UCL

Who I am

I am currently a researcher and associate lecturer (PhD supervisor) 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.

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Code

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
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Selected Publications

Book
Full List, Google Scholar, DBLP, ResearchGate, ORCID
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Teaching & Supervision

Room

Teaching

  • Lecturer-in-Charge: COMP9311 Database Systems (22T2,23T2,24T2,24T3)
  • 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)

Supervision

I'm currently only accepting honours/project students within UNSW due to a heavy HDR workload. Below is the list of students I am supervising now (full student list).

  • PhD Students: Zhuoqing Xu, Diya Yan, Sijia Xu
  • MPhil Students: Jingtian Wei, Zebin Chen, Wenqian Zhang, Ruiqing Yan, Bocheng Han
  • Honours Students: William Miles, Ruichuan Xiang, Zixiao Zhu, Ziyao Lu, Nicolaas Van Der Merwe, Alexander Garrity
  • Reseach Project Students: Zishan Fu, Xicheng Liu
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Awards & Grants

Award

Awards

  • Excellence Service Award, APWeb-WAIM - 2024
  • 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

Grants

  • 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
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Services & Talks

Service

Professional Services

Organisation Program Committee Member
  • WWW 2025
  • 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
  • SIGMOD, VLDB, ICDE, WWW, TODS, etc

Talks

  • "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]
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