By Dr Zhengyi Yang

Book Chapters

Ma M; Yang Z; Hao K; Chen L; Wang C; Jin Y, 2024, 'An Empirical Analysis of Just-in-Time Compilation in Modern Databases', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 227 - 240, http://dx.doi.org/10.1007/978-3-031-47843-7_16

Ukey N; Yang Z; Yang W; Li B; Li R, 2024, 'kNN Join for Dynamic High-Dimensional Data: A Parallel Approach', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 3 - 16, http://dx.doi.org/10.1007/978-3-031-47843-7_1

Hao K; Yuan L; Yang Z; Zhang W; Lin X, 2023, 'Efficient and Scalable Distributed Graph Structural Clustering at Billion Scale', in , pp. 234 - 251, http://dx.doi.org/10.1007/978-3-031-30675-4_16

Li S; Yang Z; Zhang X; Zhang W; Lin X, 2021, 'SQL2Cypher: Automated Data and Query Migration from RDBMS to GDBMS', in Web Information Systems Engineering – WISE 2021, pp. 510 - 517, http://dx.doi.org/10.1007/978-3-030-91560-5_39

Journal articles

Zhang T; Cai X; Chen L; Yang Z; Gao Y; Cao B; Fan J, 2024, 'Towards efficient simulation-based constrained temporal graph pattern matching', World Wide Web, 27, http://dx.doi.org/10.1007/s11280-024-01259-2

Chen L; Han B; Wang X; Zhao J; Yang W; Yang Z, 2023, 'Machine Learning Methods in Weather and Climate Applications: A Survey', Applied Sciences, 13, pp. 12019 - 12019, http://dx.doi.org/10.3390/app132112019

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, 'Efficient continuous kNN join over dynamic high-dimensional data', World Wide Web, 26, pp. 3759 - 3794, http://dx.doi.org/10.1007/s11280-023-01204-9

Ukey N; Yang Z; Li B; Zhang G; Hu Y; Zhang W, 2023, 'Survey on Exact kNN Queries over High-Dimensional Data Space', Sensors, 23, http://dx.doi.org/10.3390/s23020629

Xu W; Sun L; Zhen C; Liu B; Yang Z; Yang W, 2022, 'Deep Learning-Based Image Recognition of Agricultural Pests', Applied Sciences (Switzerland), 12, http://dx.doi.org/10.3390/app122412896

Jin X; Yang Z; Lin X; Yang S; Qin L; Peng Y, 2021, 'FAST: FPGA-based Subgraph Matching on Massive Graphs', arXiv preprint arXiv:2102.10768

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; others , 2019, 'A Survey and Experimental Analysis of Distributed Subgraph Matching', arXiv preprint arXiv:1906.11518

Conference Papers

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, http://dx.doi.org/10.1109/ICDMW60847.2023.00135

Yang Z; Zhang W; Lin X; Zhang Y; Li S, 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

Ukey N; Yang Z; Zhang G; Liu B; Li B; Zhang W, 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

Li X; Hao K; Yang Z; Cao X; Zhang W; Yuan L; Lin X, 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

Li X; Hao K; Yang Z; Cao X; Zhang W, 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

Yang Z; Lai L; Lin X; Hao K; Zhang W, 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

Wang R; Yang Z; Zhang W; Lin X, 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

Hao K; Lai Z; Yang Z; Jin X; Lai L; Lin X, 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

Lai Z; Yang Z; Lai L, 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

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; Zhang Y; Qian Z; Zhou J, 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

Preprints

Ma M; Yang Z; Hao K; Chen L; Wang C; Jin Y, 2023, An Empirical Analysis of Just-in-Time Compilation in Modern Databases, , http://dx.doi.org/10.1007/978-3-031-47843-7_16

Chen L; Han B; Wang X; Zhao J; Yang W; Yang Z, 2023, Machine Learning Methods in Weather and Climate Applications: A Survey, , http://dx.doi.org/10.20944/preprints202309.1764.v2

Chen L; Han B; Wang X; Zhao J; Yang W; Yang Z, 2023, Machine Learning Methods in Climate Prediction: A Survey, , http://dx.doi.org/10.20944/preprints202309.1764.v1

Yang Z; Zhang W; Lin X; Zhang Y; Li S, 2023, HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs, , http://arxiv.org/abs/2302.06119v2

Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, HUGE: An Efficient and Scalable Subgraph Enumeration System, , http://dx.doi.org/10.48550/arxiv.2103.14294

Lai L; Qing Z; Yang Z; Jin X; Lai Z; Wang R; Hao K; Lin X; Qin L; Zhang W; Zhang Y; Qian Z; Zhou J, 2019, A Survey and Experimental Analysis of Distributed Subgraph Matching, , http://dx.doi.org/10.48550/arxiv.1906.11518

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v1], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v1

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v2], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v2

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v3], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v3

Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, Efficient Continuous kNN Join over Dynamic High-dimensional Data [v4], , http://dx.doi.org/10.21203/rs.3.rs-2572561/v4

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