Paper Publications

• [21]Xu Si,Xinming Wu, Hanlin Sheng, Jun Zhu,Zefeng Li.Xinming Wu.SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction.[SCI].美国:IEEE Transactions on Geoscience and Remote Sensing,2024,621-13.
• [22]Xu Si,Xinming Wu,Zefeng Li, Shenghou Wang, Jun Zhu.Xinming Wu,Zefeng Li.An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring.[SCI].英国:Communications Earth & Environment,2024,5(1):22.
• [23]Xin Cui,Yanlan Hu, Shang Ma,Zefeng Li, Guoming Liu, Hui Huang.Zefeng Li.Bridging Supervised and Unsupervised Learning to Build Volcano Seismicity Classifiers at Kilauea Volcano, Hawaii.[SCI].美国:Seismological Research Letters,2024,95(3):1849-1857.
• [24]Jun Zhu,Lihua Fang, Fajun Miao, Liping Fan, Ji Zhang,Zefeng Li.Zefeng Li.Deep learning and transfer learning of earthquake and quarry-blast discrimination: applications to southern California and eastern Kentucky.[SCI].英国:Geophysical Journal International,2023,236(2):979-993.
• [25]Xin Cui,Zefeng Li, Yan Hu.Zefeng Li.Similar seismic moment release process for shallow and deep earthquakes.[SCI].英国:Nature Geoscience,2023,16(5):454-460.
• [26]Ji Zhang,Zefeng Li, Jie Zhang.Jie Zhang.Simultaneous Seismic Phase Picking and Polarity Determination with an Attention-Based Neural Network.[SCI].美国:Seismological Research Letters,2023,94(2A):813-828.
• [27]Jun Zhu,Zefeng Li, Lihua Fang.Zefeng Li.USTC-Pickers: a Unified Set of seismic phase pickers Transfer learned for China.[SCI].中国:Earthquake Science,2023,36(2):95-112.
• [28]Shang Ma,Zefeng Li, Wei Wang.Zefeng Li.Machine learning of source spectra for large earthquakes.[SCI].英国:Geophysical Journal International,2022,231(1):692-702.
• [29]Zefeng Li,Zefeng Li.A Generic Model of Global Earthquake Rupture Characteristics Revealed by Machine Learning.[SCI].美国:Geophysical Research Letters,2022,49(8):e2021GL096464.
• [30]James Atterholt,Zhongwen Zhan, Zhichao Shen,Zefeng Li.James Atterholt.A unified wavefield-partitioning approach for distributed acoustic sensing.[SCI].英国:Geophysical Journal International,2021,228(2):1410-1418.