3 papers
cs.LG2026
When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series
Chen Shao, Yue Wang, Zhenyi Zhu +4
Modeling multivariate time series by representing them as graphs, where individual series act as nodes and pairwise temporal corre- lations serve as edges, has gained significant t…
econ.EM2025
Prejudiced Futures? Algorithmic Bias in Time Series Forecasting and Its Ethical Implications
Bagattini Alexander, Chen Shao
Time series prediction algorithms are increasingly central to decision-making in high-stakes domains such as healthcare, energy management, and economic planning. Yet, these system…
cs.LG2025
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
Chen Shao, Yue Wang, Zhenyi Zhu +5
Energy forecasting is vital for grid reliability and operational efficiency. Although recent advances in time series forecasting have led to progress, existing benchmarks remain li…