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Computer Science

D-Index
48
Citations
11650
World Ranking
6099
National Ranking
189

Overview

Liming Zhu is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research primarily focuses on various aspects of computer science, with a significant emphasis on artificial intelligence, information systems, and safety research.

The scientist has contributed to the fields of artificial intelligence and its ethics, blockchain technology applications and security, privacy-preserving technologies in data, and software engineering research. Their work also spans artificial intelligence in healthcare and education, explainable artificial intelligence (XAI), and adversarial robustness in machine learning.

Liming Zhu's frequent co-authors include Xiwei Xu, Qinghua Lu (with two separate collaboration records), Zhenchang Xing, and Jon Whittle. These collaborations reflect ongoing partnerships in their research endeavors.

Key venues where Liming Zhu has published include:

  • arXiv (Cornell University)
  • IEEE Software
  • SSRN Electronic Journal
  • Journal of Systems and Software
  • ACM Transactions on Software Engineering and Methodology

Among recent papers, Liming Zhu has contributed to research on blockchain and federated learning, generative adversarial networks in collaborative human-AI applications, and trustworthy AI architectures. Selected papers include:

  • "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT," 2020, IEEE Internet of Things Journal
  • "Generative Adversarial Networks-Enabled Human-Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends," 2021, Frontiers in Artificial Intelligence
  • "Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems," 2022, IEEE Internet of Things Journal
  • "Wireframe-based UI Design Search through Image Autoencoder," 2020, ACM Transactions on Software Engineering and Methodology
  • "A systematic literature review on blockchain governance," 2022, Journal of Systems and Software

Best Publications

  • A Taxonomy of Blockchain-Based Systems for Architecture Design

    Xiwei Xu;Ingo Weber;Mark Staples;Liming Zhu

  • Devops: A Software Architect's Perspective

    Len Bass;Ingo Weber;Liming Zhu

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke

  • Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

    Mojtaba Shahin;Muhammad Ali Babar;Liming Zhu

  • The Blockchain as a Software Connector

    Xiwei Xu;Cesare Pautasso;Liming Zhu;Vincent Gramoli

  • Blockchain Based Data Integrity Service Framework for IoT Data

    Bin Liu;Xiao Liang Yu;Shiping Chen;Xiwei Xu

  • Adversarial Examples for Graph Data: Deep Insights into Attack and Defense.

    Huijun Wu;Huijun Wu;Chen Wang;Yuriy Tyshetskiy;Andrew Docherty

  • Software quality and agile methods

    Ming Huo;J. Verner;Liming Zhu;M.A. Babar

  • A framework for classifying and comparing software architecture evaluation methods

    M.A. Babar;L. Zhu;R. Jeffery

  • Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT

    Weishan Zhang;Qinghua Lu;Qiuyu Yu;Zhaotong Li

  • Designing blockchain-based applications a case study for imported product traceability

    Xiwei Xu;Xiwei Xu;Qinghua Lu;Qinghua Lu;Yue Liu;Liming Zhu;Liming Zhu

  • DevOps and Its Practices

    Liming Zhu;Len Bass;George Champlin-Scharff

  • MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

    Manqing Dong;Feng Yuan;Lina Yao;Xiwei Xu

  • Tradeoff and Sensitivity Analysis in Software Architecture Evaluation Using Analytic Hierarchy Process

    Liming Zhu;Aybüke Aurum;Ian Gorton;Ross Jeffery

  • Analysis of Blockchain Solutions for IoT: A Systematic Literature Review

    Sin Kuang Lo;Yue Liu;Su Yen Chia;Xiwei Xu

  • A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective

    Sin Kit Lo;Qinghua Lu;Chen Wang;Hye-Young Paik

  • Evaluating guidelines for reporting empirical software engineering studies

    Barbara Kitchenham;Hiyam Al-Khilidar;Muhammed Ali Babar;Mike Berry

  • Adversarial Examples on Graph Data: Deep Insights into Attack and Defense

    Huijun Wu;Chen Wang;Yuriy Tyshetskiy;Andrew Docherty

  • IoTChain: Establishing Trust in the Internet of Things Ecosystem Using Blockchain

    Bin Yu;Jarod Wright;Surya Nepal;Liming Zhu

  • Generative Adversarial Networks-Enabled Human-Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends.

    Rowan T. Hughes;Liming Zhu;Tomasz Bednarz;Tomasz Bednarz

  • A Pattern Collection for Blockchain-based Applications

    Xiwei Xu;Cesare Pautasso;Liming Zhu;Qinghua Lu

  • Object detection for graphical user interface: old fashioned or deep learning or a combination?

    Jieshan Chen;Mulong Xie;Zhenchang Xing;Chunyang Chen

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil van der Aalst;Jan vom Brocke

Frequent Co-Authors

Xiwei Xu
Xiwei Xu Commonwealth Scientific and Industrial Research Organisation
Len Bass
Len Bass Carnegie Mellon University
Ingo Weber
Ingo Weber Technical University of Berlin
Sherif Sakr
Sherif Sakr University of Tartu
Muhammad Ali Babar
Muhammad Ali Babar University of Adelaide
Ian Gorton
Ian Gorton Northeastern University
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Zhenchang Xing
Zhenchang Xing Australian National University
Alan Fekete
Alan Fekete University of Sydney
Wei Liu
Wei Liu University of Technology Sydney

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