World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10655
World Ranking
4129
National Ranking
121

Overview

Xuyun Zhang is affiliated with Macquarie University in Australia and has contributed extensively to the field of computer science, with a focus on several key subfields.

The main areas of Zhang's research cover:

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

Zhang's work addresses various topics including:

  • Privacy-Preserving Technologies in Data
  • Recommender Systems and Techniques
  • IoT and Edge/Fog Computing
  • Network Security and Intrusion Detection
  • Caching and Content Delivery
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning

Among recent publications, notable papers include:

  • "Membership Inference Attacks on Machine Learning: A Survey" (2022), published in ACM Computing Surveys
  • "Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment" (2020), published in IEEE Transactions on Industrial Informatics
  • "FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT" (2021), published in IEEE Transactions on Industrial Informatics
  • "A Correlation Graph based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development" (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • "An attention-based category-aware GRU model for the next POI recommendation" (2021), published in International Journal of Intelligent Systems

Zhang frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Industrial Informatics
  • ACM Transactions on Multimedia Computing Communications and Applications

Zhang collaborates often with several coauthors, including:

  • Lianyong Qi
  • Xiaolong Xu
  • Wanchun Dou
  • Amin Beheshti
  • Zoran Salčić

Best Publications

  • Membership Inference Attacks on Machine Learning: A Survey

    Hongsheng Hu;Zoran Salcic;Gillian Dobbie;Xuyun Zhang

  • A Game-Theoretical Approach for User Allocation in Edge Computing Environment

    Qiang He;Guangming Cui;Xuyun Zhang;Feifei Chen

  • A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

    Xuyun Zhang;Laurence T. Yang;Chang Liu;Jinjun Chen

  • A computation offloading method over big data for IoT-enabled cloud-edge computing

    Xiaolong Xu;Xiaolong Xu;Qingxiang Liu;Yun Luo;Kai Peng

  • BeCome: Blockchain-Enabled Computation Offloading for IoT in Mobile Edge Computing

    Xiaolong Xu;Xuyun Zhang;Honghao Gao;Yuan Xue

  • Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates

    Chang Liu;Jinjun Chen;Laurence T. Yang;Xuyun Zhang

  • MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud

    Chang Liu;Rajiv Ranjan;Chi Yang;Xuyun Zhang

  • Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment

    Lianyong Qi;Chunhua Hu;Xuyun Zhang;Mohammad R. Khosravi

  • An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

    Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan

  • A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development

    Unknown

  • External integrity verification for outsourced big data in cloud and IoT

    Chang Liu;Chi Yang;Xuyun Zhang;Jinjun Chen

  • KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications

    Shunmei Meng;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud

    Xuyun Zhang;Chang Liu;Surya Nepal;Suraj Pandey

  • A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data

    Lianyong Qi;Xuyun Zhang;Wanchun Dou;Qiang Ni

  • A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems

    Lianyong Qi;Yi Chen;Yuan Yuan;Shucun Fu

  • A two-stage locality-sensitive hashing based approach for privacy-preserving mobile service recommendation in cross-platform edge environment

    Lianyong Qi;Lianyong Qi;Xuyun Zhang;Wanchun Dou;Chunhua Hu

  • HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications

    Wanchun Dou;Xuyun Zhang;Jianxun Liu;Jinjun Chen

  • Fast Memory Efficient Local Outlier Detection in Data Streams

    Mahsa Salehi;Christopher Leckie;James C. Bezdek;Tharshan Vaithianathan

  • Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

    Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou

  • EnReal : An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment

    Xiaolong Xu;Wanchun Dou;Xuyun Zhang;Jinjun Chen

  • A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud

    Xuyun Zhang;Chang Liu;Surya Nepal;Chi Yang

Frequent Co-Authors

Lianyong Qi
Lianyong Qi Qufu Normal University
Wanchun Dou
Wanchun Dou Nanjing University
Xiaolong Xu
Xiaolong Xu Nanjing University of Information Science and Technology
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Qiang He
Qiang He Swinburne University of Technology
Surya Nepal
Surya Nepal Commonwealth Scientific and Industrial Research Organisation
Yun Yang
Yun Yang Swinburne University of Technology
Christopher Leckie
Christopher Leckie University of Melbourne
Shaohua Wan
Shaohua Wan University of Electronic Science and Technology of China
Gautam Srivastava
Gautam Srivastava Brandon University

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