3 papers
cs.LG2026
ACT: Anti-Crosstalk Learning for Cross-Sectional Stock Ranking via Temporal Disentanglement and Structural Purification
Juntao Li, Liang Zhang
Cross-sectional stock ranking is a fundamental task in quantitative investment, relying on both temporal modeling of individual stocks and the capture of inter-stock dependencies.…
cs.CE2025
FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis
Wenyan Xu, Dawei Xiang, Yue Liu +6
Pure time series forecasting tasks typically focus exclusively on numerical features; however, real-world financial decision-making demands the comparison and analysis of heterogen…
cs.CE2025
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
Wenyan Xu, Dawei Xiang, Rundong Wang +4
Stock price movements are influenced by many factors, and alongside historical price data, tex-tual information is a key source. Public news and social media offer valuable insight…