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Dr Dong Wen

Dr Dong Wen

Senior Lecturer
Engineering
Computer Science and Engineering

Dong Wen is a lecturer and DECRA research fellow 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. His main research interests focus on big graph analytics, distributed algorithms, and graph neural networks. He has established collaborations with several industry partners to apply his research outcomes in real-world applications.

We are recruiting self-motivated MPhil and PhD students. Send me an email with your CV if you would like to pursue research degree (PhD and MPhil) in the area of Big Data analytics. PhD scholarship with tuition fee waiver will be provided to outstanding applicants.
E-mail
dong.wen@unsw.edu.au
  • Book Chapters | 2024
    Yin H; Wang K; Zhang W; Wen D; Wang X; Zhang Y, 2024, 'Discovering Densest Subgraph over Heterogeneous Information Networks', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 341 - 355,
  • Journal articles | 2024
    Song J; Wen D; Xu L; Qin L; Zhang W; Lin X, 2024, 'On Querying Historical Connectivity in Temporal Graphs', Proceedings of the ACM on Management of Data, 2, pp. 1 - 25,
    Journal articles | 2023
    Ouyang D; Wen D; Qin L; Chang L; Lin X; Zhang Y, 2023, 'When hierarchy meets 2-hop-labeling: efficient shortest distance and path queries on road networks', VLDB Journal, 32, pp. 1263 - 1287,
    Journal articles | 2023
    Qiu YX; Wen D; Li RH; Qin L; Yu M; Lin X, 2023, 'Computing Significant Cliques in Large Labeled Networks', IEEE Transactions on Big Data, 9, pp. 904 - 917,
    Journal articles | 2023
    Wang X; Wen D; Qin L; Chang L; Zhang Y; Zhang W, 2023, 'ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 2019 - 2033,
    Journal articles | 2022
    Qiu YX; Wen D; Qin L; Li W; Li RH; Zhang Ying.Zhang@Uts.Edu.Au Y, 2022, 'Efficient Shortest Path Counting on Large Road Networks', Proceedings of the VLDB Endowment, 15, pp. 2098 - 2110,
    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, 25, pp. 609 - 629,
    Journal articles | 2022
    Wen D; Yang B; Qin L; Zhang Y; Chang L; Li RH, 2022, 'Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach', IEEE Transactions on Knowledge and Data Engineering, 34, pp. 3126 - 3138,
    Journal articles | 2022
    Wen D; Yang B; Zhang Y; Qin L; Cheng D; Zhang W, 2022, 'Span-reachability querying in large temporal graphs', VLDB Journal, 31, pp. 629 - 647,
    Journal articles | 2020
    Wen D; Li W; Lv J; Qiang Z; Li M, 2020, 'Methylene blue degradation by the VUV/UV/persulfate process: Effect of pH on the roles of photolysis and oxidation', Journal of Hazardous Materials, 391,
    Journal articles | 2019
    Li M; Li W; Wen D; Bolton JR; Blatchley ER; Qiang Z, 2019, 'Micropollutant Degradation by the UV/H2O2 Process: Kinetic Comparison among Various Radiation Sources', Environmental Science and Technology, 53, pp. 5241 - 5248,
    Journal articles | 2019
    Wen D; Qin L; Zhang Y; Chang L; Lin X, 2019, 'Efficient structural graph clustering: an index-based approach', VLDB Journal, 28, pp. 377 - 399,
    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, 31, pp. 75 - 90,
    Journal articles | 2018
    Cui L; Yue L; Wen D; Qin L, 2018, 'K-Connected Cores Computation in Large Dual Networks', Data Science and Engineering, 3, pp. 293 - 306,
    Journal articles | 2018
    Li W; Li M; Wen D; Qiang Z, 2018, 'Development of economical-running strategy for multi-lamp UV disinfection reactors in secondary water supply systems with computational fluid dynamics simulations', Chemical Engineering Journal, 343, pp. 317 - 323,
    Journal articles | 2018
