Jie Hu

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

GMC sparse enhancement diagnostic method based on the tunable Q-factor wavelet transform for detecting faults in rotating machines

Wangpeng He, Jie Hu, Binqiang Chen et al. · Measurement · 2021 · 27 citations

Fault Diagnosis, Condition Monitoring, Engineering +4

Short-Term Load Forecasting Based on Improved Gene Expression Programming

Limin Huo, Jinliang Yin, Lirui Guo et al. · 2008 · 19 citations

Forecasting Methodology, Engineering, Load Control +17

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

RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks

Yilong Hui, Jie Hu, Nan Cheng et al. · IEEE Transactions on Intelligent Transportation Systems · 2023 · 13 citations