ABOUT ME

I am a lecturer at the University of New South Wales (UNSW). I received my Ph.D. degree in 2019 from the University of Technology Sydney (UTS), Australia. Prior to that, I received my Bachelor degree from the Nankai University, China in 2013. I had worked as a postdoctoral research fellow from 2019 to 2021 at UTS and joined UNSW in 2021.

RESEARCH INTERESTS

BIG GRAPH PROCESSING

I/O Efficient Algorithms; Distributed Graph Processing; GPU Acceleration

GRAPH MINING

Road Networks; Temporal Graphs; Uncertain Graphs

SOCIAL ANALYSIS

Community Detection; Link Prediction; AI4DB & DB4AI

EMPLOYMENT

ACADEMIA

University of New South Wales

Lecturer
2021 - Now

University of Technology Sydney

Research Associate
2019 - 2021

INDUSTRY

Alibaba

Taobao FED
2013 - 2014

Baidu

Intern
2013

Tencent

Intern
2012

SELECTED JOURNAL PUBLICATIONS

  1. 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)

  2. 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)

  3. 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)

  4. H. Wang, D. Lian, W. Liu, D. Wen, C. Chen, X. Wang

    Powerful graph of graphs neural network for structured entity analysis

    World Wide Web Journal, 2021 (WWWJ'21)

  5. 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]

  6. D. Wen, L. Qin, Y. Zhang, L. Chang, and X. Lin

    Efficient Structural Graph Clustering: An Index-Based Approach

    VLDB Journal, 2019 (VLDBJ'19)

  7. D. Wen, L. Qin, Y. Zhang, X. Lin, and J. X. Yu

    I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering

    IEEE Transactions on Knowledge and Data Engineering, 2018 (TKDE'18)

    [Invited Paper]

  8. L. Cui, L. Yue, D. Wen, L. Qin

    K-Connected Cores Computation in Large Dual Networks

    Data Science and Engineering, 2018 (DSE'18)

    [Invited Paper]

SELECTED CONFERENCE PUBLICATIONS

  1. M. Yu, D. Wen, L. Qin, Y. Zhang, W. Zhang, and X. Lin

    On Querying Historical K-Cores

    Proceedings of the VLDB Endowment, 2021 (PVLDB'21)

  2. Y. Yu, D. Wen, Y. Zhang, X. Wang, W. Zhang, and X. Lin

    Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems

    Short Paper, International Conference on Data Engineering, 2021 (ICDE'21)

  3. D. Ouyang, D. Wen, L. Qin, 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)

  4. 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)

  5. 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 (PVLDB'20)

  6. 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)

  7. 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] [Invited to TKDE]

  8. W. Liu, D. Wen, H. Wang, F. Zhang, X. Wang

    Skyline Nearest Neighbor Search on Multi-Layer Graphs

    International Conference on Data Engineering Workshops, 2019 (LSGDA'19)

  9. 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 (PVLDB'18)

  10. L. Yue, D. Wen, L. Cui, L. Qin, Y. Zheng

    K-Connected Cores Computation in Large Dual Networks

    International Conference on Database Systems for Advanced Applications, 2018 (DASFAA'18)

    [Invited to DSE]

  11. D. Wen, L. Qin, Y. Zhang, X. Lin, and J. X. Yu

    I/O Efficient Core Graph Decomposition at Web Scale

    International Conference on Data Engineering, 2016 (ICDE'16)

    [Best Paper Award] [Invited to TKDE]

Teaching

SOCIAL AND INFORMATION NETWORK ANALYSIS

Lecturer, 42913, Information Technology, UTS

2021

SOCIAL AND INFORMATION NETWORK ANALYSIS

Lecturer, 42913, Information Technology, UTS

2020

SOCIAL AND INFORMATION NETWORK ANALYSIS

Tutor, 42913, Information Technology, UTS

2018

Research Services

Chairmanship

Demonstration Chair of WISE 2021
Web Chair of LSGDA 2020

Program Committee Membership

PVLDB Demo 2020, CIKM 2021, CIKM 2020, LSGDA 2019, CIKM 2019