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Characterizing microservice dependency and performance: Alibaba trace analysis Conference paper
SoCC 2021 - Proceedings of the 2021 ACM Symposium on Cloud Computing
Authors:  Luo, Shutian;  Xu, Huanle;  Lu, Chengzhi;  Ye, Kejiang;  Xu, Guoyao;  Zhang, Liping;  Ding, Yu;  He, Jian;  Xu, Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
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]:13 | 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  
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]:1 TC[Scopus]:2 | Submit date:2021/03/09
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, ELECTR NETWORK, DEC 02-04, 2020
Authors:  Lin,Yanying;  Ye,Kejiang;  Chen,Ming;  Deng,Naitian;  Wu,Tailin;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/05/31
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, Yanuca Island, Cuvu, Fiji, 14-16 Dec. 2020
Authors:  Shi,Guomei;  Li,Li;  Wang,Jun;  Chen,Wenyan;  Ye,Kejiang;  Xu,Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/05/31
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, ELECTR NETWORK, NOV 09-11, 2020
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
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Graph Convolutional Networks  Spatial-temporal Model  Traffic Forecasting  
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, Glasgow, UK, 19-24 July 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:5 | Submit date:2021/03/09
Gcn  Lstm  Passenger Flow Forecasting  Spatial-temporal Forecasting  
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]:1 TC[Scopus]:2 | Submit date:2021/03/09
a Cross-channel Structure  Satellite Image Recognition  Semantic Segmentation  
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), Shenzhen, China, 23-23 May 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  Workload Characterization  Dependency Graph Analysis  Workload Type  
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&IS), Shenzhen, China, 23-23 May 2020
Authors:  Wang,Hao;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Cheng Zhong;  Zhang,Liutao;  Zhang,Jun;  Sun,Jing
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Multi-nominal Logit Model  Group Feature  Individual Feature  Context Feature  Destination Prediction