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ORCIDCheng-Zhong Xu 0001
Chengzhong Xu 0001
Person information
- affiliation: University of Macau, SAR, China
- affiliation: Shenzhen Institutes of Advanced Technology, China
- affiliation (former): Wayne State University, Detroit, USA
Other persons with the same name
- Cheng-Zhong Xu 0002
![[0000-0003-1622-778X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1622-778X")
(aka: Chengzhong Xu 0002) — Laboratoire d'Automatique et de Génie des Procédés, Villeurbanne, France (and 1 more)
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2020 – today
- 2022
[j135]Yongliang Yang, Cheng-Zhong Xu:
Adaptive Fuzzy Leader-Follower Synchronization of Constrained Heterogeneous Multiagent Systems. IEEE Trans. Fuzzy Syst. 30(1): 205-219 (2022)- [j134]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16(3): 42:1-42:20 (2022) - 2021
- [j133]Baoxin Zhao, Cheng-Zhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li:
Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales. Concurr. Comput. Pract. Exp. 33(6) (2021) - [j132]Wenlong Tian, Ruixuan Li, Cheng-Zhong Xu, Zhiyong Xu:
Sed-Dedup: An efficient secure deduplication system with data modifications. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j131]Yubin Zhao, Xiaofan Li, Huaming Wu, Cheng-Zhong Xu:
Energy Beamforming for Cooperative Localization in Wireless-Powered Communication Network. IEEE Internet Things J. 8(17): 13750-13762 (2021) - [j130]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. 8(22): 16666-16679 (2021) - [j129]Weiwei Liu, Huaming Wu, Tianhui Meng, Rui Wang, Yang Wang, Chengzhong Xu:
AucSwap: A Vickrey auction modeled decentralized cross-blockchain asset transfer protocol. J. Syst. Archit. 117: 102102 (2021) - [j128]Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15(2): 21:1-21:21 (2021) - [j127]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou:
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23: 1722-1730 (2021) - [j126]Zhiyong Ye, Yang Wang, Shuibing He, Chengzhong Xu, Xian-He Sun:
Sova: A Software-Defined Autonomic Framework for Virtual Network Allocations. IEEE Trans. Parallel Distributed Syst. 32(1): 116-130 (2021) - [j125]Tianhui Meng, Yubin Zhao, Katinka Wolter, Cheng-Zhong Xu:
On Consortium Blockchain Consistency: A Queueing Network Model Approach. IEEE Trans. Parallel Distributed Syst. 32(6): 1369-1382 (2021) - [j124]Shaoqi Wang, Aidi Pi, Xiaobo Zhou, Jun Wang, Cheng-Zhong Xu:
Overlapping Communication With Computation in Parameter Server for Scalable DL Training. IEEE Trans. Parallel Distributed Syst. 32(9): 2144-2159 (2021) - [c245]Hangtao He, Kejiang Ye, Cheng-Zhong Xu:
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. IEEE BigData 2021: 1409-1417 - [c244]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: 412-426 - [c243]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: 59-69 - [c242]Yuhao Zhu, Qi Li, Jian Wang, Cheng-Zhong Xu, Zhenan Sun:
One Shot Face Swapping on Megapixels. CVPR 2021: 4834-4844 - [c241]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFEAT: Piercing Through Adversarial Defenses With Latent Features. CVPR 2021: 5735-5745 - [c240]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c239]Liang Gao, Li Li, Yingwen Chen, Wenli Zheng, Chengzhong Xu, Ming Xu:
FIFL: A Fair Incentive Mechanism for Federated Learning. ICPP 2021: 82:1-82:10 - [c238]Boyi Liu, Lujia Wang, Xinquan Chen, Lexiong Huang, Dong Han, Cheng-Zhong Xu:
Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems. ICRA 2021: 4062-4070 - [c237]Yaqing Ding, Yingna Su, Chengzhong Xu, Jian Yang, Hui Kong:
A general elimination strategy for camera motion estimation. ICRA 2021: 9333-9339 - [c236]Bingjie Yan, Boyi Liu, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu, Cheng-Zhong Xu:
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning. IJCNN 2021: 1-8 - [c235]Li Li, Xiaorui Wang, Wenli Zheng, Cheng-Zhong Xu:
SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance. INFOCOM 2021: 1-10 - [c234]Yang Wang, Yong Zhang, Xinxin Han, Pengfei Wang, Chengzhong Xu, Joseph Horton, Joseph C. Culberson:
Cost-Driven Data Caching in the Cloud: An Algorithmic Approach. INFOCOM 2021: 1-10 - [c233]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. NAACL-HLT 2021: 3229-3241 - [c232]Xinquan Chen, Lujia Wang, Xitong Gao, Cheng-Zhong Xu:
Cloud-based Robot Path Planning in Dynamic Environments. RCAR 2021: 1355-1360 - [i37]Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu:
