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叶可江，卢澄志，王卅，陈文艳，徐国耀，郭静. 云原生系统应用分析建模与智能管理, 中国计算机学会通讯, 16(6), pp.37-43, 2020.
Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu. Multi-tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization, IEEE Transactions on Cloud Computing, 2020. DOI:10.1109/TCC.2020.2975788
Mingzhe Du, Yang Wang, Kejiang Ye, Cheng-Zhong Xu. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment, IEEE Transactions on Computers, vol.69, no.10, pp.1519-1531, 2020.
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu. How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey, IEEE Transactions on Intelligent Transportation Systems, 2020. DOI: 10.1109/TITS.2020.3043250
Yang Wang, Shan Cao, Hongshuai Ren, Jianjun Li, Kejiang Ye*, Cheng-Zhong Xu, Xi Chen. Towards Cost-Effective Service Migration in Mobile Edge: A Q-Learning Approach, Journal of Parallel and Distributed Computing, vol.146, pp.175-188, 2020.
Wenyan Chen, Kejiang Ye*, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu. Interference Analysis of Co-located Container Workloads: A Perspective from Hardware Performance Counters, Journal of Computer Science and Technology, vol.35, no.2, pp.412-417, 2020.
Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye*, Cheng-Zhong Xu. The Strong Sub-structure and Feature Attention Mechanism for Image Semantic Segmentation, Concurrency and Computation: Practice and Experience, 2020. DOI:10.1002/cpe.5920
Wensi Yang, Qingfeng Yao, Kejiang Ye*, Cheng-Zhong Xu. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation, International Journal of Parallel Programming, vol.48, no.1, pp.61-79, 2020.
Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, ChengZhong Xu. HySync:Hybrid Federated Learning with Effective Synchronization, International Conference on High Performance Computing and Communications (HPCC), pp.628-633, 2020.
Yanying Lin, Kejiang Ye*, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu. LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network, 26th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp.72-80, 2020.
Kelang Tian, Jingjie Guo, Kejiang Ye*, Cheng-Zhong Xu. Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting, 32th International Conference on Tools with Artificial Intelligence (ICTAI), pp.714-721, 2020.
Jingjie Guo, Kelang Tian, Kejiang Ye*, Cheng-Zhong Xu. MA-LSTM: A Multi-attention Based LSTM for Complex Pattern Extraction, 25th International Conference on Pattern Recognition (ICPR), pp.3605-3611, 2020.
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye*, Cheng-Zhong Xu. AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network, 25th International Conference on Pattern Recognition (ICPR), pp.5130-5136, 2020.
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu. Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction, 25th International Conference on Pattern Recognition (ICPR), pp.6702-6709, 2020.
Yongzhong Sun, Kejiang Ye*, Cheng-Zhong Xu. PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs, 2020 International Conference on Cloud Computing (CLOUD), pp.111-125, 2020.
Shujian Ji, Kejiang Ye*, Cheng-Zhong Xu. A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder, 2020 International Conference on Cloud Computing (CLOUD), pp.126-140, 2020.
Rui Wang, Kejiang Ye*, Tianhui Meng, Cheng-Zhong Xu. Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos, 2020 International Conference on Services Computing (SCC), pp.120-134, 2020.
Jiexia Ye, Juanjuan Zhao, Chengzhong Xu and Kejiang Ye. Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting, 2020 International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2020.
Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Chengzhong Xu, Jun Zhang and Kejiang Ye. A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems, 2020 International Conference on Big Data (BigData), pp.116-126, 2020.
Chengzhi Lu, Wenyan Chen, Kejiang Ye*, Cheng-Zhong Xu. Understanding the Workload Characteristics in Alibaba: A View from Directed Acyclic Graph Analysis, 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.1-8, 2020. (Best Paper Award!!)
Hao Wang, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu, Liutao Zhang, Jun Zhang, Jing Sun. A Destination Prediction Model for Individual Passengers in Urban Rail Transit, 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pp.138-143, 2020.
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