Dong Wen

Orcid: 0000-0002-0903-1503

Affiliations:
  • University of New South Wales, Sydney, NSW, Australia
  • University of Technology Sydney, NSW, Australia (PhD)


According to our database1, Dong Wen authored at least 35 papers between 2016 and 2024.

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Bibliography

2024
AeonG: An Efficient Built-in Temporal Support in Graph Databases.
Proc. VLDB Endow., February, 2024

Querying Structural Diversity in Streaming Graphs.
Proc. VLDB Endow., January, 2024

2023
Expanding Reverse Nearest Neighbors.
Proc. VLDB Endow., December, 2023

When hierarchy meets 2-hop-labeling: efficient shortest distance and path queries on road networks.
VLDB J., November, 2023

Computing Significant Cliques in Large Labeled Networks.
IEEE Trans. Big Data, June, 2023

ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing.
IEEE Trans. Knowl. Data Eng., 2023

Efficient Distributed Core Graph Decomposition.
Proceedings of the IEEE International Conference on Data Mining, 2023

Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Efficient and Effective Path Compression in Large Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Discovering Densest Subgraph over Heterogeneous Information Networks.
Proceedings of the Databases Theory and Applications, 2023

2022
Powerful graph of graphs neural network for structured entity analysis.
World Wide Web, 2022

General graph generators: experiments, analyses, and improvements.
VLDB J., 2022

Span-reachability querying in large temporal graphs.
VLDB J., 2022

Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Shortest Path Counting on Large Road Networks.
Proc. VLDB Endow., 2022

Reachability Labeling for Distributed Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Manipulating Structural Graph Clustering.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
On Querying Historical K-Cores.
Proc. VLDB Endow., 2021

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Graph3S: A Simple, Speedy and Scalable Distributed Graph Processing System.
CoRR, 2020

Progressive Top-K Nearest Neighbors Search in Large Road Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020

Efficiently Answering Span-Reachability Queries in Large Temporal Graphs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering.
IEEE Trans. Knowl. Data Eng., 2019

Fully Dynamic Depth-First Search in Directed Graphs.
Proc. VLDB Endow., 2019

Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Enumerating k-Vertex Connected Components in Large Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Skyline Nearest Neighbor Search on Multi-layer Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

2018
Structural community detection in big graphs
PhD thesis, 2018

K-Connected Cores Computation in Large Dual Networks.
Data Sci. Eng., 2018

K-Connected Cores Computation in Large Dual Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Efficient Structural Graph Clustering: An Index-Based Approach.
Proc. VLDB Endow., 2017

Enumerating k-Vertex Connected Components in Large Graphs.
CoRR, 2017

2016
I/O efficient Core Graph Decomposition at web scale.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016


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