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  • 自中心成立以来,累计在云计算和大数据领域累计发表论文350余篇,其中SCI论文100余篇,EI论文200余篇。

    2020年部分论文:

    [1]Mingzhe Du, Yang Wang , Kejiang Ye , and Chengzhong Xu, Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment, IEEE TRANSACTIONS ON COMPUTERS

    [2]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu and Dejing Dou,COMO: Widening Deep Convolutional Neural Networks with Convolutional MaxOut,IEEE Transaction on Multimedia 2020

    [3]Shuhui Chu , Zhiyi Fang, Shinan Song, Zhanyang Zhang,Chengxi Gao,Chengzhong Xu,Efficient Multi-Channel Computation Offloading for Mobile Edge Computing: A Game-Theoretic Approach,IEEE Transactions on Cloud Computing

    [4]Zhiyong Ye,  Yang Wang, Shuibing He, Chengzhong Xu, and Xianhe Sun,Sova: A Software-Defined Autonomic Framework for Virtual Network Allocations,IEEE Transactions on Parallel and Distributed Systems

    [5]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu, How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A survey, IEEE Transactions on intelligent transportation System

    [6]Kafeng Wang, Haoyi Xiong, Jian Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou,Sampling Sparse Representations with Randomized Measurement Langevin Dynamics,ACM Transactions on Knowledge Discovery from Data

    [7]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

    [8]Li Li, Jun Wang, Xu Chen, ChengZhong Xu,Multi-Layer Coordination for High-Performance Energy-Efficient Federated Learning,IWQOS 2020

    [9]Li Li, Xiaorui Wang and Feng Qin,EnergyDx: Diagnosing Energy Anomaly in Mobile Apps by Identifying the Manifestation Point,ICDCS 2020 

    [10]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Pay Attention to Features, Transfer Learn Faster CNNs, International Conference on Learning Representations 2020


    2019年部分论文:

    [1]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 2019

    [2]Minxian Xu; Rajkumar Buyya,Managing Renewable Energy and Carbon Footprint in Multi-cloud Computing Environments,JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 2020

    [3]Yubin Zhao; Xiaofan Li;Yuefeng Ji; Cheng-Zhong Xu,Wireless Power-driven Positioning System: Fundamental Analysis and Resource Allocation,IEEE Internet of Things Journal 2019

    [4]Chengxi Gao; Victor C.S. Lee; Keqin Li,D-SRTF: Distributed Shortest Remaining Time First Scheduling for Data Center Networks,IEEE TRANSACTIONS ON CLOUD COMPUTING 2019

    [5]Wenyan Chen; Kejiang Ye;Cheng-Zhi Lu; Dong-Dai Zhou; Cheng-Zhong Xu,Interference Analysis of Co-located Container Workloads: A Perspective from Hardware Performance Counters,Journal of Computer Science and Technology 2019

    [6]Yubin Zhao;Xiaofan Li;Yuefeng Ji;Cheng-Zhong Xu,Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System,IEEE Internet of Things Journal 2019

    [7]Minxian Xu; Adel N. Toosi; Behrooz Bahrani; Reza Razzaghi; Martin Singh,Optimized Renewable Energy Use in Green Cloud Data Centers,ICSOC 2019

    [8]Dong Huang; Xiaopeng Fan; Yang Wang ; Shuibing He; Chengzhong Xu ,DP_Greedy: A Two-Phase Caching Algorithm for Mobile Cloud Services,2019 IEEE International Conference on Cluster Computing (CLUSTER)

    [9]Yiren Zhao;Xitong Gao;Daniel Bates;Robert Mullins; Cheng-Zhong Xu,Focused Quantization for Sparse CNNs,NeurIPS 2019

    [10]Li Li; Haoyi Xiong; Zhishan Guo; Daxiang Dong; Jun Wang; Cheng-Zhong Xu; Jun Huan ,SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System,RTSS 2019


    2018年部分论文

    [1]Haoyi Xiong; Kafeng Wang; Jiang Bian; Zhanxing Zhu; Cheng-Zhong Xu; Zhishan Guo; Jun Huan. ,SpHMC: Spectral Hamiltonian Monte Carlo ,The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

    [2]Xitong Gao; Yiren Zhao; Lukasz Dudziak; Robert Mullins; Cheng-Zhong Xu,Dynamic Channel Pruning: Feature Boosting and Suppression,iclr 2019

