By Dr Zhengyi Yang

Book Chapters

Ning H; Han B; Yang Z; Hao K; Ma M; Wang C; Liu B; Chen X; Hao Y; Jin Y; Zhang W; Zhang C, 2024, 'Exploring Simple Architecture of Just-in-Time Compilation in Databases', in , pp. 504 - 514, http://dx.doi.org/10.1007/978-981-97-7244-5_44

Ding Y; Yang Z; Li S; Chen L; Ning H; Hao K; Liu Y, 2024, 'FGAQ: Accelerating Graph Analytical Queries Using FPGA', in , pp. 357 - 361, http://dx.doi.org/10.1007/978-981-97-7244-5_25

Chen K; Wen D; Li W; Yang Z; Zhang W, 2024, 'On Compressing Historical Cliques in Temporal Graphs', in , pp. 37 - 53, http://dx.doi.org/10.1007/978-981-97-5552-3_3

Yang W; Yang Z; Chen L; Yan R; Yang Z; Zhang L; Tang Y, 2024, 'Parallel Program Generation for Hybrid Tabular-Textual Question Answering', in , pp. 121 - 137, http://dx.doi.org/10.1007/978-981-97-7232-2_9

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

Li S; Kou P; Ma M; Yang H; Huang S; Yang Z, 2024, 'Application of Semi-Supervised Learning in Image Classification: Research on Fusion of Labeled and Unlabeled Data', IEEE Access, 12, pp. 27331 - 27343, http://dx.doi.org/10.1109/ACCESS.2024.3367772

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14964 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14962 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14961 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14965 LNCS, pp. v - vi

Zhang W; Tung A; Zheng Z; Yang Z; Wang X; Guo H, 2024, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14963 LNCS, pp. v - vi

Li L; Li Z; Guo F; Yang H; Wei J; Yang Z, 2024, 'Prototype Comparison Convolutional Networks for One-Shot Segmentation', IEEE Access, 12, pp. 54978 - 54990, http://dx.doi.org/10.1109/ACCESS.2024.3387742

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

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 (Switzerland), 13, http://dx.doi.org/10.3390/app132112019

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

Luo Q; Zhang W; Yang Z; Wen D; Wang X; Yu D; Lin X, 2024, 'Hierarchical Structure Construction on Hypergraphs', in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, pp. 1597 - 1606, presented at CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3627673.3679765

Zhang T; Gao Y; Zhao J; Chen L; Jin L; Yang Z; Cao B; Fan J, 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

Zhang T; Fang J; Yang Z; Cao B; Fan J, 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

Yan D; Sunindijo R; Wang C; Yang Z, 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, pp. 247 - 256

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

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

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

Cassidy CK; Qin Z; Frosio T; Gosink K; Yang Z; Sansom MSP; Stansfeld PJ; Parkinson JS; Zhang P, 2023, Structure of the Native Chemotaxis Core Signalling Unit from E-gene lysedE. colicells, http://dx.doi.org/10.1101/2023.01.30.526190

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

Jin X; Yang Z; Lin X; Yang S; Qin L; Peng Y, 2021, FAST: FPGA-based Subgraph Matching on Massive Graphs, http://dx.doi.org/10.48550/arxiv.2102.10768

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

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