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Chengzhe Piao
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Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach
CH Liu, Z Chen, J Tang, J Xu, C Piao
IEEE Journal on Selected Areas in Communications 36 (9), 2059-2070, 2018
5172018
Energy-efficient UAV crowdsensing with multiple charging stations by deep learning
CH Liu, C Piao, J Tang
IEEE INFOCOm 2020-IEEE conference on computer communications, 199-208, 2020
562020
Energy-efficient mobile crowdsensing by unmanned vehicles: A sequential deep reinforcement learning approach
C Piao, CH Liu
IEEE Internet of Things Journal 7 (7), 6312-6324, 2019
352019
Time-aware location prediction by convolutional area-of-interest modeling and memory-augmented attentive lstm
CH Liu, Y Wang, C Piao, Z Dai, Y Yuan, G Wang, D Wu
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2472-2484, 2020
202020
Modeling citywide crowd flows using attentive convolutional LSTM
CH Liu, C Piao, X Ma, Y Yuan, J Tang, G Wang, KK Leung
2021 IEEE 37th International Conference on Data Engineering (ICDE), 217-228, 2021
182021
Human-drone collaborative spatial crowdsourcing by memory-augmented and distributed multi-agent deep reinforcement learning
Y Wang, CH Liu, C Piao, Y Yuan, R Han, G Wang, J Tang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 459-471, 2022
72022
Modeling user interests with online social network influence by memory augmented sequence learning
Y Wang, C Piao, CH Liu, C Zhou, J Tang
IEEE Transactions on Network Science and Engineering 8 (1), 541-554, 2020
72020
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
C Piao, T Zhu, SE Baldeweg, P Taylor, P Georgiou, J Sun, J Wang, K Li
arXiv preprint arXiv:2402.16230, 2024
2024
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge
T Zhu, L Kuang, C Piao, J Zeng, K Li, P Georgiou
IEEE Transactions on Biomedical Circuits and Systems, 2024
2024
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning
C Piao, K Li
arXiv preprint arXiv:2312.12541, 2023
2023
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