Select Publications
Conference Papers
, 2025, 'Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems', in Proceedings International Conference on Data Engineering, pp. 3535 - 3548, http://dx.doi.org/10.1109/ICDE65448.2025.00264
, 2024, 'Hierarchical Structure Construction on Hypergraphs', in International Conference on Information and Knowledge Management Proceedings, pp. 1597 - 1606, http://dx.doi.org/10.1145/3627673.3679765
, 2024, 'COMPARING THE CAREER PATHS OF MALE AND FEMALE MANAGERS IN THE CONSTRUCTION INDUSTRY: INSIGHTS FROM LINKEDIN DATA', in Association of Researchers in Construction Management, ARCOM 2024 - Proceedings of the 40th Annual Conference, Association of Researchers in Construction Management, London, UK,, pp. 247 - 256, presented at 40th Annual ARCOM Conference, London, UK,, 02 September 2024 - 04 September 2024, http://dx.doi.org/10.26190/unsworks/30849
, 2024, 'Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs', in Www 2024 Proceedings of the ACM Web Conference, pp. 2395 - 2406, http://dx.doi.org/10.1145/3589334.3645438
, 2024, 'TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking', in Www 2024 Proceedings of the ACM Web Conference, pp. 527 - 538, http://dx.doi.org/10.1145/3589334.3645432
, 2023, 'Efficient Distributed Core Graph Decomposition', in IEEE International Conference on Data Mining Workshops Icdmw, pp. 1023 - 1031, http://dx.doi.org/10.1109/ICDMW60847.2023.00135
, 2023, 'HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs', in Proceedings International Conference on Data Engineering, pp. 2063 - 2076, http://dx.doi.org/10.1109/ICDE55515.2023.00160
, 2022, 'Efficient kNN Join over Dynamic High-Dimensional Data', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 63 - 75, http://dx.doi.org/10.1007/978-3-031-15512-3_5
, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Large Uncertain Graphs', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 115 - 127, http://dx.doi.org/10.1007/978-3-031-15512-3_9
, 2021, 'HUGE: An Efficient and Scalable Subgraph Enumeration System', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Virtual Event China, pp. 2049 - 2062, presented at SIGMOD/PODS '21: International Conference on Management of Data, Virtual Event China, 20 June 2021, http://dx.doi.org/10.1145/3448016.3457237
, 2020, 'An empirical study on recent graph database systems', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 328 - 340, http://dx.doi.org/10.1007/978-3-030-55130-8_29
, 2019, 'PatMat: A distributed pattern matching engine with Cypher', in International Conference on Information and Knowledge Management Proceedings, pp. 2921 - 2924, http://dx.doi.org/10.1145/3357384.3357840
, 2019, 'Improving distribued subgraph matching algorithm on timely dataflow', in Proceedings 2019 IEEE 35th International Conference on Data Engineering Workshops Icdew 2019, pp. 266 - 273, http://dx.doi.org/10.1109/ICDEW.2019.000-2
, 2019, 'Distributed Subgraph Matching on Timely Dataflow', in Proc. VLDB Endow., VLDB Endowment, pp. 1099–1112 - 1099–1112, http://dx.doi.org/10.14778/3339490.3339494
Conference Proceedings (Editor of)
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part I', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7232-2
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part II', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7235-3
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part III', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7238-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part IV', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7241-4
Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, (eds.), 2024, 'Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part V', presented at APWeb-WAIM 2024, 30 August 2024, http://dx.doi.org/10.1007/978-981-97-7244-5
Preprints
, 2023, An Empirical Analysis of Just-in-Time Compilation in Modern Databases, http://dx.doi.org/10.1007/978-3-031-47843-7_16
, 2023, Machine Learning Methods in Weather and Climate Applications: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v2
, 2023, Machine Learning Methods in Climate Prediction: A Survey, http://dx.doi.org/10.20944/preprints202309.1764.v1
, 2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, http://arxiv.org/abs/2302.06119v2
, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, http://arxiv.org/abs/2103.14294v2
, 2021, FAST: FPGA-based Subgraph Matching on Massive Graphs, http://dx.doi.org/10.48550/arxiv.2102.10768
, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, http://dx.doi.org/10.48550/arxiv.1906.11518
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], http://dx.doi.org/10.21203/rs.3.rs-2572561/v4
, Towards Efficient Simulation-Based Constrained Temporal Graph Pattern Matching, http://dx.doi.org/10.2139/ssrn.4187676