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Prof. Liu, Xin

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Prof. Liu, Xin

Assistant Professor

I study innovative methods to image the subsurface structure of the earth from the shallow sediments to upper mantle of the earth using ambient seismic noise or earthquakes.  I am particularly interested in promoting ambient noise differential adjoint tomography for deriving shear velocity models as well as seismic attenuation structure from wave amplitude information. I am a big fan of ML/AI techniques towards seismic signal/noise classification and denoising and beyond.

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Tel:
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Website:		 liuxine@hku.hk
3917 1453
HOC327
https://liuxinscer.github.io
 

Selected Publications

  1. Liu, X., Beroza, G. C., & Ben‐Zion, Y. (2022). Ambient Noise Attenuation Tomography Reveals an Asymmetric Damage Zone Across San Jacinto Fault Near Anza, California. Geophysical Research Letters, 49(15). https://doi.org/10.1029/2022GL099562
  2. Yang, L., Liu, X., Zhu, W., Zhao, L., & Beroza, G. C. (2022). Toward improved urban earthquake monitoring through deep-learning-based noise suppression. Science Advances, 8(15), eabl3564. https://doi.org/10.1126/sciadv.abl3564
  3. Liu, X., Beroza, G. C., Yang, L., & Ellsworth, W. (2021). Ambient noise Love wave attenuation tomography for the LASSIE array across Los Angeles basin. Science Advances, 7(22), eabe1030. https://doi.org/10.1126/sciadv.abe1030
  4. Yang, L., Liu, X.* (* denotes corresp. author), & Beroza, G. C.* (2021). Revisiting evidence for widespread seismicity in the upper mantle under Los Angeles. Science Advances, 7(4), eabf2862. https://doi.org/10.1126/sciadv.abf2862
  5. Liu, X. ( 2020). Finite‐frequency sensitivity kernels for seismic noise interferometry based on differential time measurements. Journal of Geophysical Research: Solid Earth, 125, e2019JB018932. https://doi.org/10.1029/2019JB018932