Dr Boge   Liu
Postdoctoral Fellow

Dr Boge Liu

Engineering
Minerals and Energy Resources

Dr. Boge Liu is Postdoc fellow with the School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney.

He has a BE in School of Software, Tsinghua University, China (2016). He received his PhD in Computer Science and Engineering from the University of New South Wales, Sydney, Australia in 2020. His research areas include 3D point cloud data processing, big data analytics, and database. 

Publications

  • Journal articles | 2020
    Dr Boge Liu
    Liu B; Yuan L; Lin X; Qin L; Zhang W; Zhou J, 2020, 'Efficient (α , β)-core computation in bipartite graphs', VLDB Journal, vol. 29, pp. 1075 - 1099, http://dx.doi.org/10.1007/s00778-020-00606-9
    Journal articles | 2017
    Dr Boge Liu
    Song S; Liu B; Cheng H; Yu JX; Chen L, 2017, 'Graph repairing under neighborhood constraints', The VLDB Journal, vol. 26, pp. 611 - 635, http://dx.doi.org/10.1007/s00778-017-0466-5
  • Conference Papers | 2020
    Dr Boge Liu
    Zhang C; Zhang F; Zhang W; Liu B; Zhang Y; Qin L; Lin X, 2020, 'Exploring finer granularity within the cores: Efficient (k, p)-Core computation', in Proceedings - International Conference on Data Engineering, pp. 181 - 192, http://dx.doi.org/10.1109/ICDE48307.2020.00023
    Conference Papers | 2020
    Dr Boge Liu
    Liu B; Zhang F; Zhang C; Zhang W; Lin X, 2020, 'CoreCube: Core Decomposition in Multilayer Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Hong Kong, China, pp. 694 - 710, presented at WISE 2019 20th International Conference on Web Information Systems Engineering, Hong Kong, China, 19 January 2020, http://dx.doi.org/10.1007/978-3-030-34223-4_44
    Conference Papers | 2019
    Dr Boge Liu
    Liu B; Qin L; Yuan L; Zhang W; Lin X; Zhou J, 2019, 'Efficient (α, β)-core computation: An index-based approach', in The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, pp. 1130 - 1141, http://dx.doi.org/10.1145/3308558.3313522

Awards

Grants

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