Publications

Journal Articles

  1. Shi, Q., Denolle, M. A., Ni, Y., Williams, E., F., You, N. (2025). Denoising Offshore Distributed Acoustic Sensing Using Masked Auto-Encoders to Enhance Earthquake Detection. Journal of Geophysical Research: Solid Earth, 130, e2024JB029728. [Link]
  2. Ni, Y., Denolle, M. A., Shi, Q., Lipovsky, B. P., Pan, S., & Kutz, J. N. (2024). Wavefield reconstruction of distributed acoustic sensing: Lossy compression, wavefield separation, and edge computing. Journal of Geophysical Research: Machine Learning and Computation, 1(3), e2024JH000247. [Link] [Code]
  3. Ni, Y., Denolle, M. A., Fatland, R., Alterman, N., Lipovsky, B. P., Knuth, F. (2024). An Object Storage for Distributed Acoustic Sensing. Seismological Research Letters, 95(1), 499-511 [Link] [Code]
  4. Yuan, C., Ni, Y., Lin, Y., Denolle, M. A. (2023). Better Together: Ensemble Learning for Earthquake Detection and Phase Picking. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17. [Link] [Code]
  5. Krauss, Z., Ni, Y., Henderson, S., & Denolle, M. A. (2023). Seismology in the cloud: guidance for the individual researcher. Seismica, 2(2). [Link] [Code]
  6. Ni, Y., Hutko, A., Skene, F., Denolle, M. A., Malone, S., Bodin, P., Hartog, R., & Wright, A. (2023). Curated Pacific Northwest AI-ready Seismic Dataset. Seismica, 2(1). [Link] [Code]

Pre-prints

  1. Denolle, M. A., Tape, C., Bozdag, E., Wang, Y., Waldhauser, F., Gabriel, A., Braunmiller, J., Chow, B., Ding, L., Feng, K., Ghosh, A., Groebner, N., Gupta, A., Krauss, Z., McPherson, A. M., Nagaso, M., Niu, Z., Ni, Y., Örsvuran, R., Pavlis, G., Rodríguez-Cardozo, F.R., Sawi, T., Schliwa, N., Schneller, D., Shi, Q., Thurin, J., Wang, C., Wang, K., Wing, J., Wong, C., Wolf, S., Yuan, C. (2024). Training the Next Generation of Seismologists: Delivering Research-Grade Software Education for Cloud and HPC Computing through Diverse Training Modalities. submitted to to Seismological Research Letters. [Link]