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Shuoling Liu

2 accepted papers

2026

The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting

ICML 2026poster

While deep learning has revolutionized financial forecasting through sophisticated architectures, the design of the supervision signal itself is rarely scrutinized. We challenge the canonical assumption that training labels must strictly mirror inference targets, uncovering the Label Horizon Paradox…

Cited by 0SourceScholar
2022

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution

IJCAI 2022poster

Optimal execution is a sequential decision-making problem for cost-saving in algorithmic trading. Studies have found that reinforcement learning (RL) can help decide the order-splitting sizes. However, a problem remains unsolved: how to place limit orders at appropriate limit prices? The key challe…

Cited by 11SourcePDFScholar