Chengzhe Piao

Orcid: 0000-0003-0494-5098

According to our database1, Chengzhe Piao authored at least 11 papers between 2018 and 2024.

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Bibliography

2024
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge.
IEEE Trans. Biomed. Circuits Syst., April, 2024

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series.
CoRR, 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

Modeling Citywide Crowd Flows using Attentive Convolutional LSTM.
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

Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning.
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


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