Time horizon-aware modeling of financial texts for stock price prediction. - Fuli Feng; Xiang Wang 010; Xiangnan He 001; Ritchie Ng; Tat-Seng Chua (ICAIF, 2021)

Hybrid Learning to Rank for Financial Event Ranking. - Fuli Feng; Moxin Li; Cheng Luo 001; Ritchie Ng; Tat-Seng Chua (SIGIR, 2021)

Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. - Kelvin J. L. Koa; Yunshan Ma; Ritchie Ng; Tat-Seng Chua (CIKM, 2023)

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. - Kelvin J. L. Koa; Yunshan Ma; Ritchie Ng; Tat-Seng Chua (WWW, 2024)

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. - Kelvin J. L. Koa; Yunshan Ma; Ritchie Ng; Huanhuan Zheng; Tat-Seng Chua (CoRR, 2024)