Modern building architecture

Dr. DONG WEN

School of Computer Science and Engineering
University of New South Wales
Sydney NSW 2052, Australia
dong.wen@unsw.edu.au

About Me

I am currently a lecturer and an ARC DECRA fellow in the Data and Knowledge Research Group, the School of Computer Science and Engineering, the University of New South Wales (UNSW), Australia. I received my Ph.D. degree from the University of Technology Sydney (UTS) and my Bachelor degree from the Nankai University.
We are recruiting self-motivated MPhil and PhD students. Send me an email with your CV and transcript if you would like to pursue a research degree (PhD and MPhil) in the area of Big Data analytics and Database. PhD scholarship with tuition fee waiver will be provided to outstanding applicants.

Research Interests

Big Data Processing

Distributed Algorithms; I/O Efficient Algorithms; GPU Acceleration; Database Systems

Graph Mining

Graph Neural Networks; Scalable Graph Processing; AI4DB & DB4AI

Teaching

COMP9312 Lecturer

Data Analytics for Graphs
UNSW, 2022-2024

COMP9315 Lecturer

Database Systems Implementation
UNSW, 2023

COMP3311 Lecturer

Database Systems
UNSW, 2022

42913 Lecturer

Social and Information Network Analysis
UTS, 2020-2021

Professional Services

Chairmanship

Local Chair of ADC 2022
Demonstration Chair of WISE 2021
Web Chair of LSGDA 2020

Program Committee Membership

PVLDB 2024, DASFAA 2024, PVLDB 2023, ICDE 2023, DASFAA 2023, CIKM 2022, PVLDB Demo 2020, CIKM 2021, CIKM 2020, LSGDA 2019, CIKM 2019

Selected Conference Publications

  1. J. Song, D. Wen, L. Xu, L. Qin, W. Zhang, and X. Lin
    On Querying Historical Connectivity in Temporal Graphs
    International Conference on Management of Data, 2024 (SIGMOD'24)
  2. J. Hou, Z. Zhao, Z. Wang, G. Jin, D. Wen, and X. Du
    AeonG: An Efficient Built-in Temporal Support in Graph Databases
    Proceedings of the VLDB Endowment, 2024 (VLDB'24)
  3. K. Chen, D. Wen, W. Zhang, Y. Zhang, X. Wang, and X. Lin
    Querying Structural Diversity in Streaming Graphs
    Proceedings of the VLDB Endowment, 2024 (VLDB'24)
  4. W. Li, M. Cai, M. Gao, D. Wen, L. Qin, and W. Wang
    Expanding Reverse Nearest Neighbors
    Proceedings of the VLDB Endowment, 2024 (VLDB'24)
  5. W. Zhang, Z. Yang, D. Wen, and X. Wang
    Efficient Distributed Core Graph Decomposition
    International Conference on Data Mining Workshops, 2023 (CHDM'23)
  6. H. Yin, K. Wang, W. Zhang, D. Wen, X. Wang, and Y. Zhang
    Discovering Densest Subgraph over Heterogeneous Information Networks
    Australasian Database Conference, 2023 (ADC'23)
    Best Paper Runner-up
  7. Y. Huang, D. Wen, L. Lai, Z. Qian, Y. Zhang, and L. Qin
    Efficient and Effective Path Compression in Large Graphs
    ICDE Industry and Applications Track, 2023 (ICDE'23)
  8. X. Wang, D. Wen, W. Zhang, Y. Zhang, and L. Qin
    Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs
    International Conference on Management of Data, 2023 (ICDE'23)
  9. Y. Qiu, D. Wen, L. Qin, W. Li, R. Li, and Y. Zhang
    Efficient Shortest Path Counting on Large Road Networks
    Proceedings of the VLDB Endowment, 2022 (VLDB'22)
  10. Y. Yu, D. Wen, Y. Zhang, L. Qin, W. Zhang, and X. Lin
    GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction
    International Conference on Management of Data, 2022 (ICDE'22)
  11. W. Li, M. Gao, D. Wen, H. Zhou, C. Ke, and L. Qin
    Manipulating Structural Graph Clustering
    International Conference on Management of Data, 2022 (ICDE'22)
  12. J. Zhang, W. Li, L. Qin, Y. Zhang, D. Wen, L. Cui, and X. Lin
    Reachability Labeling for Distributed Graphs
    International Conference on Management of Data, 2022 (ICDE'22)
  13. X. Wang, D. Wen, L. Qin, L. Chang, and W. Zhang
    ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing
    ICDE Poster Track, 2022 (ICDE'22)
  14. M. Yu, D. Wen, L. Qin, Y. Zhang, W. Zhang, and X. Lin
    On Querying Historical K-Cores
    Proceedings of the VLDB Endowment, 2021 (VLDB'21)
  15. Y. Yu, D. Wen, Y. Zhang, X. Wang, and X. Lin
    Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems
    ICDE Short Paper, 2021 (ICDE'21)
  16. D. Ouyang, D. Wen, L. Qing, L. Chang, Y. Zhang, and X. Lin
    Progressive Top-K Nearest Neighbor Search in Large Road Networks
    International Conference on Management of Data, 2020 (SIGMOD'20)
  17. D. Wen, Y. Huang, Y. Zhang, L. Qin, W. Zhang, and X. Lin
    Efficiently Answering Span-Reachability Queries in Large Temporal Graphs
    International Conference on Data Engineering, 2020 (ICDE'20)
  18. B. Yang, D. Wen, L. Qin, Y. Zhang, X. Wang, and X. Lin
    Fully Dynamic Depth-First Search in Directed Graphs
    Proceedings of the VLDB Endowment, 2020 (VLDB'20)
  19. D. Wen, L. Qin, Y. Zhang, L. Chang, and L. Chen
    Enumerating k-Vertex Connected Components in Large Graphs
    International Conference on Data Engineering, 2019 (ICDE'19)
  20. B. Yang, D. Wen, L. Qin, Y. Zhang, L. Chang, and R. Li
    Index-based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs
    International Conference on Data Engineering, 2019 (ICDE'19)
    One of the Best Papers
  21. W. Liu, D. Wen, H. Wang, F. Zhang, and X. Wang
    Skyline Nearest Neighbor Search on Multi-Layer Graphs
    International Conference on Data Engineering Workshops, 2019 (LSGDA'19)
  22. D. Wen, L. Qin, Y. Zhang, L. Chang, and X. Lin
    Efficient Structural Graph Clustering: An Index-Based Approach
    Proceedings of the VLDB Endowment, 2018 (VLDB'18)
  23. L. Yue, D. Wen, L. Cui, L. Qin, and Y. Zheng
    K-Connected Cores Computation in Large Dual Networks
    International Conference on Database Systems for Advanced Applications, 2018 (DASFAA'18)
  24. D. Wen, L. Qin, Y. Zhang, X. Lin, and J. Yu
    I/O Efficient Core Graph Decomposition at Web Scale
    International Conference on Data Engineering, 2016 (ICDE'16)
    Best Paper Award

