刘达伟 (Dawei Liu)

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]

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 36 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

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

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

• Unsupervised Diffusion Model for Seismic Deconvolution
  Hongzhi Yu, Xiaokai Wang, Wenchao Chen, and Dawei Liu*
  IEEE 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 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 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 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 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 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 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]

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.