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senli1073 · Sep 3, 2024 · 0c9a738 · 0c9a738
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 - <strong>S. Li</strong>, X. Yang*, A. Cao*, K. Fan, Y. Liu, C. Wang, and Q.Niu (2024). Label Noise-Robust Learning for Microseismic Arrival Time Picking. <strong>Under Review.</strong> [[Code]](https://github.com/senli1073/LNRL)
 
-- X. Yang, <strong>S. Li</strong>, A. Cao*, C. Wang*, Y. Liu, X. Bai, and Q. Niu (2024). Deep Transfer Learning for P-wave Arrival Identification and Automatic Seismic Source Location in Underground Mines. <strong>International Journal of Rock Mechanics and Mining Sciences</strong>. Accepted.
+- X. Yang, <strong>S. Li</strong>, A. Cao*, C. Wang*, Y. Liu, X. Bai, and Q. Niu (2024). Deep Transfer Learning for P-wave Arrival Identification and Automatic Seismic Source Location in Underground Mines. <strong>International Journal of Rock Mechanics and Mining Sciences</strong>. [[Paper]](https://doi.org/10.1016/j.ijrmms.2024.105888)
 
 - <strong>S. Li</strong>, X. Yang*, A. Cao*, C. Wang, Y. Liu, Y. Liu, and Q. Niu (2024). SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks. <strong>IEEE Transactions on Geoscience and Remote Sensing</strong>. [[Paper]](https://doi.org/10.1109/TGRS.2024.3371503) [[Code]](https://github.com/senli1073/SeisT)