Chengzhe Piao
Cited by
Cited by
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
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
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
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, 2020
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–7