Journal of Big Data Research

Dr. Yahui Sun, Associate Professor, Department Of Computer Science And Technology

ORCID: 0000-0003-3730-8538
Editorial Board

Dr. Yahui Sun PhD

Associate Professor, Department Of Computer Science And Technology ORCID: 0000-0003-3730-8538 · China

Editorial leadership for Journal of Big Data Research ISSN 2768-0207

Research interests

  • Graph Algorithms
  • Graph Mining Data Mining
  • Management Systems Combinatorial Optimization (Steiner Tree Problems) Wireless Sensor Networks (Wsns)
  • Network Optimization Algorithms For Big Data (Stream Processing
  • Graph Sketching)

Biography

Dr. Yahui Sun is an Associate Professor specializing in Data Mining and the design of Scalable Graph Algorithms. His expertise centers on Combinatorial Optimization, particularly solving complex computational challenges like the Group Steiner Tree problem in massive, dynamic graph data. He develops efficient and novel algorithms inspired by natural systems (like Physarum) for applications in data management, network optimization, and Wireless Sensor Networks (WSNs). His influential work is published in prestigious data management venues, confirming his role as a leading computational expert.


Education Details:
  • PhD: (University Of Melbourne, Australia, 2018)
  • Master's: Aerospace Engineering (Harbin Institute Of Technology, China, 2014)
  • Bachelor's: Aerospace Engineering (Harbin Institute Of Technology, China, 2012)

Professional Background:
  • Associate Professor (Current, Since 2021) - Renmin University Of China (RUC).
  • Former Research Roles: National University Of Singapore, Nanyang Technological University, and Australian National University.

Current Research Projects:
  • Graph Analytics: Investigating algorithms for hunting temporal bumps and mining dynamic properties in large-scale graphs.
  • Combinatorial Optimization: Developing fast heuristic algorithms for minimum-cost relay node placement and Steiner Tree problems in WSNs.

Academic Profiles Of Dr. Yahui Sun

Explore his academic and professional presence across trusted platforms:

Selected publications

Dr. Sun's publications are highly valued in the data management and algorithm design communities, focusing on creating efficient solutions for massive network and graph data challenges.

The list of recent publications of Dr. Yahui Sun is listed below:
 

  1. Yang, S., Sun, Y., Liu, J., Xiao, X., Li, R., & Wei, Z. (2022). Approximating Probabilistic Group Steiner Trees in Graphs. Proceedings Of The VLDB Endowment, 16(2), 343-355.
  2. Sun, Y., Ma, S., & Cui, B. (2022). Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties. Proceedings Of The SIGMOD Conference 2022, 874-888.
  3. Sun, Y., Xiao, X., Cui, B., Halgamuge, S. K., Lappas, T., & Luo, J. (2021). Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proceedings Of The VLDB Endowment, 14(7), 1137-1149.
  4. Sun, Y., Rehfeldt, D., Brazil, M., Thomas, D. A., & Halgamuge, S. K. (2020). A Physarum-Inspired Algorithm for Minimum-Cost Relay Node Placement in Wireless Sensor Networks. IEEE/ACM Transactions On Networking, 28(2), 681-694.
  5. Sun, Y., Luo, J., Lappas, T., Xiao, X., & Cui, B. (2020). Hunting multiple bumps in graphs. Proceedings Of The VLDB Endowment, 13(5), 656-669.

 

Last Updated on October 09, 2025

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