Fan Meng
Orcid: 0000-0002-1462-4696Affiliations:
- Nanjing University of Information Science and Technology, Nanjing, China
According to our database1,
Fan Meng authored at least 20 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
ACM Trans. Multim. Comput. Commun. Appl., January, 2026
A data fusion approach to synthesize microwave imagery of tropical cyclones from infrared data using vision transformers.
Inf. Fusion, 2026
2025
ACM Trans. Multim. Comput. Commun. Appl., April, 2025
Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images With Mask Enhancement and Balanced Sampling.
IEEE Trans. Geosci. Remote. Sens., 2025
2024
Probabilistic Estimation of Tropical Cyclone Intensity Based on Multi-Source Satellite Remote Sensing Images.
Remote. Sens., February, 2024
Uncertainty forecasting system for tropical cyclone tracks based on conformal prediction.
Expert Syst. Appl., 2024
2023
EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea.
Appl. Intell., December, 2023
Int. J. Intell. Syst., 2023
2022
Inversion of Ocean Subsurface Temperature and Salinity Fields Based on Spatio-Temporal Correlation.
Remote. Sens., 2022
Simulating Tropical Cyclone Passive Microwave Rainfall Imagery Using Infrared Imagery via Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
ATDNNS: An adaptive time-frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting.
Future Gener. Comput. Syst., 2022
TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks.
CoRR, 2022
A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning.
Remote. Sens., 2021
Visual Prediction of Tropical Cyclones with Deep Convolutional Generative Adversarial Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Cyclone Identify using Two-Branch Convolutional Neural Network from Global Forecasting System Analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Use Ensemble Learning to Estimate the Population and Assets Exposed to Tropical Cyclones.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images.
Int. J. Comput. Intell. Syst., 2020
2019
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images.
IEEE Access, 2019