UM

Browse/Search Results:  1-10 of 16 Help

Selected(0)Clear Items/Page:    Sort:
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
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Dynamic service migration  Mobile edge computing  Q-learning  Reinforcement learning  Software-defined networking  
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
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:2 TC[Scopus]:5 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
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
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
a cross-channel structure  satellite image recognition  semantic segmentation  
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]:0 | 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  
Adgs: Anomaly detection and localization based on graph similarity in container-based clouds Conference paper
Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Authors:  Lu,Chengzhi;  Ye,Kejiang;  Chen,Wenyan;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/03/09
Anomaly detection  Anomaly localization  Cloud computing  Graph similarity