2022
• Fan Meng, Danya Xu, Tao Song, ATDNNS:An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting, Future Generation Computer Systems.(JCR Q1, TOP, IF = 7.187, In Press)
• Fan Meng, Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting, To Appear at Proceedings of The Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI-22.
• Fan Meng, Handan Sun, et.al, A Short-term Tropical Cyclone Intensity Forecast Method Based on High-order Tensor (Student Abstract), To Appear at Proceedings of The Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI-22.
• Fan Meng, Tao Song, Danya Xu, Simulating tropical cyclone passive microwave rainfall imagery using infrared imagery via generative adversarial networks , IEEE Geoscience and Remote Sensing Letters. (JCR Q1, IF =3.966, In Press)
• Tao Song, Ying Li, Fan Meng, A Novel Method for Tropical Cyclone Track Prediction in the Northwest Pacific with BiGRU and Attention Mechanism, Journal of Applied Meteorology and Climatology,61.1 (2022): 3-12.(SCI)
2021
• Fan Meng, Tao Song, Danya Xu, Pengfei Xie, and Ying Li. "Forecasting tropical cyclones wave height using bidirectional gated recurrent unit." Ocean Engineering (2021): 108795.(JCR Q1, TOP, IF = 3.795)
• Pang, Shanchen, Pengfei Xie, Danya Xu, Fan Meng, Xixi Tao, Bowen Li, Ying Li, and Tao Song. "NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning." Remote Sensing 13, no. 9 (2021): 1860.(SCI, TOP)
• Tao Song, Jiarong Wang, Danya Xu, Wei Wei, Runsheng Han, Fan Meng, et.al,An Unsupervised Machine Learning Method for Unstructured Grids Optimizing, Journal of Marine Science and Engineering(2021), 2021, 9(12): 1398.(SCI)
• Fan Meng, Pengfei Xie, Tao Song, Tropical Cyclone Size Estimation Using deep Convolutional Neural Network,International Geoscience and Remote Sensing Symposium 2021,IGARSS 2021. (pp. 8472-8475). IEEE.
• Fan Meng, Tongmao Ma,Tao Song, Use ensemble learning to estimate the population and assets exposed to tropical cyclones,International Geoscience and Remote Sensing Symposium 2021,IGARSS 2021. (pp.8476-8479). IEEE.
• Fan Meng, Qingyu Tian,Tao Song, Cyclone identify Using Two-Branch Convolutional Neural Network From Global Forecasting System analysis,International Geoscience and Remote Sensing Symposium 2021,IGARSS 2021. (pp.8468-8471). IEEE.
• Pengfei Xie, FanMeng, Visual Prediction of Tropical Cyclones With Deep Convolutional Generative Adversarial Networks,International Geoscience and Remote Sensing Symposium 2021,IGARSS 2021.(pp.8297-8300). IEEE.
• Fan Meng, Handan Sun, et.al, Tropical cyclone intensity forecasting using improved ARIMA algorithm, 2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer,ICFTIC 2021.(Oral)
• Fan Meng, Tao Song, et.al, Forecasting Tropical Cyclones Wave Height using Bidirectional Gated Recurrent Unit, 3rd NOAA Workshop on Leveraging AI in Environmental Sciences,2021.(Poster)
• Handan Sun, Fan Meng,T Song, et.al, Tropical cyclone frequency prediction method based on neural network, 3rd NOAA Workshop on Leveraging AI in Environmental Sciences,2021.(Poster)
• Fan Meng, Tao Song, Current Status of Research on Trustworthy Machine Learning in Atmospheric Marine Science, 3rd Workshop on Big Data and Artificial Intelligence in Marine Environmental Analysis and Prediction and Disaster Prevention and Mitigation,2021.(Spotlight, In Chinese)
2019
• Tao Song, Fan Meng, Alfonso Rodriguez-Paton, Pibao Li, Pan Zheng, and Xun Wang. "U-next: a novel convolution neural network with an aggregation u-net architecture for gallstone segmentation in CT images." IEEE Access 7 (2019): 166823-166832.(SCI)
• Shanchen Pang,Tong Ding, Sibo Qiao, Fan Meng, Shuo Wang, Pibao Li ,and Xun Wang, A novel YOLOv3-arch model for identifying cholelithiasis and classifying gallstones on CT images. Plos one, 2019, 10.1371/journal.pone.0217647.(SCI)
• Pengfei Xie, Tao Song, Hye-Young Paik, Shanchen Pang, Danya Xu and Fan Meng, Enhancing The Governance of Responsible AI through AI Certification, Submitted to 44th International Conference on Software Engineering (ICSE 2022).
Machine learning-based probabilistic forecasting of tropical cyclones
Remote sensing image processing of tropical cyclones based on deep learning