    [3]N. Tziritas; S. Mustafa; M. Koziri; T. Loukopoulos;S. U. Khan; C.-Z. Xu; A. Y. Zomaya,Server Consolidation in Cloud Computing,The 24th IEEE International Conference on Parallel and Distributed Systems(ICPADS) 2018

    [4]Yang Wang; Shuibing He; Xiaopeng Fan; Chengzhong Xu;Xianhe Sun,On Cost-Driven Collaborative Data Caching: A New Model Approach,IEEE Transactions on Parallel and Distributed Systems 2018

    [5]Zhang, Desheng;He, Tian;Zhang, Fan;Xu, Chengzhong,Urban-Scale Human Mobility Modeling With Multi-Source Urban Network Data.,IEEE-ACM TRANSACTIONS ON NETWORKING 2018

    [6]Li Yan; Haiying Shen; Zhuozhao Li; Ankur Sarker; John A. Stankovic; Chenxi Qiu; Juanjuan Zhao;Chengzhong Xu,Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time,Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018

    [7]Guan, Jinping; Xu, Chengzhong,Are relocatees different from others? Relocatee's travel mode choice and travel equity analysis in large-scale residential areas on the periphery of megacity Shanghai, China,TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 2018

    [8]Haixia Mao; Xiaopeng Fan; Jinping Guan; Yeh-Cheng Chen; Haoran Su; Wenzhong Shi; Yubin Zhao; Yang Wang;Chengzhong Xu,Customer Attractiveness Evaluation and Classification of Urban Commercial Centers by Crowd Intelligence,Computers in Human Behavior 2018

    [9]Yeh‑Cheng Chen; Hung‑Min Sun;Ruey‑Shun Chen;Jyh‑haw Yeh;Xiaopeng Fan;I‑Hsin Chou,Intelligent radioactive waste process cloud-based system for nuclear power plant decommissioning,Journal of Ambient Intelligence and Humanized Computing 2018


    2017年部分论文:

    [1]Yang Wang;Shuibing He; Xiaopeng Fan; Chengzhong Xu;Joseph Horton; Joseph Culberson,Data Caching in Next Generation Mobile Cloud Services,the 46th International Conference on Parallel Processing 2017

    [2]Zhao, Yubin;Fan, Xiaopeng;Xu, Cheng-Zhong;Li, Xiaofan,ER-CRLB: An Extended Recursive Cramer-Rao Lower Bound Fundamental Analysis Method for Indoor Localization Systems.,IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2017

    [3]Shuibing He; Yang Wang;Xian-He Sun; Chengzhong Xu,HARL: Optimizing Parallel File Systems with Heterogeneity-Aware Region-Level Data Layout,IEEE Transactions on Computers 2017

    [4]Shuibing He;YangWang; Xian-He Sun; Chuanhe Huang; Chengzhong Xu,Heterogeneity-Aware Collective I/O for Parallel I/O Systems with Hybrid HDD/SSD Servers,IEEE Transactions on Computers 2017

    [5]Shuibing He; Yang Wang; Zhen Li; Xian-He Sun; Chengzhong Xu,Cost-Aware Region-Level Data Placement in Multi-Tiered Parallel I/O Systems,IEEE Transactions on Parallel and Distributed Systems 2017

    [6]He, Shuibing;Wang, Yang;Sun, Xian-He;Xu, Chengzhong,Using MinMax-Memory Claims to Improve In-Memory Workflow Computations in the Cloud,IEEE Transactions on Parallel and Distributed Systems 2017

    [7]Juanjuan Zhao; Fan Zhang; Lai Tu; Cheng-Zhong Xu; Dayong Shen; Chen Tian; Xiang-Yang Li; Zhengxi Li,Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems,IEEE Transactions on Intelligent Transportation Systems 2017

    [8]Xiong, Wen ; Bei, Zhengdong ; Xu, Chengzhong ; Yu, Zhibin,ATH: Auto-Tuning HBase's Configuration via Ensemble Learning,IEEE ACCESS 2017

    [9]Zhendong Bei; Zhibin Yu; Ni Luo; Chuntao Jiang; Chengzhong Xu; Shengzhong Feng,Configuring In-memory Cluster Computing Using Random Forest,FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2018

    [10]Juanjuan Zhao; Qiang Qu; Fan Zhang; Chengzhong Xu; Siyuan Liu,Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data,IEEE Transactions on Intelligent Transportation Systems 2017