    Wen D; Wu Z; Tang Y; Li M; Qiang Z, 2018, 'Accelerated degradation of sulfamethazine in water by VUV/UV photo-Fenton process: Impact of sulfamethazine concentration on reaction mechanism', Journal of Hazardous Materials, 344, pp. 1181 - 1187,
    Journal articles | 2017
    Li M; Li W; Wen D; Qiang Z; Blatchley ER, 2017, 'Experimental Evaluation of Turbidity Impact on the Fluence Rate Distribution in a UV Reactor Using a Microfluorescent Silica Detector', Environmental Science and Technology, 51, pp. 13241 - 13247,
    Journal articles | 2017
    Li M; Wen D; Qiang Z; Kiwi J, 2017, 'VUV/UV light inducing accelerated phenol degradation with a low electric input', RSC Advances, 7, pp. 7640 - 7647,
    Journal articles | 2017
    Xu C; Wen D; Zhu Q; Zhu H; Zhang Y; Huang D, 2017, 'Effects of Peanut Shell Biochar on the Adsorption of Cd(II) by Paddy Soil', Bulletin of Environmental Contamination and Toxicology, 98, pp. 413 - 419,
  • Conference Papers | 2024
    Chen K; Wen D; Zhang W; Zhang Y; Wang X; Lin X, 2024, 'Querying Structural Diversity in Streaming Graphs', in Proceedings of the VLDB Endowment, pp. 1034 - 1046,
    Conference Papers | 2024
    Hou J; Zhao Z; Wang Z; Lu W; Jin G; Wen D; Du X, 2024, 'AeonG: An Efficient Built-in Temporal Support in Graph Databases', in Proceedings of the VLDB Endowment, pp. 1515 - 1527,
    Conference Papers | 2024
    Yang M; Li W; Wang W; Wen D; Qin L, 2024, 'Querying Numeric-Constrained Shortest Distances on Road Networks', in Proceedings - International Conference on Data Engineering, pp. 2463 - 2475,
    Conference Papers | 2023
    Huang Y; Wen D; Lai L; Qian Z; Qin L; Zhang Y, 2023, 'Efficient and Effective Path Compression in Large Graphs', in Proceedings - International Conference on Data Engineering, pp. 3093 - 3105,
    Conference Papers | 2023
    Li W; Cai M; Gao M; Wen D; Qin L; Wang W, 2023, 'Expanding Reverse Nearest Neighbors', in Proceedings of the VLDB Endowment, pp. 630 - 642,
    Conference Papers | 2023
    Wang X; Wen D; Zhang W; Zhang Y; Qin L, 2023, 'Distributed Near-Maximum Independent Set Maintenance over Large-scale Dynamic Graphs', in Proceedings - International Conference on Data Engineering, pp. 2538 - 2550,
    Conference Papers | 2023
    Zhang W; Yang Z; Wen D; Wang X, 2023, 'Efficient Distributed Core Graph Decomposition', in IEEE International Conference on Data Mining Workshops, ICDMW, pp. 1023 - 1031,
    Conference Papers | 2022
    Li W; Gao M; Wen D; Zhou H; Ke C; Qin L, 2022, 'Manipulating Structural Graph Clustering', in Proceedings - International Conference on Data Engineering, pp. 2749 - 2761,
    Conference Abstracts | 2022
    Wang X; Wen D; Qin L; Chang L; Zhang W, 2022, 'ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract)', in Proceedings - International Conference on Data Engineering, Vol. 2022-May, pp. 1511 - 1512,
    Conference Papers | 2022
    Xiang S; Wen D; Cheng D; Zhang Y; Qin L; Qian Z; Lin X, 2022, 'General graph generators: experiments, analyses, and improvements', in VLDB Journal, pp. 897 - 925,
    Conference Papers | 2022
    Yu Y; Wen D; Zhang Y; Qin L; Zhang W; Lin X, 2022, 'GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction', in Proceedings - International Conference on Data Engineering, pp. 552 - 564,
    Conference Papers | 2022
    Zhang J; Li W; Qin L; Zhang Y; Wen D; Cui L; Lin X, 2022, 'Reachability Labeling for Distributed Graphs', in Proceedings - International Conference on Data Engineering, pp. 686 - 698,
    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,
    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, pp. 1871 - 1876,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,
    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,