Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach. - Chi Harold Liu; Zheyu Chen 001; Jian Tang 008; Jie Xu; Chengzhe Piao (IEEE J. Sel. Areas Commun., 2018)

Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. - Chi Harold Liu; Chengzhe Piao; Jian Tang 008 (INFOCOM, 2020)

Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach. - Chengzhe Piao; Chi Harold Liu (IEEE Internet Things J., 2020)

Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. - Chi Harold Liu; Chengzhe Piao; Xiaoxin Ma; Ye Yuan 001; Jian Tang 008; Guoren Wang; Kin K. Leung (ICDE, 2021)

Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning. - Yu Wang 115; Chengzhe Piao; Chi Harold Liu; Chijin Zhou; Jian Tang 008 (IEEE Trans. Netw. Sci. Eng., 2021)

Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. - Yu Wang 115; Chi Harold Liu; Chengzhe Piao; Ye Yuan 001; Rui Han 001; Guoren Wang; Jian Tang 008 (ICDE, 2022)

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM. - Chi Harold Liu; Yu Wang 115; Chengzhe Piao; Zipeng Dai; Ye Yuan 001; Guoren Wang; Dapeng Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract). - Chi Harold Liu; Yu Wang 115; Chengzhe Piao; Zipeng Dai; Ye Yuan 001; Guoren Wang; Dapeng Wu 001 (ICDE, 2023)

Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning. - Chengzhe Piao; Ken Li (CoRR, 2023)

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. - Chengzhe Piao; Taiyu Zhu; Yu Wang; Stephanie E. Baldeweg; Paul Taylor; Pantelis Georgiou; Jiahao Sun; Jun Wang; Kezhi Li (CoRR, 2024)

Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. - Taiyu Zhu; Lei Kuang; Chengzhe Piao; Junming Zeng; Kezhi Li; Pantelis Georgiou (IEEE Trans. Biomed. Circuits Syst., 2024)

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series. - Chengzhe Piao; Taiyu Zhu; Stephanie E. Baldeweg; Paul Taylor; Pantelis Georgiou; Jiahao Sun; Jun Wang; Kezhi Li (Neural Networks, 2025)