World's Best Scientists 2026 revealed!
Cheng-Zhong Xu

Cheng-Zhong Xu

D-Index & Metrics

Computer Science

D-Index
72
Citations
17665
World Ranking
1704
National Ranking
232

Overview

Cheng-Zhong Xu is affiliated with the University of Macau in China and specializes in the fields of Computer Science and Engineering. Their research output spans 527 publications in Computer Science and 240 in Engineering, reflecting a diverse and interdisciplinary focus.

The scientist's main areas of study encompass several subfields including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Automotive Engineering

Their research topics are centered around:

  • Advanced Neural Network Applications
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Robotics and Sensor-Based Localization
  • Domain Adaptation and Few-Shot Learning

Among their recent publications are:

  • "FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "CrackFormer: Transformer Network for Fine-Grained Crack Detection" (2021), published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics" (2021), published in IEEE Transactions on Fuzzy Systems
  • "Serverless Computing: State-of-the-Art, Challenges and Opportunities" (2022), published in IEEE Transactions on Services Computing

Cheng-Zhong Xu frequently collaborates with several researchers, including:

  • Kejiang Ye
  • Zhenning Li
  • Minxian Xu
  • Haicheng Liao
  • Yang Wang

Publication venues where Cheng-Zhong Xu has contributed multiple papers include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Parallel and Distributed Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence

In addition to journal and conference articles, Xu has contributed to book publications. Notably, Xu has authored a book published by Springer Science+Business Media titled "Web Services - ICWS 2021" (2022).

Best Publications

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Cheng-Zhong Xu;Hai Jin;Jiayu Gong

  • Performance and energy modeling for live migration of virtual machines

    Haikun Liu;Hai Jin;Cheng-Zhong Xu;Xiaofei Liao

  • Load Balancing in Parallel Computers: Theory and Practice

    Chengzhong Xu;Francis C. Lau

  • VCONF: a reinforcement learning approach to virtual machines auto-configuration

    Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Exploring event correlation for failure prediction in coalitions of clusters

    Song Fu;Cheng-Zhong Xu

  • How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

    Jiexia Ye;Juanjuan Zhao;Kejiang Ye;Chengzhong Xu

  • Dynamic Channel Pruning: Feature Boosting and Suppression

    Xitong Gao;Yiren Zhao;Łukasz Dudziak;Robert Mullins

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • Real-Time Charging Station Recommendation System for Electric-Vehicle Taxis

    Zhiyong Tian;Taeho Jung;Yi Wang;Fan Zhang

  • LiDAR Iris for Loop-Closure Detection

    Ying Wang;Zezhou Sun;Cheng-Zhong Xu;Sanjay E. Sarma

  • Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis

    Shutian Luo;Huanle Xu;Chengzhi Lu;Kejiang Ye

  • Detecting Sybil attacks in VANETs

    Bo Yu;Cheng-Zhong Xu;Bin Xiao

  • URL: A unified reinforcement learning approach for autonomic cloud management

    Cheng-Zhong Xu;Jia Rao;Xiangping Bu

  • FFD: A Federated Learning Based Method for Credit Card Fraud Detection

    Wensi Yang;Yuhang Zhang;Kejiang Ye;Li Li

  • A survey on resource allocation in high performance distributed computing systems

    Hameed Hussain;Saif Ur Rehman Malik;Abdul Hameed;Samee Ullah Khan

  • Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data

    Juanjuan Zhao;Qiang Qu;Fan Zhang;Chengzhong Xu

  • Serverless Computing: State-of-the-Art, Challenges and Opportunities

    Unknown

  • Cycloid: a constant-degree and lookup-efficient P2P overlay network

    Haiying Shen;Cheng-Zhong Xu;Guihai Chen

  • Imbalance in the cloud: An analysis on Alibaba cluster trace

    Chengzhi Lu;Kejiang Ye;Guoyao Xu;Cheng-Zhong Xu

  • Exploring human mobility with multi-source data at extremely large metropolitan scales

    Desheng Zhang;Jun Huang;Ye Li;Fan Zhang

  • Live Virtual Machine Migration via Asynchronous Replication and State Synchronization

    Haikun Liu;Hai Jin;Xiaofei Liao;Chen Yu

  • A survey on text mining in social networks

    Rizwana Irfan;Christine K. King;Daniel Grages;Sam J. Ewen

Frequent Co-Authors

Samee U. Khan
Samee U. Khan Mississippi State University
Haiying Shen
Haiying Shen University of Virginia
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Le Yi Wang
Le Yi Wang Wayne State University
George Yin
George Yin University of Connecticut
Lieven Eeckhout
Lieven Eeckhout Ghent University
Francis C. M. Lau
Francis C. M. Lau Hong Kong Polytechnic University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Hai Jin
Hai Jin Huazhong University of Science and Technology

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