2020 Conference List
Author | Paper Name, Publication, Year |
Jingya LV, Yang WANG, Tianhui MENG, Cheng-Zhong XU | “NLC: An Efficient Caching Algorithm Based on Non-critical Path Least Counts for In-Memory Computing” Cloud 2020, 2020 |
Jingjie GUO, Kelang TIAN, Kejiang YE, Cheng-Zhong Xu | “MA-LSTM: A Multi-attention Based LSTM for Complex Pattern Extraction” ICPR 2020, 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” ICPR 2020, 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 2020), 2020 |
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” HPBD&IS 2020, 2020 |
Yang WANG, Yong ZHANG, Xinxin HAN, Pengfei WAGN, Cheng-Zhong XU, Joseph HORTON, Joseph CULBERSON | “Cost-Driven Data Caching in the Cloud:An Analytic Approach” INFOCOM 2021, 2020 |
Guomei SHI, Li LI, Jun WANG, Wenyan CHEN, Kejiang YE, Cheng-Zhong XU | “HySync: Hybrid Federated Learning with EffectiveSynchronization” International Conference on High Performance Computing and Communications, 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’2020), 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’2020), 2020 |
Li LI, Jun WANG, Cheng-Zhong XU | “FLSim: An Extensible and Reusable Simulation Framework for Federated Learning” EAI SIMUtools 2020, 2020 |