4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.AI2023
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
Shengkun Wang, YangXiao Bai, Taoran Ji +3
Predicting stock market is vital for investors and policymakers, acting as a barometer of the economic health. We leverage social media data, a potent source of public sentiment, i…
cs.LG2023★ 4 cited
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
Shengkun Wang, YangXiao Bai, Kaiqun Fu +3
For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being. To this end, we harness the power of social medi…
cs.LG2023
LaTeX: Language Pattern-aware Triggering Event Detection for Adverse Experience during Pandemics
Kaiqun Fu, Yangxiao Bai, Weiwei Zhang +1
The COVID-19 pandemic has accentuated socioeconomic disparities across various racial and ethnic groups in the United States. While previous studies have utilized traditional surve…