99 citations · 408 across the 26 of their papers we have counts for
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stat.ME2026
Efficient conformal prediction intervals for time series: Online PID-Expert aggregation
Guodong Liu, Yanfei Kang, Ren Miao +1
For a given point forecaster, proportional-integral-derivative (PID) calibration configurations can attain similar overall coverage yet produce different interval widths. We introd…
stat.AP2026
Multi-objective probabilistic forecast combination for inventory demand
Shengjie Wang, Yanfei Kang, Evangelos Spiliotis +1
Probabilistic forecasts are essential for inventory management, where decisions depend on the full distribution of future demand. While probabilistic forecast combination is widely…
stat.ML2026
REGAIN: REconciliation GAIN-driven Auxiliary Direction Learning
Weijia Li, Shun Hu, Yanfei Kang
Forecast reconciliation usually starts from a fixed measurement system and asks how forecasts should be projected onto a coherent space. We ask a different question: which addition…