Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. - Xulong Wang 001; Gaoshan Bi; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. - Gaoshan Bi; Yu Zhang 128; Qing Xue; Yang Li; Zhipeng Yuan; Kang Liu; Tong Liu 014; Po Yang 001 (INDIN, 2024)

TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management. - Yu Zhang 128; Gaoshan Bi; Simon Jeffery; Max Davis; Yang Li; Qing Xue; Po Yang 001 (ICIT, 2025)

Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England. - Zhipeng Yuan; Yu Zhang 128; Gaoshan Bi; Po Yang 001 (CoRR, 2025)

Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. - Po Yang 001; Gaoshan Bi; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Lida Xu (Inf. Syst. Frontiers, 2025)

KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction. - Yu Zhang 128; Gaoshan Bi; Simon Jeffery; Max Davis; Yang Li; Qing Xue; Po Yang 001 (CoRR, 2025)