108 citations · 111 across the 7 of their papers we have counts for
5 papers · 1 filter
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
Dafang Zhao, Xihao Piao, Zheng Chen +2
Accurate forecasting of the electrical load, such as the magnitude and the timing of peak power, is crucial to successful power system management and implementation of smart grid s…
FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
Xihao Piao, Zheng Chen, Yushun Dong +2
Recent normalization-based methods have shown great success in tackling the distribution shift issue, facilitating non-stationary time series forecasting. Since these methods opera…
BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations
Xihao Piao, Pei Gao, Zheng Chen +4
The medical community believes binary medical event outcomes in EHR data contain sufficient information for making a sensible recommendation. However, there are two challenges to e…
MLOmics: Cancer Multi-Omics Database for Machine Learning
Ziwei Yang, Rikuto Kotoge, Xihao Piao +6
Framing the investigation of diverse cancers as a machine learning problem has recently shown significant potential in multi-omics analysis and cancer research. Empowering these su…
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Xihao Piao, Zheng Chen, Taichi Murayama +2
The Transformer model has shown leading performance in time series forecasting. Nevertheless, in some complex scenarios, it tends to learn low-frequency features in the data and ov…