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500余篇，其中SCI论文200余篇，EI论文300余篇。

2023年部分论文：

[1].Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu:Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. ASPLOS 2023: 62-77

[2].Kafeng Wang, Pengyang Wang, Chengzhong Xu:Toward Efficient Automated Feature Engineering. ICDE 2023

[3].Dongping Liao, Xitong Gao, Yiren Zhao, Chengzhong Xu:Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. CVPR 2023: 20432-20441

[4].Chengzhi Lu,Huanle Xu, Kejiang Ye, Guoyao Xu,Liping Zhao,Guodong Yang,Cheng-Zhong Xu，Understanding and OptimizingWorkloads for Unified Resource Management in Large Cloud Platforms，EuroSys 2023

        [5]. Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. ICCV 2023: 4539-4549

        [6]. Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu:Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach. SC 2023: 30:1-30:15

        [7].]Yang Wang, Hao Dai, Xinxin Han, Pengfei Wang, Yong Zhang, Chengzhong Xu:Cost-Driven Data Caching in Edge-Based Content Delivery Networks. IEEE Trans. Mob. Comput. 22(3): 1384-1400 (2023)

        [8]. Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Cheng-Zhong Xu:Joint Semantic Transfer Network for IoT Intrusion Detection. IEEE Internet Things J. 10(4): 3368-3383 (2023) 

        [9]. Shuai Wang, Chengyang Li, Derrick Wing Kwan Ng, Yonina C. Eldar, H. Vincent Poor, Qi Hao, Cheng-Zhong Xu:Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification. IEEE Netw. 37(3): 16-25 (2023)

        [10]. Jiashu Wu, Hao Dai, Yang Wang, Yong Zhang, Dong Huang, Cheng-Zhong Xu:PackCache: An Online Cost-Driven Data Caching Algorithm in the Cloud. IEEE Trans. Computers 72(4): 1208-1214 (2023)

2022年部分论文：

[1].Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu:esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. ACM Trans. Internet Techn. (2022)

[2].Shuai Wang, Ruihua Han, Yuncong Hong, Qi Hao, Miaowen Wen, Leila Musavian, Shahid Mumtaz, Derrick Wing Kwan Ng:Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation. IEEE Commun. Mag.  (2022)

[3].Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu:GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. (2022)

[4].Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu:An In-Depth Study of Microservice Call Graph and Runtime Performance. IEEE Trans. Parallel Distributed Syst.(2022)

[5].Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu:Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions. IEEE Trans. Computers (2022)

[6].Juanjuan Zhao, Liutao Zhang, Jiexia Ye, Cheng-Zhong Xu:MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems. IEEE Trans. Intell. Transp. Syst. (2022)

[7].Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu:Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization. IEEE Trans. Cloud Comput. (2022)

[8].Peng Lin, Kejiang Ye,Yishen Hu, Yanying Lin,and Cheng-Zhong Xu: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification. IEEE/ACM Transactions on Networking, 2022

[9].Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack. NIPS 2022

[10].Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins: Rapid Model Architecture Adaption for Meta-Learning. NIPS 2022

2021年部分论文：

[1]. Tianhui Meng, Yubin Zhao, Katinka Wolter, Cheng-Zhong Xu:On Consortium Blockchain Consistency: A Queueing Network Model Approach. IEEE Trans. Parallel Distributed Syst

[2]. Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Software - Practice and Experience 

[3]. Weiwei Liu, Huaming Wu, Tianhui Meng, Rui Wang, Yang Wang, Chengzhong Xu:AucSwap: A Vickrey auction modeled decentralized cross-blockchain asset transfer protocol. Journal of Systems Architecture

[4]. Yang Wang, Hao Dai, Xinxin Han, Pengfei Wang, Yong Zhang, Chengzhong Xu: Cost-Driven Data Caching in Edge-based Content Delivery Networks. IEEE Transactions on Mobile Computing 

[5]. Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. IEEE Internet of Things Journal (2021)

[6]. Li Li, Xiaorui Wang, Wenli Zheng, Cheng-Zhong Xu:SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance. INFOCOM 2021

[7]. Yang Wang,Yong Zhang,Xinxin Han,Pengfei Wang,Chengzhong Xu,Joseph Horton and Joseph Culberson:Cost-Driven Data Caching in the Cloud: An Algorithmic Approach. INFOCOM 2021

[8]. Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:LAFEAT: Piercing Through Adversarial Defenses With Latent Features. CVPR 2021

[9]. Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu:Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. SoCC 2021

[10]. Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning. CLUSTER 2021

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