Who I am

I am currently an Associate Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW) and a Visiting Database System Scientist at Enmotech Data AU. I obtained my PhD in Computer Science from UNSW under the supervision of Prof. Xuemin Lin (Member of the Academia Europaea, IEEE Fellow) and Prof. Wenjie Zhang (ARC Future Fellow) at the Data and Knowledge Research Group. Prior to that, I received my MEng in Mathematical Computation (First Class Honours) at the Computer Science Department of University College London (UCL), where I was awarded the IBM sponsorship for the Best Undergraduate Final Year Project (First Place). In 2018 and 2021, I worked as an intern at Alibaba DAMO Academy and Google, respectively.


Stuff I do

My expertise lies in developing efficient and scalable algorithms and systems for managing and processing large-scale data, including graph data, relational data, spatial-temporal data, and high-dimensional data, etc. I'm also interested in information retrieval, distributed systems, machine learning, AI meets databases (AI4DB/DB4AI), and AI for social good (AI4SG).

  • Programming

    Python Rust Java C
  • Data Analysis

    Python Spark Neo4j PostgreSQL
  • Machine Learning

    Python R Matlab TensorFlow
  • Web development

    Python Javascript PHP HTML

Selected Publications

Full List, Google Scholar, DBLP, ResearchGate, ORCID

Teaching & Supervision



  • Lecturer-in-Charge: COMP9311 Database Systems (22T2,23T2,24T2)
  • Lecturer: COMP9311 Database Systems (23T3), DATA1001 Introduction to Data Science and Decisions (23T2,24T2)
  • Guest Lecturer: COMP9313 Big Data Management (23T3), 42913 Social and Information Network Analysis (24S1@UTS)


I'm currently only taking new students within UNSW due to a heavy HDR workload. If you are with UNSW and interested in a research topic with me, please reach out via email with your CV. The following are students I currently supervise. You can find the list of all my students.

  • PhD Students: Nimish Ukey, Zhuoqing Xu, Diya Yan
  • MPhil Students: Jingtian Wei, Zebin Chen, Wenqian Zhang, Ruiqing Yan, Bocheng Han
  • Honours Students: Rohan Warrier, William Miles, Ruichuan Xiang, Zixiao Zhu, Ziyao Lu,
  • Reseach Project Students: Zishan Fu, Haonan Yan, Jiayang Shang, Xicheng Liu

Awards & Grants



  • Best Student Paper Award, ADC - 2022
  • Best Student Paper Award, KSEM - 2020
  • Tuition Fee Scholarship plus a Research Stipend, UNSW - 2018
  • IBM sponsorship of Best Undergraduate Final Year Project (First Place), UCL - 2018
  • Computer Science App Award, UCL - 2014


  • Jan 2024 - Jan 2026, Industry Grant from Venus Intelligence Technology: Data-Driven AI in Business Intelligence, AU$74,964
  • Feb 2025 - Feb 2026, Award for SIGMA Trading Management: Sigma Trading Research Award, AU$150,000
  • Oct 2023 - Oct 2024, Research Credits for Google Cloud Platform: Google Cloud Research Credits, US$7,840.
  • Jun 2023 - Jun 2025, Industry Grant from Enmotech Data AU: Just-in-time Compilation for High-Performance RDBMS Runtime, AU$527,260

Services & Talks


Professional Services

Organisation Program Committee Member
  • ICDE 2025
  • CIKM 2021 (Short), 2022 (Short), 2024
  • DASFAA 2023, 2024
  • APWEB 2024
  • WISE 2021
  • ADMA 2023, 2024
  • ADC 2022, 2023
Editorial Board
  • Guest Editor: Special Issue in Applied Sciences
  • Reviewer: TKDE, VLDB Journal, World Wide Web Journal, Theoretical Computer Science, Transactions on Spatial Algorithms and Systems, Frontiers of Computer Science, Entropy
External Reviewer


  • "Graph Computation in the Big Data Era - Applications and Algorithms", Research Cloud Frontiers of Science Online Lectures, Jun 2021 (in Simplified Chinese/Mandarin) [Bilibili] [Youtube]
  • "Building a Distributed Graph Database in Rust", Rust Meetup Sydney @ Atlassian, Feb 2020 [Slides]