Bin Weng

Deep Residual Convolutional Neural Network Combining Dropout and Transfer Learning for ENSO Forecasting

Jie Hu, Bin Weng, Tianqiang Huang et al. · Geophysical Research Letters · 2021 · 49 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +17

Transformer-enhanced spatiotemporal neural network for post-processing of precipitation forecasts

Mingheng Jiang, Bin Weng, Jiazhen Chen et al. · Journal of Hydrology · 2024 · 32 citations

Hydrometeorology, Meteorology, Forecasting Methodology +6

Transformer for EI Niño-Southern Oscillation Prediction

Feng Ye, Jie Hu, Tianqiang Huang et al. · IEEE Geoscience and Remote Sensing Letters · 2021 · 26 citations

Convolutional Neural Network, Engineering, Weather Forecasting +16

Using the Residual Network Module to Correct the Sub-Seasonal High Temperature Forecast

Wei Jin, Wei Zhang, Jie Hu et al. · Frontiers in Earth Science · 2022 · 17 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +19

Overcome the Brightness and Jitter Noises in Video Inter-Frame Tampering Detection

Pu Han, Tianqiang Huang, Bin Weng et al. · Sensors · 2021 · 10 citations · Full text

Image Analysis, Machine Vision, Jitter Noises +15