Ph.D.
School of Artificial Intelligence
Nanjing University of Information Science & Technology(NUIST)
meng@nuist.edu.cn
vanmeng@163.com
Lecturer(Tenured), 2023-
School of AI
NUIST
Research Intern, 2022
AI EARTH
Alibaba DAMO Academy
Ph.D., 2017- 2023
College of Computer Science and Technology
China University of Petroleum
B.S., 2013-2017
IoT Engineering,
Chengdu University of Information Technolegy
2023-8-27: I am very pleased to announce that I joined the School of Artificial Intelligence at NUIST today. In the future, I will continue my research related to intelligent meteorology and intelligent ocean at NUIST.
2023-11-14: A paper was published by Applied Intelligence. "EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea". https://doi.org/10.1007/s10489-023-05042-0
2022-09-14: I am glad to have received the funding for The Open Project of Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources.
2022-09-12: A paper was accepted by Frontiers in Marine Science. "A Significant Wave Height Prediction Method Based on Deep Learning Combining the Correlation between Wind and Wind Waves".
2022-07-15: I am glad to have received the funding for The Open Project of Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University.
2022-06-22: I have been awarded UAI-2022 Student Scholarships. ( The 38th Conference on Uncertainty in Artificial Intelligence , CCF-B)
2022-05-24: A paper was accepted by Remote Sensing. Inversion of Ocean Temperature and Salinity Fields Based on Spatio-temporal Correlation.
2022-03-18: A paper was accepted by Future Generation Computer Systems . ATDNNS:An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting. https://doi.org/10.1016/j.future.2022.03.029
2022-02-22 ~ 03-01: Two of my works were Presented or Poster in AAAI-2022, these works are about tropical cyclone forecasting with artificial intelligence.
2022-02-17: Today officially joined Alibaba DAMO Academy, the position is a research intern, I will continue to continue research in DAMO Academy based on artificial intelligence extreme weather forecasting!
2022-02-15: A paper was accepted by IEEE GRSL. Simulating tropical cyclone passive microwave rainfall imagery using infrared imagery via generative adversarial networks, A preprint version can be found at https://arxiv.org/abs/2201.07000
2021: Several papers that I co-authored are published recently. Check out:
F Meng, T Song, D Xu, P Xie, Y Li ,Forecasting tropical cyclones wave height using bidirectional gated recurrent unit, Ocean Engineering, 2021
T Song, Y Li, F Meng, P Xie, D Xu ,A Novel Deep Learning Model by BiGRU with Attention Mechanism for Tropical Cyclone Track Prediction in the Northwest Pacific, Journal of Applied Meteorology and Climatology, 2022
S Pang, P Xie, D Xu, F Meng, X Tao, B Li, Y Li, T Song, Ndftc: A new detection framework of tropical cyclones from meteorological satellite images with deep transfer learning, Remote Sensing 13 (9), 1860
T Song, J Wang, D Xu, W Wei, R Han, F Meng, Y Li, P Xie, Unsupervised Machine Learning for Improved Delaunay Triangulation, Journal of Marine Science and Engineering 9 (12), 1398
F Meng, P Xie, Y Li, H Sun, D Xu, T Song, Tropical Cyclone Size Estimation Using deep Convolutional Neural Network, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IEEE
F Meng, Q Tian, H Sun, D Xu, T Song, Cyclone identify Using Two-Branch Convolutional Neural Network from Global Forecasting System analysis, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IEEE
F Meng, T Ma, P Xie, H Sun, D Xu, T Song, Use ensemble learning to estimate the population and assets exposed to tropical cyclones, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IEEE
P Xie, F Meng, B Li, Y Li, Z Yu, H Sun, T Song, D Xu, Visual prediction of tropical cyclones with deep convolutional generative adversarial networks, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IEEE
2021-11-13: I gave an Oral talk at the IEEE 3rd International Conference on Frontiers Technology of Information and Computer,ICFTIC 2021. The topic is on the "Tropical cyclone intensity forecasting using improved ARIMA algorithm ".
2021-09-13: I gave a Poster at 3rd NOAA Workshop on Leveraging Artificial Intelligence in Environmental Sciences.