刘小康，中国地质大学（武汉）地球科学学院，地球生物学系预聘副教授。1994年出生，籍贯重庆市。

研究方向

主要从事深度学习在地球生物学中的交叉应用，包括大灭绝事件生物演化研究，生物多样性、化石形态研究，计算机视觉，大语言模型应用等。

发表论文

Liu, X., Chu, D., Dai, X., Wang F., Song H., and Silvestro D., 2024. Heterogeneous selectivity and morphological evolution of marine clades during the Permian-Triassic mass extinction. Nature Ecology & Evolution: 1–24.

刘小康,宋海军,楚道亮,等.深度学习揭示史上最大灭绝事件中生物形态演变过程.科学通报, 2024, 69(26):3846-3848.

Liu X., Jiang, S., Wu, R., Shu R., Hou, J., Sun, Y., Sun, J., Chu, D., Wu, Y., Song, H., 2023, Automatic taxonomic identification based on the Fossil Image Dataset (> 415,000 images) and deep convolutional neural networks. Paleobiology, 49(1): 1–22.

Liu, X. and Song, H., 2020. Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks. Sedimentary Geology, 410: 105790.

Liu, X., Song, H., Bond, D.P., Tong, J. and Benton, M.J., 2020. Migration controls extinction and survival patterns of foraminifers during the Permian-Triassic crisis in South China. Earth-Science Reviews: 103329.

Shu X., Song H., Lei Y., Chu D., Dal Corso J., Liu X., Ye Q., Song H., Wei L., Jia E. 2025 Global Acritarch Database (> 110 000 occurrences). Earth System Science Data 17, 3567-3582.

Lai J., Song H., Chu D., Dal Corso J., Sperling E.A., Wu Y., Liu X., Wei L., Li M., Song H. 2024 Deep-Time Marine Sedimentary Element Database. Earth System Science Data Discussions 2024, 1-23.

Dai, X., Davies, J.H., Yuan, Z., Brayard, A., Ovtcharova, M., Xu, G., Liu, X., Smith, C.P., Schweitzer, C.E. and Li, M., 2023. A Mesozoic fossil lagerstätte from 250.8 million years ago shows a modern-type marine ecosystem. Science, 379(6632): 567–572.

Miao L., Liu X., Brayard A., Korn D., Dai X., and Song H. 2024. Morphological complexity promotes origination and extinction rates in ammonoids. Current Biology.

Sun, J., Liu, X., Huang, Y., Wang, F., Sun, Y., Chen, J., Chu, D. and Song, H. , 2023. Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning. PeerJ, 11: e16200.

Dai, X., Brayard, A., Ware, D., Jiang, S., Li, M., Wang, F., Liu, X. and Song, H., 2023. High-resolution Early Triassic ammonoid biostratigraphy of South Tibet, China and implications for global correlations. Earth-Science Reviews, 239: 104384.

Jiang, S., Song, H., Kemp, D.B., Dai, X. and Liu, X., 2020. Two pulses of extinction of larger benthic foraminifera during the Pliensbachian-Toarcian and early Toarcian environmental crises. Palaeogeography, Palaeoclimatology, Palaeoecology, 560: 109998.

Yang L., Dai X., Liu X., Feng Y., Jiang S., Wang F., Song H., Tian L., and Song H., 2023, Foraminiferal Extinction and Size Reduction during the Permian-Triassic Transition in Southern Tibet. Journal of Earth Science. Accepted.

Dai, X., Yuan, Z., Brayard, A., Li, M., Liu, X., Jia, E., Du, Y., Song, H. and Song, H., 2021. Calibrating the late Smithian (Early Triassic) crisis: New insights from the Nanpanjiang Basin, South China. Global and Planetary Change, 201: 103492.

Miao, L., Dai, X., Korn, D., Brayard, A., Chen, J., Liu, X. and Song, H., 2021. A Changhsingian (late Permian) nautiloid assemblage from Gujiao, South China. Papers in Palaeontology, 7(1): 329–351.

Yuan, Z., Xu, G.-H., Dai, X., Wang, F., Liu, X., Jia, E., Miao, L. and Song, H., 2022. A new perleidid neopterygian fish from the Early Triassic (Dienerian, Induan) of South China, with a reassessment of the relationships of Perleidiformes. PeerJ, 10: e13448.