PestDSS: An Integrated Decision Support System for Sustainable Pest Management in Agriculture. - Zhipeng Yuan; Shunbao Li; Ruoling Peng; Daniel Leybourne; Po Yang 001; Yang Li (ISIE, 2023)

A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy. - Shifeng Li; Ruoling Peng; Po Yang 001; Yun Yang 003 (TrustCom, 2023)

Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data. - Ruoling Peng; Kang Liu; Po Yang 001; Zhipeng Yuan; Shunbao Li (CoRR, 2023)

FLARES: A Framework for Large-Scale Agent-Based Rapid Epidemic Simulation. - Ruoling Peng; Kang Liu; Po Yang 001 (INDIN, 2024)

Advancing Agricultural Decision-Making with A Multi-Dimensional Evaluation of Large Language Models for Sustainable Pest Management. - Shanglong Yang; Zhipeng Yuan; Shunbao Li; Ruoling Peng; Kang Liu; Po Yang 001 (INDIN, 2024)

Integrating Human Mobility Quantification into Epidemics Prediction for Effectively Assessing Impact of Transportation. - Ruoling Peng; Kang Liu; Po Yang 001 (ISIE, 2024)

GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture. - Shanglong Yang; Zhipeng Yuan; Shunbao Li; Ruoling Peng; Kang Liu; Po Yang 001 (CoRR, 2024)

An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management. - Shunbao Li; Zhipeng Yuan; Ruoling Peng; Daniel Leybourne; Qing Xue; Yang Li; Po Yang 001 (J. Ind. Inf. Integr., 2024)

PestGPT: Leveraging Large Language Models and IoT for Timely and Customized Recommendation Generation in Sustainable Pest Management. - Zhipeng Yuan; Kang Liu; Ruoling Peng; Shunbao Li; Daniel Leybourne; Nasamu Musa; He Huang; Po Yang 001 (IEEE Internet Things Mag., 2025)