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Chengzhe Piao
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2020 – today
- 2024
- [j5]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): 236-246 (2024) - [i3]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 abs/2402.16230 (2024) - [i2]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 abs/2406.15346 (2024) - 2023
- [c4]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: 3861-3862 - [i1]Chengzhe Piao, Ken Li:
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning. CoRR abs/2312.12541 (2023) - 2022
- [j4]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): 2472-2484 (2022) - [c3]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: 459-471 - 2021
- [j3]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): 541-554 (2021) - [c2]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: 217-228 - 2020
- [j2]Chengzhe Piao
, Chi Harold Liu
:
Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach. IEEE Internet Things J. 7(7): 6312-6324 (2020) - [c1]Chi Harold Liu, Chengzhe Piao
, Jian Tang:
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. INFOCOM 2020: 199-208
2010 – 2019
- 2018
- [j1]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): 2059-2070 (2018)
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