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Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Conference paper
Milan, 10-15 Jan. 2021
Authors:  Jiexia Ye;  Juanjuan Zhao;  Kejiang Ye;  Chengzhong Xu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/09/18
Gcn  Graph Convolutional Network  Gru  Relationship  Stock Movement  Stock Price  
FLSim: An Extensible and Reusable Simulation Framework for Federated Learning Conference paper
SIMUtools 2020: Simulation Tools and Techniques, Guiyang, 28 August 2020 - 29 August 2020
Authors:  Li Li;  Jun Wang;  ChengZhong Xu
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How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Journal article
IEEE Transactions on Intelligent Transportation Systems, 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:11 | Submit date:2021/03/09
Accidents  Computer Architecture  Deep Learning  Deep Learning  Gcn  Gnns  Graph  Graph Convolution Network  Graph Neural Networks  Its.  Public Transportation  Roads  Task Analysis  Traffic Domain  Traffic Forecasting  Urban Areas  
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior Journal article
Concurrency Computation, 2020
Authors:  Zhao,Juanjuan;  Ye,Jiexia;  Xu,Minxian;  Xu,Chengzhong
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Crowd Behavior  Discrete Choice Model  Individual Destination Prediction  Neural Network  
CD-guide: A reinforcement learning based dispatching and charging approach for electric taxicabs Conference paper
Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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Reinforcement Learning based Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging Conference paper
Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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Towards cost-effective service migration in mobile edge: A Q-learning approach Journal article
Journal of Parallel and Distributed Computing, 2020,Volume: 146,Page: 175-188
Authors:  Wang,Yang;  Cao,Shan;  Ren,Hongshuai;  Li,Jianjun;  Ye,Kejiang;  Xu,Chengzhong;  Chen,Xi
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Dynamic Service Migration  Mobile Edge Computing  Q-learning  Reinforcement Learning  Software-defined Networking  
HySync: Hybrid Federated Learning with Effective Synchronization Conference paper
Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
Authors:  Shi,Guomei;  Li,Li;  Wang,Jun;  Chen,Wenyan;  Ye,Kejiang;  Xu,Chengzhong
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Efficient scheduling  Federated learning  hybrid algorithm  
Mobicharger: Optimal scheduling for cooperative EV-to-EV dynamic wireless charging Conference paper
Proceedings - International Conference on Distributed Computing Systems
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning Journal article
ACM Transactions on Internet Technology, 2020,Volume: 20,Issue: 4
Authors:  Ren,Hongshuai;  Wang,Yang;  Xu,Chengzhong;  Chen,Xi
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Cloud Computing  Deep Reinforcement Learning  Dynamic Service Migration  Mobile Access  Q-learning  Rnn