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Dr Zhengyi Yang
Associate Lecturer

Dr Zhengyi Yang

  • PhD in Computer Science, UNSW
  • MEng in Mathematical Computation, UCL
Engineering
Computer Science and Engineering

I'm an Associate Lecturer at UNSW's School of Computer Science and Engineering. I completed my PhD in computer science at the Data and Knowledge Research Group, UNSW, under the guidance of Prof. Xuemin Lin and Prof. Wenjie Zhang. I hold an MEng degree in Mathematical Computation (First Class Honours) from UCL, where I earned the IBM sponsorship for Best Undergraduate Final Year Project. My research interests encompass database systems, graph data processing, and big data analysis. For more information, please visit my personal website.

I'm actively looking for self-motivated MPhil and PhD students.
  • Book Chapters | 2023
    Hao K; Yuan L; Yang Z; Zhang W; Lin X, 2023, 'Efficient and Scalable Distributed Graph Structural Clustering at Billion Scale', in Database Systems for Advanced Applications, Springer Nature Switzerland, pp. 234 - 251, http://dx.doi.org/10.1007/978-3-031-30675-4_16
    Book Chapters | 2022
    2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Web Information Systems Engineering – WISE 2022, Springer International Publishing, pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
    Book Chapters | 2021
    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, Springer International Publishing, pp. 510 - 517, http://dx.doi.org/10.1007/978-3-030-91560-5_39
  • Journal articles | 2023
    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, pp. 629 - 629, http://dx.doi.org/10.3390/s23020629
    Journal articles | 2022
    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, pp. 12896 - 12896, http://dx.doi.org/10.3390/app122412896
    Journal articles | 2022
    Ma L; Zhang Y; Zhang H; Cheng L; Yang Z; Lu Y; Shi W; Li W; Zhuo J; Wang J; Fan L; Jiang T, 2022, 'BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network.', IEEE Trans Neural Netw Learn Syst, vol. PP, http://dx.doi.org/10.1109/TNNLS.2022.3213581
    Journal articles | 2021
    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
    Journal articles | 2019
    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
  • Preprints | 2023
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, Efficient Continuous kNN Join over Dynamic High-dimensional Data, , http://dx.doi.org/10.21203/rs.3.rs-2572561/v1
    Preprints | 2023
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, Efficient Continuous kNN Join over Dynamic High-dimensional Data, , http://dx.doi.org/10.21203/rs.3.rs-2572561/v2
    Preprints | 2023
    Ukey N; Zhang G; Yang Z; Li B; Li W; Zhang W, 2023, Efficient Continuous kNN Join over Dynamic High-dimensional Data, , http://dx.doi.org/10.21203/rs.3.rs-2572561/v3
    Conference Papers | 2023
    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, IEEE, pp. 2063 - 2076, presented at 2023 IEEE 39th International Conference on Data Engineering (ICDE), 03 April 2023 - 07 April 2023, http://dx.doi.org/10.1109/ICDE55515.2023.00160
    Preprints | 2023
    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
    Conference Papers | 2022
    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), Springer International Publishing, pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
    Conference Papers | 2022
    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), Springer International Publishing, pp. 115 - 127, http://dx.doi.org/10.1007/978-3-031-15512-3_9
    Conference Papers | 2022
    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
    Conference Papers | 2021
    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, ACM, 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
    Preprints | 2021
    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
    Conference Papers | 2020
    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
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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 | 2019
    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
    Conference Papers | 2019
    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

  • 2023 - 2025, Industry Grant from Enmotech Data AU : Just-in-time Compilation for High-Performance RDBMS Runtime, AU$527,260

  • Best Student Paper Award, ADC - 2022
  • Best Student Paper Award, KSEM - 2020
  • IBM sponsorship of Best Undergraduate Final Year Project (First Place) - 2018
  • UCL Computer Science App Award - 2014

Program Committee Member

  • ADMA 2023
  • DASFAA 2023
  • CIKM (Short Paper) 2021, 2022
  • WISE 2021

Organisation

  • Proceedings Chair: ADC 2023
  • Local Chair: ADC 2022

Editorial Board

  • Guest Editor: Special Issue of Applied Sciences
  • Reviewer: VLDB Journal, World Wide Web Journal, Frontiers of Computer Science

External Reviewer

  • SIGMOD, VLDB, ICDE, WWW, TODS, etc

My Teaching

COMP9311 Database Systems (22T2)