A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. - Zhuo Liu; Linong Ji; Xuehan Jiang; Wei Zhao; Xiyang Liao; Tingting Zhao; Siqi Liu; Xingzhi Sun 002; Gang Hu 001; Mengling Feng; Guotong Xie (ICHI, 2020)

Graph Convolutional Network Enabled Two-Stream Learning Architecture for Diabetes Classification based on Flash Glucose Monitoring Data. - Yicun Liu; Wei Liu; Haorui Chen; Xiaoling Cai; Rui Zhang; Zhe An; Dawei Shi; Linong Ji (Biomed. Signal Process. Control., 2021)

Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control. - Deheng Cai; Wei Liu; Linong Ji; Dawei Shi (CoRR, 2021)

Data-enabled learning and control algorithms for intelligent glucose management: The state of the art. - Deheng Cai; Wenjing Wu; Marzia Cescon; Wei Liu; Linong Ji; Dawei Shi (Annu. Rev. Control., 2023)

A dual-attention based coupling network for diabetes classification with heterogeneous data. - Lei Wang 231; Zhenglin Pan; Wei Liu; Junzheng Wang; Linong Ji; Dawei Shi (J. Biomed. Informatics, 2023)

An Insulin-Sensitivity-Aware Meal-Bolus Decision Method Based on Event-Triggered Adaptive Dynamic Programming. - Xiang Lu; Deheng Cai; Wei Liu; Linong Ji; Dawei Shi (IEEE Trans Autom. Sci. Eng., 2025)

A Switched Neural Process for Long-Term Postprandial Glucose Trajectory Prediction Based on Insulin Sensitivity Estimation. - Jing Chen 042; Dawei Shi; Deheng Cai; Wei Liu 167; Linong Ji; Ling Shi 001 (IEEE Trans. Instrum. Meas., 2025)

Kernel-Based Learning With Adaptive Physiological Constraints for Personalized Postprandial Glucose Prediction. - Suhao Feng; Deheng Cai; Jing Chen 042; Dawei Shi; Ling Shi 001; Wei Liu 167; Linong Ji (IEEE Trans. Control. Syst. Technol., 2025)