1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation
Yifang Yin, Shengkai Chen, Yiyao Li +4
Precipitation nowcasting predicts future radar sequences based on current observations, which is a highly challenging task driven by the inherent complexity of the Earth system. Ac…
cs.LG2024
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices
Ruibing Jin, Qing Xu, Min Wu +4
Limited by the scale and diversity of time series data, the neural networks trained on time series data often overfit and show unsatisfacotry performances. In comparison, large lan…
cs.CV2023★ 1 cited
Unlimited Knowledge Distillation for Action Recognition in the Dark
Ruibing Jin, Guosheng Lin, Min Wu +4
Dark videos often lose essential information, which causes the knowledge learned by networks is not enough to accurately recognize actions. Existing knowledge assembling methods re…