World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7450
World Ranking
8826
National Ranking
3769

Overview

Xian-He Sun is affiliated with the Illinois Institute of Technology in the United States and specializes in computer science. Their research work spans multiple interconnected fields and subfields, with a strong focus on areas related to computing systems and data management.

The primary fields of study for Xian-He Sun include:

  • Computer Science

Within this domain, their subfields of study are:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems
  • Computer Vision and Pattern Recognition

Their main research topics encompass:

  • Parallel Computing and Optimization Techniques
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Topic Modeling

Xian-He Sun has published research papers in several venues, prominently including:

  • arXiv (Cornell University)
  • Journal of Computer Science and Technology
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Computer Architecture Letters
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Recent papers authored or co-authored by Xian-He Sun include:

  • "I/O Acceleration via Multi-Tiered Data Buffering and Prefetching," 2020, Journal of Computer Science and Technology
  • "Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion," 2024, Applied Acoustics
  • "The Memory-Bounded Speedup Model and Its Impacts in Computing," 2023, Journal of Computer Science and Technology
  • "Sentiment Analysis of Online New Energy Vehicle Reviews," 2023, Applied Sciences
  • "Sova: A Software-Defined Autonomic Framework for Virtual Network Allocations," 2020, IEEE Transactions on Parallel and Distributed Systems

The scientist frequently collaborates with several co-authors, including:

  • Shuibing He
  • Ruobing Xie
  • Xiaoyang Lu
  • Anthony Kougkas
  • Xuechen Zhang

Best Publications

  • QoS guided min-min heuristic for grid task scheduling

    XiaoShan He;XianHe Sun;Gregor von Laszewski

  • Scalability of parallel algorithm-machine combinations

    Xian-He Sun;Diane T. Rover

  • Reevaluating Amdahl's law in the multicore era

    Xian-He Sun;Yong Chen

  • Scalable problems and memory-bounded speedup

    Xian-He Sun;Lionel M. Ni

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Surendra Byna;Yong Chen;Xian-He Sun;Rajeev Thakur

  • Performance modeling and prediction of nondedicated network computing

    Linguo Gong;Xian-He Sun;E.F. Watson

  • Another view on parallel speedup

    Xian-He Sun;Lionel M. Ni

  • Toward a better parallel performance metric

    Xian-He Sun;John L. Gustafson

  • ADAPT: Availability-Aware MapReduce Data Placement for Non-dedicated Distributed Computing

    Hui Jin;Xi Yang;Xian-He Sun;Ioan Raicu

  • Data collection and restoration for homogeneous or heterogeneous process migration

    Xian-He Sun;Kasidit Chanchio

  • Parallel I/O prefetching using MPI file caching and I/O signatures

    Unknown

  • Hiding I/O latency with pre-execution prefetching for parallel applications

    Yong Chen;Surendra Byna;Xian-He Sun;Rajeev Thakur

  • Efficient tridiagonal solvers on multicomputers

    X.-H. Sun;H. Zhang;L.M. Ni

  • Communication and process migration protocols for distributed heterogeneous computing

    Xian-He Sun;Kasidit Chanchio

  • Toward a better parallel performance metric

    Unknown

  • Grid Harvest Service: a system for long-term, application-level task scheduling

    Xian-He Sun;Ming Wu

  • Server-side I/O coordination for parallel file systems

    Huaiming Song;Yanlong Yin;Xian-He Sun;Rajeev Thakur

  • I/O acceleration with pattern detection

    Jun He;John Bent;Aaron Torres;Gary Grider

  • Stabilized Explicit-Implicit Domain Decomposition Methods for the Numerical Solution of Parabolic Equations

    Yu Zhuang;Xian-He Sun

  • A neural network based predictive mechanism for available bandwidth

    A. Eswaradass;X.-H. Sun;M. Wu

  • Improving the performance of MPI derived datatypes by optimizing memory-access cost

    Byna;Gropp;Xian-He Sun;Thakur

  • Application and accuracy of the parallel diagonal dominant algorithm

    Xian-He Sun

Frequent Co-Authors

Kaushik De
Kaushik De The University of Texas at Arlington
Tobias Golling
Tobias Golling University of Geneva

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