| 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 | 617 | 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 | 70 | 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 | 44 | 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 34 (5), 2472-2484, 2020 | 28 | 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 | 25 | 2021 |
| 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 | 20 | 2024 |
| 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 | 13 | 2022 |
| 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 | 9 | 2020 |
| 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 Neural Networks, 107229, 2025 | 3 | 2025 |
| Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning C Piao, K Li arXiv preprint arXiv:2312.12541, 2023 | 3 | 2023 |
| Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach C Piao, T Zhu, Y Wang, SE Baldeweg, P Taylor, P Georgiou, J Sun, ... arXiv preprint arXiv:2406.15346, 2024 | | 2024 |
| Graph-Based Explainable Method for Blood Glucose Prediction through Federated Learning C Piao, K Li Deep Learning in Diabetes Mellitus Detection and Diagnosis, 38-54, 0 | | |
| SPECIAL SECTION ON SELECTED PAPERS FROM THE 2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS T Zhu, L Kuang, C Piao, J Zeng, K Li, P Georgiou, IG Vasilas, ... | | |