Dr Dong   Wen
Lecturer

Dr Dong Wen

Engineering
Computer Science and Engineering

Dong Wen is a lecturer in the School of Computer Science and Engineering, the University of New South Wales, Australia. He had worked as a postdoctoral research fellow in the University of Technology Sydney from 2019 to 2021. His main research interests focus on big graph analytics and processing. He has established collaborations with several industry partners to apply his research outcomes in real-world applications.

We are recruiting self-motivated PhD students. Send me an email with your CV if you would like to pursue PhD degree in the area of large-scale dynamic data (a.k.a, Big Data) analytics and processing. Current undergraduate students or master by course students in UNSW are encouraged to contact me if you are interested in research degrees (Master by research or PhD). 

  • Journal articles | 2022
    Wang H; Lian D; Liu W; Wen D; Chen C; Wang X, 2022, 'Powerful graph of graphs neural network for structured entity analysis', World Wide Web, vol. 25, pp. 609 - 629, http://dx.doi.org/10.1007/s11280-021-00900-8
    Journal articles | 2021
    Wen D; Yang B; Zhang Y; Qin L; Cheng D; Zhang W, 2021, 'Span-reachability querying in large temporal graphs', VLDB Journal, http://dx.doi.org/10.1007/s00778-021-00715-z
    Journal articles | 2021
    Wang X; Wen D; Qin L; Chang L; Zhang Y; Zhang W, 2021, 'ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 1, http://dx.doi.org/10.1109/TKDE.2021.3101057
    Journal articles | 2020
    Wen D; Yang B; Qin L; Zhang Y; Chang L; Li R, 2020, 'Computing K-Cores in Large Uncertain Graphs: An Index-based Optimal Approach', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 1, http://dx.doi.org/10.1109/tkde.2020.3023925
    Journal articles | 2019
    Wen D; Qin L; Zhang Y; Lin X; Yu JX, 2019, 'I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering', IEEE Transactions on Knowledge and Data Engineering, vol. 31, pp. 75 - 90, http://dx.doi.org/10.1109/TKDE.2018.2833070
    Journal articles | 2019
    Wen D; Qin L; Zhang Y; Chang L; Lin X, 2019, 'Efficient structural graph clustering: an index-based approach', VLDB Journal, vol. 28, pp. 377 - 399, http://dx.doi.org/10.1007/s00778-019-00541-4
    Journal articles | 2018
    Cui L; Yue L; Wen D; Qin L, 2018, 'K-Connected Cores Computation in Large Dual Networks', Data Science and Engineering, vol. 3, pp. 293 - 306, http://dx.doi.org/10.1007/s41019-018-0078-0
  • Conference Papers | 2021
    Yu M; Wen D; Qin L; Zhang Y; Zhang W; Lin X, 2021, 'On querying historical k-cores', in Proceedings of the VLDB Endowment, pp. 2033 - 2045, http://dx.doi.org/10.14778/3476249.3476260
    Conference Papers | 2021
    Xiang S; Wen D; Cheng D; Zhang Y; Qin L; Qian Z; Lin X, 2021, 'General graph generators: experiments, analyses, and improvements', in VLDB Journal, http://dx.doi.org/10.1007/s00778-021-00701-5
    Conference Papers | 2021
    Yu Y; Wen D; Zhang Y; Wang X; Zhang W; Lin X, 2021, 'Efficient matrix factorization on heterogeneous CPU-GPU Systems', in Proceedings - International Conference on Data Engineering, IEEE, pp. 1871 - 1876, presented at 2021 IEEE 37th International Conference on Data Engineering (ICDE), 19 April 2021 - 22 April 2021, http://dx.doi.org/10.1109/ICDE51399.2021.00169
    Conference Papers | 2020
    Wen D; Huang Y; Zhang Y; Qin L; Zhang W; Lin X, 2020, 'Efficiently answering span-reachability queries in large temporal graphs', in Proceedings - International Conference on Data Engineering, pp. 1153 - 1164, http://dx.doi.org/10.1109/ICDE48307.2020.00104
    Conference Papers | 2020
    Ouyang D; Wen D; Qin L; Chang L; Zhang Y; Lin X, 2020, 'Progressive Top-K Nearest Neighbors Search in Large Road Networks', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1781 - 1795, http://dx.doi.org/10.1145/3318464.3389746
    Conference Papers | 2020
    Yang B; Wen D; Qin L; Zhang Y; Wang X; Lin X, 2020, 'Fully dynamic depthfirst search in directed graphs', in Proceedings of the VLDB Endowment, pp. 142 - 154, http://dx.doi.org/10.14778/3364324.3364329
    Conference Papers | 2019
    Wen D; Qin L; Zhang Y; Chang L; Chen L, 2019, 'Enumerating k-vertex connected components in large graphs', in Proceedings - International Conference on Data Engineering, pp. 52 - 63, http://dx.doi.org/10.1109/ICDE.2019.00014
    Conference Papers | 2019
    Yang B; Wen D; Qin L; Zhang Y; Chang L; Li RH, 2019, 'Index-based optimal algorithm for computing k-cores in large uncertain graphs', in Proceedings - International Conference on Data Engineering, pp. 64 - 75, http://dx.doi.org/10.1109/ICDE.2019.00015
    Conference Papers | 2019
    Liu W; Wen D; Wang H; Zhang F; Wang X, 2019, 'Skyline nearest neighbor search on multi-layer graphs', in Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019, pp. 259 - 265, http://dx.doi.org/10.1109/ICDEW.2019.000-3
    Conference Papers | 2018
    Yue L; Wen D; Cui L; Qin L; Zheng Y, 2018, 'K-connected cores computation in large dual networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 169 - 186, http://dx.doi.org/10.1007/978-3-319-91452-7_12
    Conference Papers | 2017
    Wen D; Qin L; Zhang Y; Chang L; Lin X, 2017, 'Efficient structural graph clustering: An index-based approach', in Proceedings of the VLDB Endowment, pp. 243 - 255, http://dx.doi.org/10.14778/3157794.3157795
    Conference Papers | 2016
    Wen D; Qin L; Zhang Y; Lin X; Yu JX, 2016, 'I/O efficient Core Graph Decomposition at web scale', in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, pp. 133 - 144, presented at 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/ICDE.2016.7498235