2 citations · 2 across the 4 of their papers we have counts for
4 papers
ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion
Yuanyi Song, Pumeng Lyu, Ben Fei +3
Accurate reconstruction of ocean is essential for reflecting global climate dynamics and supporting marine meteorological research. Conventional methods face challenges due to spar…
Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
Zijie Guo, Pumeng Lyu, Fenghua Ling +8
Accurate ocean dynamics modeling is crucial for enhancing understanding of ocean circulation, predicting climate variability, and tackling challenges posed by climate change. Despi…
MLP Can Be A Good Transformer Learner
Sihao Lin, Pumeng Lyu, Dongrui Liu +4
Self-attention mechanism is the key of the Transformer but often criticized for its computation demands. Previous token pruning works motivate their methods from the view of comput…
ResoNet: Robust and Explainable ENSO Forecasts with Hybrid Convolution and Transformer Networks
Pumeng Lyu, Tao Tang, Fenghua Ling +4
Recent studies have shown that deep learning (DL) models can skillfully predict the El Niño-Southern Oscillation (ENSO) forecasts over 1.5 years ahead. However, concerns regarding…