2 papers
cs.CL2025
Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models
Zhengke Sun, Hangwei Qian, Ivor Tsang
Large Language Models (LLMs) have been applied to time series forecasting tasks, leveraging pre-trained language models as the backbone and incorporating textual data to purportedl…
cs.LG2022
A Comparative Study on Application of Class-Imbalance Learning for Severity Prediction of Adverse Events Following Immunization
Ning Chen, Zhengke Sun, Tong Jia
In collaboration with the Liaoning CDC, China, we propose a prediction system to predict the subsequent hospitalization of children with adverse reactions based on data on adverse…