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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  
LBNN: Perceiving the state changes of a core telecommunications network via linear bayesian neural network Conference paper
Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Authors:  Lin,Yanying;  Ye,Kejiang;  Chen,Ming;  Deng,Naitian;  Wu,Tailin;  Xu,Cheng Zhong
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Linear Bayesian Neural Network  State Change Perception  Telecommunications Core Network  
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  
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
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Graph Convolutional Networks  Spatial-Temporal Model  Traffic Forecasting  
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment Journal article
IEEE Transactions on Computers, 2020,Volume: 69,Issue: 10,Page: 1519-1532
Authors:  Du, Mingzhe;  Wang, Yang;  Ye,Kejiang;  Xu, Chengzhong
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Cloud Computing  Computation Offloading  Edge Computing  Max-2sat  Min-cut  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Proceedings of the International Joint Conference on Neural Networks
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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GCN  LSTM  Passenger flow forecasting  Spatial-Temporal Forecasting  
A Destination Prediction Model for Individual Passengers in Urban Rail Transit Conference paper
2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
Authors:  Wang,Hao;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Cheng Zhong;  Zhang,Liutao;  Zhang,Jun;  Sun,Jing
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Context feature  Destination prediction  Group feature  Individual feature  Multi-nominal Logit model  
Understanding the Workload Characteristics in Alibaba: A View from Directed Acyclic Graph Analysis Conference paper
2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
Authors:  Lu,Chengzhi;  Chen,Wenyan;  Ye,Kejiang;  Xu,Cheng Zhong
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cloud computing  dependency graph analysis  workload characterization  workload type  
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation Journal article
International Journal of Parallel Programming, 2020,Volume: 48,Issue: 1,Page: 61-79
Authors:  Yang,Wensi;  Yao,Qingfeng;  Ye,Kejiang;  Xu,Cheng Zhong
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Convolutional neural networks  Empirical mode decomposition  Reliability  Remaining useful life  
The strong substructure and feature attention mechanism for image semantic segmentation Journal article
Concurrency Computation, 2020
Authors:  Zhang,Yuhang;  Ren,Hongshuai;  Yang,Wensi;  Wang,Yang;  Ye,Kejiang;  Xu,Cheng Zhong
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a cross-channel structure  satellite image recognition  semantic segmentation