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cs.LG2025
A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series
Yifan Wang, Hongfeng Ai, Ruiqi Li +3
In medical time series disease diagnosis, two key challenges are identified.First, the high annotation cost of medical data leads to overfitting in models trained on label-limited,…
cs.LG2024
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
Quangao Liu, Ruiqi Li, Maowei Jiang +4
Time series forecasting (TSF) is crucial in fields like economic forecasting, weather prediction, traffic flow analysis, and public health surveillance. Real-world time series data…
cs.LG2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Ruiqi Li, Maowei Jiang, Kai Wang +4
Time Series Forecasting plays a crucial role in various fields such as industrial equipment maintenance, meteorology, energy consumption, traffic flow and financial investment. How…