Dr. HUANG, Xin
Dr. HUANG, Xin

黃欣博士
BEng, PhD
Associate Professor, Department of Computer Science
https://www.comp.hkbu.edu.hk/~xinhuang/
 

About

Dr. Xin Huang is an Associate Professor of the Department of Computer Science, Hong Kong Baptist University. He received the Ph.D. degree from the Department of Systems Engineering and Engineering Management at the Chinese University of Hong Kong in 2014. His research interests include graph data management, graph mining and visualization, social network analysis, and privacy-aware computing. He has published in refereed conferences and journals including SIGMOD, PVLDB, WWW, ICDE, CIKM, AAAI, IJCAI, TKDE, TKDD, and VLDBJ. His scholarly works win the Best Paper Award at the 20th International Conference on Web Information Systems Engineering (WISE 2019), the Best Student Paper Award at the 11th IEEE International Conference on Semantic Computing (ICSC 2017), as well as a Best Paper Nomination at the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020). He is a recipient of the RGC Early Career Award and the HKBU President’s Award for Outstanding Performance as Young Researcher.


Research Interests

  • Data Management
  • Big Graph Mining & Visualization
  • Social Network Analysis
  • Privacy-Aware Computing

Selected Publications

  • X. Sun, X. Huang, and D. Jin, “Fast Algorithms for Core Maximization on Large Graphs”, Proceedings of the VLDB Endowment (PVLDB’22), 15(8): 1350-1362, 2022.
  • J. Huang, X. Huang, and J. Xu, “Truss-based Structural Diversity Search in Large Graphs”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(8):4037-4051, 2022.
  • L. Sun, X. Huang, R. Li, B. Choi, and J. Xu, “Index-Based Intimate-Core Community Search in Large Weighted Graphs”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(9): 4313-4327, 2022.  
  • X. Zhu, X. Huang, B. Choi, J. Jiang, Z. Zou, and J. Xu, “Budget Constrained Interactive Search for Multiple Targets”, Proceedings of the VLDB Endowment (PVLDB’21), 14(6): 890-902, 2021. 
  • Z. Dong, X. Huang, G. Yuan, H. Zhu, and H. Xiong, “Butterfly-Core Community Search over Labeled Graphs”, Proceedings of the VLDB Endowment (PVLDB’21), 14(11): 2006-2018, 2021.
  • Z. Sun, X. Huang, J. Xu, and F. Bonchi, “Efficient Probabilistic Truss Indexing on Uncertain Graphs”, The Web Conference (WWW’21), 354-366, 2021. 
  • Y. Jiang, X. Huang, and H. Cheng, “I/O Efficient K-Truss Community Search in Massive Graphs”, The VLDB Journal (VLDBJ), 30(5): 713-738, 2021. 
  • X. Zhu, X. Huang, B. Choi, and J. Xu, “Top-k Graph Summarization on Hierarchical DAGs”, ACM International Conference on Information and Knowledge Management (CIKM’20), 1903-1912, 2020.
  • J. Jiang, X. Huang, B. Choi, J. Xu, S. S Bhowmick, and L. Xu, “PPKWS: An Efficient Framework for Keyword Search on Public-Private Networks”, IEEE International Conference on Data Engineering (ICDE’20), 457-468, 2020. 
  • Q. Liu, M. Zhao, X. Huang, J. Xu, and Y. Gao, “Truss-based Community Search over Large Directed Graphs”, ACM SIGMOD International Conference on Management of Data (SIGMOD’20), 2183-2197, 2020.
  • X. Huang, L. V.S. Lakshmanan, and J. Xu, “Community Search over Big Graphs”, Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2019. 
  • X. Huang and L. V.S. Lakshmanan, “Attribute-Driven Community Search”, Proceedings of the VLDB Endowment (PVLDB'17), 10(9): 949-960, 2017.
  • X. Huang, W. Lu, and L. V.S. Lakshmanan, “Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms”, ACM SIGMOD International Conference on Management of Data (SIGMOD'16), 77-90, 2016.
  • X. Huang, L. V.S. Lakshmanan, J. X. Yu, and H. Cheng, “Approximate Closest Community Search in Networks”, Proceedings of the VLDB Endowment (PVLDB'15), 9(4): 276-287, 2015.
  • X. Huang, H. Cheng, L. Qin, W. Tian, and J. X. Yu, “Querying K-Truss Community in Large and Dynamic Graphs”, ACM SIGMOD International Conference on Management of Data (SIGMOD'14), 1311-1322, 2014.