World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5397
World Ranking
11682
National Ranking
353

Overview

Xiao Liu is affiliated with Deakin University in Australia and has a research portfolio primarily focused on computer science and engineering. Their work spans a wide range of specialized subfields including artificial intelligence, computer vision and pattern recognition, information systems, computer networks and communications, and aerospace engineering.

They have contributed to topics such as topic modeling, IoT and edge/fog computing, natural language processing techniques, software engineering research, cloud computing and resource management, advanced neural network applications, and privacy-preserving technologies in data.

The recent publications of Xiao Liu demonstrate involvement in both foundational and applied research. Notable papers include:

  • Dynamic Prefix-Tuning for Generative Template-based Event Extraction (2022), published in the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

While other prominent papers credited to authors with similar names appear in various fields, the paper listed above specifically attributes to Xiao Liu.

Xiao Liu frequently collaborates with other researchers, with recurrent coauthors including:

  • Xuejun Li (25 joint works)
  • Xu Jia (16 joint works)
  • Frank Jiang (13 joint works)
  • Jin Liu (9 joint works)
  • Aiting Yao (8 joint works)

Their work is regularly published in several venues, such as:

  • arXiv (Cornell University) with 46 publications
  • SSRN Electronic Journal with 14 publications
  • Journal of Systems and Software with 6 publications
  • Concurrency and Computation Practice and Experience with 5 publications
  • Information Processing & Management with 4 publications

The volume of research across computer science and engineering fields indicates a broad scope encompassing theoretical exploration and practical applications. Their expertise includes the development and application of natural language processing techniques and advanced neural networks, alongside a focus on data privacy and resource management within cloud and distributed systems.

Best Publications

  • A data placement strategy in scientific cloud workflows

    Dong Yuan;Yun Yang;Xiao Liu;Jinjun Chen

  • A market-oriented hierarchical scheduling strategy in cloud workflow systems

    Zhangjun Wu;Zhangjun Wu;Xiao Liu;Zhiwei Ni;Dong Yuan

  • An empirical study of product differences in consumers’ E-commerce adoption behavior

    Xiao Liu;Kwok Kee Wei

  • A Revised Discrete Particle Swarm Optimization for Cloud Workflow Scheduling

    Zhangjun Wu;Zhiwei Ni;Lichuan Gu;Xiao Liu

  • A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on a Cloud Computing Platform

    Ke Liu;Hai Jin;Jinjun Chen;Xiao Liu

  • A structured analysis of unstructured big data by leveraging cloud computing

    Xiao Liu;Param Vir Singh;Kannan Srinivasan

  • A survey on multimodal data-driven smart healthcare systems: approaches and applications

    Qiong Cai;Hao Wang;Zhenmin Li;Xiao Liu

  • On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems

    Dong Yuan;Yun Yang;Xiao Liu;Jinjun Chen

  • A cost-effective strategy for intermediate data storage in scientific cloud workflow systems

    Dong Yuan;Yun Yang;Xiao Liu;Jinjun Chen

  • A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud

    Dong Yuan;Yun Yang;Xiao Liu;Wenhao Li

  • The Design of Cloud Workflow Systems

    Xiao Liu;Dong Yuan;Gaofeng Zhang;Wenhao Li

  • An Algorithm in SwinDeW-C for Scheduling Transaction-Intensive Cost-Constrained Cloud Workflows

    Yun Yang;Ke Liu;Jinjun Chen;Xiao Liu

  • A data dependency based strategy for intermediate data storage in scientific cloud workflow systems

    Dong Yuan;Yun Yang;Xiao Liu;Gaofeng Zhang

  • Preventing Temporal Violations in Scientific Workflows: Where and How

    Xiao Liu;Yun Yang;Yuanchun Jiang;Jinjun Chen

  • A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems

    Xiao Liu;Zhiwei Ni;Dong Yuan;Yuanchun Jiang

  • SwinDeW-C: A Peer-to-Peer Based Cloud Workflow System

    Xiao Liu;Dong Yuan;Gaofeng Zhang;Jinjun Chen

  • Do we need to handle every temporal violation in scientific workflow systems

    Xiao Liu;Yun Yang;Dong Yuan;Jinjun Chen

  • A Generic QoS Framework for Cloud Workflow Systems

    Xiao Liu;Yun Yang;Dong Yuan;Gaofeng Zhang

  • SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

    Xin Wang;Yasheng Wang;Fei Mi;Pingyi Zhou

  • CSMC: A combination strategy for multi-class classification based on multiple association rules

    Ye-Zheng Liu;Yuan-Chun Jiang;Xiao Liu;Shan-Lin Yang

  • FogWorkflowSim: an automated simulation toolkit for workflow performance evaluation in fog computing

    Xiao Liu;Lingmin Fan;Jia Xu;Xuejun Li

  • EXPRESS: an energy-efficient and secure framework for mobile edge computing and blockchain based smart systems

    Jia Xu;Xiao Liu;Xuejun Li;Lei Zhang

Frequent Co-Authors

Yun Yang
Yun Yang Swinburne University of Technology
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Xi Zheng
Xi Zheng Macquarie University
Qiang He
Qiang He Swinburne University of Technology
Shiliang Sun
Shiliang Sun East China Normal University
John Grundy
John Grundy Monash University
Cheng Wang
Cheng Wang Xiamen University
Zijiang Yang
Zijiang Yang Western Michigan University
Jonathan Li
Jonathan Li University of Waterloo
Jianping Fan
Jianping Fan University of North Carolina at Charlotte

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