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AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network Conference paper
Milan, Jan 10-15, 2021
Authors:  Yuhang Zhang;  Hongshuai Ren;  Jiexia Ye;  Xitong Gao;  Yang Wang;  Kejiang Ye;  Cheng-Zhong Xu
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Graph Convolutional Network  Adjacency Matrix  End-to-end  Node Information Entropy  
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
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Gcn  Graph Convolutional Network  Gru  Relationship  Stock Movement  Stock Price  
MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction Conference paper
Milan, 10-15 Jan. 2021
Authors:  Jingjie Guo;  Kelang Tian;  Kejiang Ye;  Cheng-Zhong Xu
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Multi-attention  Traffic Prediction  Handwriting Recognition  Language Model  
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
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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  
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  
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  
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  
PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs Conference paper
CLOUD 2020: Cloud Computing – CLOUD 2020, Honolulu, HI, September 18-20, 2020
Authors:  Yongzhong Sun;  Kejiang Ye;  Cheng-Zhong Xu
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Cloud Monitoring  Log Collection  Rule-based Alerts  Workload Analysis  Data Visualization  
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems Conference paper
BIGDATA 2020: Big Data – BigData 2020, Honolulu, HI, USA, 18 September 2020 - 20 September 2020
Authors:  Jiexia Ye;  JuanJuan Zhao;  Liutao Zhang;  ChengZhong Xu;  Jun Zhang;  Kejiang Ye
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Metro Systems  Afc Data  Data Mining  Intelligent Transportation Systems  Dynamic Od Flow