Chengzhe Piao

14 papers A* 4Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach.
IEEE J. Biomed. Health Informatics
Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2025 J jnl
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series.
Neural Networks
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2024 J jnl
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series.
CoRR
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2024 J jnl
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge.
IEEE Trans. Biomed. Circuits Syst.
Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou
2024 J jnl
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach.
CoRR
Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2023 J jnl
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning.
CoRR
Chengzhe Piao, Ken Li
2023 A* conf
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract).
ICDE
Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu
2022 A* conf
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning.
ICDE
Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang
2022 J jnl
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM.
IEEE Trans. Knowl. Data Eng.
Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu
2021 A* conf
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM.
ICDE
Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang, Kin K. Leung
2021 J jnl
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning.
IEEE Trans. Netw. Sci. Eng.
Yu Wang, Chengzhe Piao, Chi Harold Liu, Chijin Zhou, Jian Tang
2020 J jnl
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach.
IEEE Internet Things J.
Chengzhe Piao, Chi Harold Liu
2020 A* conf
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning.
INFOCOM
Chi Harold Liu, Chengzhe Piao, Jian Tang
2018 J jnl
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun.
Chi Harold Liu, Zheyu Chen, Jian Tang, Jie Xu, Chengzhe Piao