Selected Journal Publications

  1. D. Ouyang, D. Wen, L. Qin, Y. Zhang, L. Chang, and X. Lin
    When Hierarchy Meets 2-Hop-Labeling: Efficient Shortest Distance and Path Queries on Road Networks
    VLDB Journal, 2023 (VLDBJ'23)
  2. Y. Qiu, D. Wen, R. Li, L. Qin, M. Yu, and X. Lin
    Computing Significant Cliques in Large Labeled Networks
    IEEE Transactions on Big Data, 2022 ('22)
  3. D. Wen, B. Yang, Y. Zhang, L. Qin, D. Cheng, and W. Zhang
    Span-Reachability Querying in Large Temporal Graphs
    VLDB Journal, 2021 (VLDBJ'21)
  4. S. Xiang, D. Wen, D. Cheng, Y. Zhang, L. Qin, Z. Qian, and X. Lin
    General Graph Generators: Experiments, Analyses, and Improvements
    VLDB Journal, 2021 (VLDBJ'21)
  5. X. Wang, D. Wen, L. Qin, L. Chang, Y. Zhang, and W. Zhang
    ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing
    IEEE Transactions on Knowledge and Data Engineering, 2021 (TKDE'21)
  6. H. Wang, D. Lian, W. Liu, D. Wen, C. Chen, and X. Wang
    Powerful graph of graphs neural network for structured entity analysis
    World Wide Web Journal, 2021 (WWW'21)
  7. D. Wen, B. Yang, L. Qin, Y. Zhang, L. Chang, and R. Li
    Computing K-Cores in Large Uncertain Graphs: An Index-based Optimal Approach
    IEEE Transactions on Knowledge and Data Engineering, 2020 (TKDE'20)
    Invited Paper
  8. D. Wen, L. Qin, Y. Zhang, L. Chang, and X. Lin
    Efficient Structural Graph Clustering: An Index-Based Approach
    VLDB Journal, 2019 (VLDBJ'19)
  9. D. Wen, L. Qin, Y. Zhang, X. Lin, and J. Yu
    I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering
    IEEE Transactions on Knowledge and Data Engineering, 2018 (TKDE'18)
    Invited Paper
  10. L. Cui, L. Yue, D. Wen, and L. Qin
    K-Connected Cores Computation in Large Dual Networks
    Data Science and Engineering, 2018 (DSE'18)
    Invited Paper