Casual Academic

Mr Zhengyi Yang

Sch: Computer Science & Eng

Zhengyi Yang is currently a PhD candidate in computer science at the University of New South Wales (UNSW), supervised by Prof. Xuemin Lin. Before that, he received the degree of Master of Engineering in Mathematical Computation, with First Class Honours, from University College London (UCL). His research focuses on distributed graph processing.


  • Journal articles | 2021
    Yang Z; Lai L; Lin X; Hao K; Zhang W, 2021, 'HUGE: An Efficient and Scalable Subgraph Enumeration System', Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pp. 2049 - 2062,
    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
  • 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,
    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,
    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,
    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,