教学 科研 成果 | 1、 主持或主研的项目 (1) 国家自然科学基金青年项目，基于可解释人工智能的人类活动对大气河的影响研究，2026-01至2028-12；30万（主持） (2) 岭南师范学院人才引进专项项目，基于可解释机器学习的极端降水数据驱动因子识别与机制分析，2025.07-2029.07；15万（主持） (3) 校企合作，基于深度学习的农业灾害只能识别与测绘预警平台，2026-01至2027-12；1.3万（项目负责人） 2、本人代表性研究成果 (1) Tian, Y., Zhao, Y., Li, J., Shen, C., Wen, D., Qi, X., ... & Chen, D. (2026). Explainable artificial intelligence identifies key meteorological drivers of extreme precipitation in the Asian Monsoon Region. Atmospheric Research, 108809. (2) Tian, Y., Zhao, Y., Li, J., Xu, H., Zhang, C., Deng, L., ... & Peng, M. (2024). Improving CMIP6 atmospheric river precipitation estimation by cycle‐consistent generative adversarial networks. Journal of Geophysical Research: Atmospheres, 129(14), e2023JD040698（ESI高被引）. (3) Tian, Y., Zhao, Y., Li, J., Chen, B., Deng, L., & Wen, D. (2024). East Asia atmospheric river forecast with a deep learning method: GAN‐UNet. Journal of Geophysical Research: Atmospheres, 129(5). (4) Tian, Y., Zhao, Y., Son, S. W., Luo, J. J., Oh, S. G., & Wang, Y. (2023). A deep‐learning ensemble method to detect atmospheric rivers and its application to projected changes in precipitation regime. Journal of Geophysical Research: Atmospheres, 128(12).（ESI高被引） (5) Zhang, B., Wen, D., Lu, Y., Tian, Y., & Huang, X. (2026). Land Use Classification of High-Resolution Remote Sensing Imagery Incorporating Global-Local Interactive Features Across Optical Domain and Land Cover Primitives. IEEE Transactions on Geoscience and Remote Sensing. (6) Wen, D., Jiang, Y., Chen, D., & Tian, Y. (2025). Fusion of Bi-temporal Zhuhai-1 Orbita Hyperspectral and Multi-season Sentinel-2 Remote Sensing Imagery for Semantic Change Detection based on Dual-path 3DCNN-LSTM. IEEE Geoscience and Remote Sensing Letters. (7) Wen, D., Zhu, S, Tian, Y., Guan, X., & Lu, Y. (2024). Generating 10-meter resolution land use and land cover products using historical landsat archive based on super resolution guided semantic segmentation network. Remote Sensing, 16, no. 12: 2248. (8) Zhao, Y., Li, J., Tian, Y., & Li, J. (2024). Distinguish extreme precipitation mechanisms associated with atmospheric river and non-atmospheric river in the lower Yangtze River Basin. Journal of Climate.（ESI高被引） (9) Yu, H., Wu, D., Piao, X., Zhang, T., Yan, Y., Tian, Y., ... & Cui, X. (2020). Reduced impacts of heat extremes from limiting global warming to under 1.5° C or 2°C over Mediterranean regions. Environmental Research Letters, 16(1). 3、发明专利 田媛，陈雪锋；一种基于深度学习的气象预测方法及系统，2026-3-13，中国，202511843806.1. |
