Chengzhe Piao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Energy Efficient

Reinforcement Learning

Behavioural Cloning

Top Venues

IEEE Trans. Biomed. Circuits Syst.

IEEE J. Sel. Areas Commun.

Publications

Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. CoRR (2024)
Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. IEEE Trans. Biomed. Circuits Syst. 18 (2) (2024)
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series. CoRR (2024)
Chengzhe Piao, Ken Li
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning. CoRR (2023)
Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). ICDE (2023)
Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. ICDE (2022)
Chi Harold Liu, Yu Wang, Chengzhe Piao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu
Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Yu Wang, Chengzhe Piao, Chi Harold Liu, Chijin Zhou, Jian Tang
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning. IEEE Trans. Netw. Sci. Eng. 8 (1) (2021)
Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang, Kin K. Leung
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. ICDE (2021)
Chi Harold Liu, Chengzhe Piao, Jian Tang
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. INFOCOM (2020)
Chengzhe Piao, Chi Harold Liu
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach. IEEE Internet Things J. 7 (7) (2020)
Chi Harold Liu, Zheyu Chen, Jian Tang, Jie Xu, Chengzhe Piao
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 36 (9) (2018)