刘达伟 (Dawei Liu)

博士,中共党员 信息与通信工程, 电子与信息学部, 泓理楼, 创新港校区, 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] [QQ] [微信][常用工具] [English Page]

关于我

我现在是一名博士后, 博士就读于西安交通大学 电子与信息学部。 在此之前, 我于2013年6月在 长安大学 信息工程学院 通信工程专业获得了学士学位, 毕业时专业综合排名:(1/82)。

我的研究兴趣主要包括: 机器学习、稀疏优化,、张量分析、地震信号处理和时频分析等。 主要集中于地球物理勘探中反问题的求解，包括深度学习方法和传统信号分析与反演技术，具体涉及自监督和弱监督深度学习算法、稀疏和鲁棒反演方法、压缩感知技术、形态成分分离算法、高效低秩预测算法、多维地震数据重建算法、贝叶斯反演技术，以及地震观测系统的设计与信号分离技术，在应用数学、机器学习与地震勘探交叉领域的研究中取得了显著进展。

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: 优秀共产党员(2012.6)、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

博士后研究员 普渡大学 (2022.10 ~ present) 研究方向: 环境噪声处理 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

• 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]

• 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]

• A common-reflection-point gather random noise attenuation method based on the synchrosqueezing wavelet transform
  Wang, Xiaokai, Zhizhou Huo, Dawei Liu, Weiwei Xu, and Wenchao Chen
  Interpretation, 10, no. 1 (2021): 1-81.

• Accelerating seismic dip estimation with deep learning
  Wang, Xiaokai, 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
  Liu, Dawei, 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
  Hu, Yanglijiang, Dawei Liu, Xiaokai Wang, Zhonghua Zhao, and Wenchao Chen
  IEEE Geoscience and Remote Sensing Letters (GRSL), Accepted, 2021.[PDF]

• An Unsupervised Deep Learning Method for Denoising Prestack Random Noise
  Liu, Dawei, 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
  Liu, Dawei, 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.