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cs.AI2026
History Is Not Enough: An Adaptive Dataflow System for Financial Time-Series Synthesis
Haochong Xia, Yao Long Teng, Regan Tan +3
In quantitative finance, the gap between training and real-world performance-driven by concept drift and distributional non-stationarity-remains a critical obstacle for building re…
cs.LG2026
Bayesian Robust Financial Trading with Adversarial Synthetic Market Data
Haochong Xia, Simin Li, Ruixiao Xu +7
Algorithmic trading relies on machine learning models to make trading decisions. Despite strong in-sample performance, these models often degrade when confronted with evolving real…