[1] Li X, Li K, Xu Z, et al. Fault-Seg-LNet: A method for seismic fault identification based on lightweight and dynamic scalable network[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107316. （SCI中科院一区，第一作者）
[2]Li X, Li K, Xu Z, et al. Fault-Seg-Net: A method for seismic fault segmentation based on multi-scale feature fusion with imbalanced classification[J]. Computers and Geotechnics, 2023, 158: 105412. （SCI中科院一区TOP，第一作者）
[3] Li X, Li K. Imbalanced data classification based on improved EIWAPSO-AdaBoost-C ensemble algorithm[J]. Applied Intelligence, 2022, 52: 6477-6502. （SCI中科院二区，第一作者）
[4] Li X, Li K. Fault-Attri-Attention: A method for fault identification based on seismic attributes attention[J]. Neural Computing and Applications, 2023. （SCI中科院三区，第一作者）
[5] Li X, Li K. High-dimensional imbalanced biomedical data classification based on P-AdaBoost-PAUC algorithm[J]. Journal of Supercomputing, 2022, 78: 16581-16604. （SCI中科院三区，第一作者）
[6] Li X, Li K. Research on intrusion detection method for industrial control systems based on improved APSO-MKBoost-C algorithm[C]. IEEE International Conference on HPCC/ DSS/SmartCity/DependSys, 2022, 2221-2226.（EI，CCF C类会议，第一作者）
