Chengzhe Piao
Orcid: 0000-0003-0494-5098
According to our database1,
Chengzhe Piao authored at least 12 papers
between 2018 and 2026.
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Bibliography
2026
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach.
IEEE J. Biomed. Health Informatics, February, 2026
2025
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series.
Neural Networks, 2025
2024
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge.
IEEE Trans. Biomed. Circuits Syst., April, 2024
2023
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning.
CoRR, 2023
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM.
IEEE Trans. Knowl. Data Eng., 2022
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning.
IEEE Trans. Netw. Sci. Eng., 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
2018
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2018