DEAL: Decremental Energy-Aware Learning in a Federated System. CoRR abs/2102.03051 (2021) - [i36]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i35]Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou:
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR abs/2103.13941 (2021) - [i34]Yunrui Yu, Xitong Gao, Cheng-Zhong Xu:
LAFEAT: Piercing Through Adversarial Defenses with Latent Features. CoRR abs/2104.09284 (2021) - [i33]Zhenning Li, Hao Yu, Guohui Zhang, Shangjia Dong, Cheng-Zhong Xu:
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning. CoRR abs/2104.09936 (2021) - [i32]Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun:
One Shot Face Swapping on Megapixels. CoRR abs/2105.04932 (2021) - [i31]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. CoRR abs/2106.05584 (2021) - [i30]Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya:
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. CoRR abs/2106.12739 (2021) - [i29]Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao:
Federated Noisy Client Learning. CoRR abs/2106.13239 (2021) - [i28]Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR abs/2107.01528 (2021) - [i27]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. CoRR abs/2107.04835 (2021) - [i26]Zhenning Li, Chengzhong Xu, Guohui Zhang:
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization. CoRR abs/2107.06115 (2021) - [i25]Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR abs/2108.03900 (2021) - [i24]Wenhong Tian, Minxian Xu, Guangyao Zhou, Kui Wu, Chengzhong Xu, Rajkumar Buyya:
Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center. CoRR abs/2110.09913 (2021) - [i23]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. CoRR abs/2110.12377 (2021) - [i22]Yandong Liu, Chengzhong Xu, Hui Kong:
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments. CoRR abs/2111.06017 (2021) - [i21]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. CoRR abs/2112.05683 (2021) - 2020
- [j123]Baoxin Zhao, Xitong Gao, Jianqi Liu, Juanjuan Zhao, Cheng-Zhong Xu:
Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction. IEEE Access 8: 76632-76641 (2020) - [j122]Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu:
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation. Int. J. Parallel Program. 48(1): 61-79 (2020) - [j121]Yandong Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu:
A Novel Labour Division Strategy based on fixed response Threshold Model for Warehouse Systems. Int. J. Robotics Autom. 35(2) (2020) - [j120]Yubin Zhao, Xiaofan Li, Yuefeng Ji, Cheng-Zhong Xu:
Random Energy Beamforming for Magnetic MIMO Wireless Power Transfer System. IEEE Internet Things J. 7(3): 1773-1787 (2020) - [j119]Wen-Yan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu:
Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. J. Comput. Sci. Technol. 35(2): 412-417 (2020) - [j118]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. J. Parallel Distributed Comput. 146: 175-188 (2020) - [j117]Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu:
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data. IEEE Robotics Autom. Lett. 5(2): 3509-3516 (2020) - [j116]Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu:
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers 69(10): 1519-1532 (2020) - [j115]Nikos Tziritas, Samee U. Khan, Thanasis Loukopoulos, Spyros Lalis, Cheng-Zhong Xu, Keqin Li, Albert Y. Zomaya:
Online Inter-Datacenter Service Migrations. IEEE Trans. Cloud Comput. 8(4): 1054-1068 (2020) - [j114]Hongshuai Ren, Yang Wang, Chengzhong Xu, Xi Chen:
SMig-RL: An Evolutionary Migration Framework for Cloud Services Based on Deep Reinforcement Learning. ACM Trans. Internet Techn. 20(4): 43:1-43:18 (2020) - [c231]Ziyue Hu, Menglu Wu, Xiaopeng Fan, Yang Wang, Cheng-Zhong Xu:
MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing. BigData Congress 2020: 101-115 - [c230]Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye:
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. BigData Congress 2020: 116-126 - [c229]Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Chengzhong Xu, Rajkumar Buyya:
Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations. CCGRID 2020: 489-498 - [c228]Yongliang Yang, Hamidreza Modares, Kyriakos G. Vamvoudakis, Cheng-Zhong Xu:
Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates. CDC 2020: 6216-6221 - [c227]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: 80-95 - [c226]Yongzhong Sun, Kejiang Ye, Cheng-Zhong Xu:
PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs. CLOUD 2020: 111-125 - [c225]Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder. CLOUD 2020: 126-140 - [c224]Tongzheng Sun, Jingpan Xiong, Yang Wang, Tianhui Meng, Xi Chen, Cheng-Zhong Xu:
RS-pCloud: A Peer-to-Peer Based Edge-Cloud System for Fast Remote Sensing Image Processing. EDGE 2020: 15-22 - [c223]Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu:
HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity 2020: 628-633 - [c222]Ziyue Hu, Xiaopeng Fan, Yang Wang, Chengzhong Xu:
FastThetaJoin: An Optimization on Multi-way Data Stream θ-join with Range Constraints. ICA3PP (1) 2020: 174-189 - [c221]Zhi Liu, Haowen Wu, Tongxin Bai, Yang Wang, Chengzhong Xu:
Towards Elastic Data Warehousing by Decoupling Data Management and Computation. ICCBDC 2020: 52-57 - [c220]Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu:
MobiCharger: Optimal Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging. ICDCS 2020: 1193-1194 - [c219]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu:
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020 - [c218]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML 2020: 6010-6019 - [c217]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. ICPADS 2020: 72-80 - [c216]Jingjie Guo, Kelang Tian, Kejiang Ye, Cheng-Zhong Xu:
MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction. ICPR 2020: 3605-3611 - [c215]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: 5130-5136 - [c214]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR 2020: 6702-6709 - [c213]Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu:
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting. ICTAI 2020: 714-721 - [c212]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN 2020: 1-8 - [c211]Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong:
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration. IROS 2020: 2051-2058 - [c210]Ying Wang, Zezhou Sun, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong:
LiDAR Iris for Loop-Closure Detection. IROS 2020: 5769-5775 - [c209]Li Li, Jun Wang, Xu Chen, Cheng-Zhong Xu:
Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning. IWQoS 2020: 1-10 - [c208]Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu:
CD-Guide: A Reinforcement Learning based Dispatching and Charging Approach for Electric Taxicabs. MASS 2020: 193-201 - [c207]Li Yan, Haiying Shen, Liuwang Kang, Juanjuan Zhao, Chengzhong Xu:
Reinforcement Learning based Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging. MASS 2020: 401-409 - [c206]Tianhui Meng, Huaming Wu, Zhihao Shang, Yubin Zhao, Cheng-Zhong Xu:
CoOMO: Cost-efficient Computation Outsourcing with Multi-site Offloading for Mobile-Edge Services. MSN 2020: 113-120 - [c205]Rui Wang, Kejiang Ye, Tianhui Meng, Cheng-Zhong Xu:
Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos. SCC 2020: 120-134 - [c204]Li Li, Jun Wang, Chengzhong Xu:
FLSim: An Extensible and Reusable Simulation Framework for Federated Learning. SimuTools (1) 2020: 350-369 - [c203]Yubin Zhao, Junjian Huang, Xiaofan Li, Cheng-Zhong Xu:
Optimal Node Placement for Magnetic Relay and MIMO Wireless Power Transfer Network. WASA (1) 2020: 743-754 - [c202]Fangmin Li, Yubin Zhao, Xiaofan Li, Cheng-Zhong Xu:
Wimage: Crowd Sensing based Heterogeneous Information Fusion for Indoor Localization. WCNC 2020: 1-6 - [i20]Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Cheng-Zhong Xu, Rajkumar Buyya:
Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations. CoRR abs/2002.04860 (2020) - [i19]Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR abs/2004.12443 (2020) - [i18]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR abs/2005.04955 (2020) - [i17]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR abs/2005.11691 (2020) - [i16]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR abs/2007.03349 (2020) - [i15]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR abs/2007.10252 (2020) - [i14]Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong:
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration. CoRR abs/2009.02869 (2020) - [i13]Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya:
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. CoRR abs/2009.03598 (2020) - [i12]Boyi Liu, Lujia Wang, Xinquan Chen, Lexiong Huang, Cheng-Zhong Xu:
Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems. CoRR abs/2010.08303 (2020) - [i11]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou:
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR abs/2010.08532 (2020)
2010 – 2019
- 2019
- [j113]Haixia Mao, Xiaopeng Fan, Jinping Guan, Yeh-Cheng Chen, Haoran Su, Wenzhong Shi, Yubin Zhao, Yang Wang, Cheng-Zhong Xu:
Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence. Comput. Hum. Behav. 100: 218-230 (2019) - [j112]Yubin Zhao, Xiaofan Li, Yuefeng Ji, Cheng-Zhong Xu:
Wireless Power-Driven Positioning System: Fundamental Analysis and Resource Allocation. IEEE Internet Things J. 6(6): 10421-10430 (2019) - [j111]Aftab Ahmed Chandio, Nikos Tziritas, Muhammad Saleem Chandio, Cheng-Zhong Xu:
Energy efficient VM scheduling strategies for HPC workloads in cloud data centers. Sustain. Comput. Informatics Syst. 24 (2019) - [j110]Yang Wang, Shuibing He, Xiaopeng Fan, Cheng-Zhong Xu, Xian-He Sun:
On Cost-Driven Collaborative Data Caching: A New Model Approach. IEEE Trans. Parallel Distributed Syst. 30(3): 662-676 (2019) - [c201]Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan:
SpHMC: Spectral Hamiltonian Monte Carlo. AAAI 2019: 5516-5524 - [c200]Yuhang Zhang, Wensi Yang, Wanlin Sun, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior. AIMS 2019: 13-27 - [c199]Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu:
FFD: A Federated Learning Based Method for Credit Card Fraud Detection. BigData Congress 2019: 18-32 - [c198]Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li:
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. IEEE BigData 2019: 1717-1722 - [c197]Mingzhe Du, Yang Wang, Cheng-Zhong Xu:
On Cost-Driven Computation Offloading in the Edge: A New Model Approach. CCGRID 2019: 488-497 - [c196]Junjian Huang, Yubin Zhao, Xiaofan Li, Cheng-Zhong Xu:
Ultra-Low Power Localization System Using Mobile Cloud Computing. CLOUD 2019: 1-10 - [c195]Jin Hao, Kejiang Ye, Cheng-Zhong Xu:
Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation. CLOUD 2019: 99-113 - [c194]Peng Lin, Kejiang Ye, Cheng-Zhong Xu:
Dynamic Network Anomaly Detection System by Using Deep Learning Techniques. CLOUD 2019: 161-176 - [c193]Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds. CLOUD 2019: 324-339 - [c192]Dong Huang, Xiaopeng Fan, Yang Wang, Shuibing He, Cheng-Zhong Xu:
DP_Greedy: A Two-Phase Caching Algorithm for Mobile Cloud Services. CLUSTER 2019: 1-10 - [c191]Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu:
Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis. HPCC/SmartCity/DSS 2019: 2278-2283 - [c190]Shilin Zhao, Kejiang Ye, Cheng-Zhong Xu:
Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center. HPCC/SmartCity/DSS 2019: 2299-2304 - [c189]Rui Wang, Kejiang Ye, Cheng-Zhong Xu:
Performance Benchmarking and Optimization for Blockchain Systems: A Survey. ICBC 2019: 171-185 - [c188]Guoyao Xu, Cheng-Zhong Xu:
MEER: Online Estimation of Optimal Memory Reservations for Long Lived Containers in In-Memory Cluster Computing. ICDCS 2019: 23-34 - [c187]Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu:
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT 2019: 45-53 - [c186]Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) 2019 - [c185]Peng Lin, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks. ICPADS 2019: 1-8 - [c184]Chengzhi Lu, Kejiang Ye, Wenyan Chen, Cheng-Zhong Xu:
ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds. ICPADS 2019: 53-60 - [c183]Wanlin Sun, Ming Chen, Jiexia Ye, Yuhang Zhang, Cheng-Zhong Xu, Yangqing Zhang, Yaonan Wang, Wen Wu, Peng Zhang, Feipeng Qu:
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. ICPS 2019: 635-640 - [c182]Nikos Tziritas, Thanasis Loukopoulos, Samee Khan, Cheng-Zhong Xu, Albert Y. Zomaya:
Online Live VM Migration Algorithms to Minimize Total Migration Time and Downtime. IPDPS 2019: 406-417 - [c181]Jinpeng Wang, Yang Wang, Hekang Wang, Kejiang Ye, Cheng-Zhong Xu, Shuibing He, Lingfang Zeng:
Towards Cluster-wide Deduplication Based on Ceph. NAS 2019: 1-8 - [c180]Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu:
Focused Quantization for Sparse CNNs. NeurIPS 2019: 5585-5594 - [c179]Yongzhong Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment. NPC 2019: 345-349 - [c178]Shujian Ji, Tongzheng Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection. NPC 2019: 350-354 - [c177]