liu
  Petroleum Science, 22(9), (2025): 3548-3564.

2024

• 5-D 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), 62, (2024): 1-11. [PDF]

• Enhancing Ground-Penetrating Radar (GPR) Data Resolution Through Weakly Supervised Learning
  Dawei Liu, Mei Zhou, Xiaokai Wang, Zhensheng Shi, Mauricio D. Sacchi, Wenchao Chen, Zaodan Liu, and Xian Wang
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 62, (2024): 1-13. [PDF]

• Robust Unsupervised 5D Seismic Data Reconstruction on Both Regular and Irregular Grids
  Ji Li, Dawei Liu*, Daniel Trad, and Mauricio Sacchi
  Geophysics, 89, (2024): V537-V549. [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]

• 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]

• 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]

• 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): 1-11. [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): 1-11. [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]

2023

• Improving Vertical Resolution of Vintage Seismic Data by a Weakly Supervised Method Based on CycleGAN
  Dawei Liu, Wenli Niu, Xiaokai Wang, Mauricio D. Sacchi, Wenchao Chen, and Cheng Wang
  Geophysics, 88, (2023): V445-V458. [PDF]

• Improving Sparse Representation with Deep Learning: A Workflow for Separating Strong Background Interference
  Dawei Liu, Wei Wang, Xiaokai Wang, Zhensheng Shi, Mauricio D. Sacchi, and Wenchao Chen
  Geophysics, 88, (2023): WA253-WA266. [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): 1-17. [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): 1-5. [PDF]

2022

• Accelerating Seismic Scattered Noise Attenuation in OVT Domain: Application of Deep Learning
  Dawei Liu, Xiaokai Wang, Xiaohai Yang, Haibo Mao, Mauricio D. Sacchi, and Wenchao Chen
  Geophysics, 87, (2022): V505-V519. [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, 87, (2022): V183-V191. [PDF]

• Efficient Tensor Completion Methods for 5-D Seismic Data Reconstruction: Low-Rank Tensor Train and Tensor Ring
  Dawei Liu, Mauricio D. Sacchi, and Wenchao Chen
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 60, (2022): 1-17. [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): 1-5. [PDF]

• Accelerating Seismic Dip Estimation with Deep Learning
  Xiaokai Wang, Dawei Liu*, and Wenchao Chen
  IEEE Geoscience and Remote Sensing Letters (GRSL), 19, (2022): 1-5. [PDF]

• Attenuation of the Multiple Reflection-Refraction in 2-D Common-Shot Gathers 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): 1-5. [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): 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, (2022): SA59-SA67.

Before 2022

• A Dictionary Learning Method with Atom Splitting for Seismic Footprint Suppression
  Dawei Liu, Lei Gao, Xiaokai Wang, and Wenchao Chen
  Geophysics, 86, (2021): V509-V523. [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(3), (2020): 1598-1629. [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 Geology & Exploration, 49(1), (2021): 249-256. [PDF]

会议论文

• Deep learning for prestack strong scattered noise suppression
  Liu, Dawei, 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
  Zhang, Haoqi, 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
  Hou, Qinlong, Dawei Liu, Xiaokai Wang, and Wenchao Chen
  First International Meeting for Applied Geoscience & Energy (SEG), pp. 2979-2983. Society of Exploration Geophysicists, 2021.

• Prestack seismic noise attenuation based on 3D CWT
  Zhao, Chen, 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?
  Liu, Dawei, 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?
  Liu, Dawei, 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
  Liu, Dawei, 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
  Liu, Dawei, 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?
  Liu, Dawei, 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]

  [Cited by Yilmaz, Öz in his new book: Land seismic case studies for near-surface modeling and subsurface imaging, 2021.]

发明专利

• 基于并行矩阵分解的低秩五维地震数据重构方法及系统 [PDF]
  陈文超，刘达伟，何逸捷，王晓凯
  国家发明专利, 授权公告号:CN115657124B

• 一种五维地震资料低秩约束重建方法、系统、介质及设备 [PDF]
  陈文超，刘达伟，高文斌，王晓凯
  国家发明专利, 授权公告号:CN115511004B

• 基于深度卷积网络先验的迭代地震资料解混方法及系统 [PDF]
  陈文超，徐浩天，徐威威，周艳辉，刘达伟，王晓凯
  国家发明专利, 授权公告号:CN114236610B

• 一种叠前地震资料线性干扰压制方法及系统 [PDF]
  陈文超，胡杨丽江，刘达伟，王晓凯， 师振盛
  国家发明专利, 授权公告号:CN113743193B

• 一种基于形态成分分析的采集脚印压制方法 [PDF]
  陈文超，王伟，刘达伟，师振盛，陈建友，庞岳峰，李立三
  国家发明专利, 公开号:CN109782346A

• 一种压制地震资料强屏蔽干扰的稀疏优化方法 [PDF]
  陈文超，王伟，王晓凯，雷江莉，陈建友，刘达伟，徐云
  国家发明专利, 公开号:CN107356967A

• 一种自动计算地震数据光缆耦合噪声强弱程度的振幅谱方法 [PDF]
  陈文超，陈建友，师振盛，王晓凯，刘达伟，郭桑，陈昕
  国家发明专利, 公开号:CN107436451B

其他项目

• 《叠后地震资料多尺度智能拓频方法研究》
  主要参与人;
  中国石油集团科学技术研究院有限公司
  

• 《智能三维随机噪声压制研究》
  主要参与人;
  中国石油天然气股份有限公司勘探开发研究院西北分院
  

• 《基于地层结构相似区域的三维叠后地震资料智能去噪方法研究》
  主要参与人;
  中国石油新疆油田公司
  

• 《高密度地震数据AI叠前噪声压制方法研究与应用研究》 [PDF]
  主要参与人;
  中国石油新疆油田公司
  

Blogs

• 如何回复审稿意见

• 研究生科研代码注意事项

• 研究生论文初稿写作规范 [PDF] [Slides] [Tables]

• 研究生毕业论文写作规范 [PDF] [Slides] [Tables]

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