UCL

Who I am

I am an ARC Early Career Industry Fellow in the School of Computer Science and Engineering at the University of New South Wales (UNSW) —  the first recipient of this fellowship in the school. I am also the Founder of Euler AI and have served as a Visiting Database Systems Scientist at Enmotech Data AU. I completed my PhD in Computer Science at UNSW under the supervision of Prof. Xuemin Lin (Member of the Academia Europaea, IEEE Fellow) and Prof. Wenjie Zhang (ACS Fellow, ARC Future Fellow) within the Data and Knowledge Research Group. Before that, I received my MEng in Mathematical Computation (First Class Honours) from the Department of Computer Science at 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 interned 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
  • Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine (SIGMOD 2026)
  • PhoebeDB: A Disk-Based RDBMS Kernel for High-Performance and Cost-Effective OLTP (EDBT 2025)
  • Accelerating Core Decomposition in Billion-Scale Hypergraphs (SIGMOD 2025) [Code]
  • A Cluster-Based Approach to kNN Join over Batch-Dynamic High-Dimensional Data (ADMA 2024) - Best Student Paper [Slides]
  • TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking (WWW 2024) [Video] [Code]
  • HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs (ICDE 2023) [Slides] [Full Paper]
  • Efficient kNN Join over Dynamic High-dimensional Data (ADC 2022) - Best Student Paper [Slides]
  • HUGE: An Efficient and Scalable Subgraph Enumeration System (SIGMOD 2021) [Slides] [Full Paper]
  • FAST: FPGA-based Subgraph Matching on Massive Graphs (ICDE 2021) [Slides] [Full Paper]
  • An Empirical Study on Recent Graph Database Systems (KSEM 2020) - Best Student Paper [Slides] [GitHub]
  • Distributed Subgraph Matching on Timely Dataflow (VLDB 2019) [PDF] [Slides] [GitHub] [Full Paper]
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Teaching & Supervision

Room

Teaching

  • Lecturer-in-Charge: COMP9311 Database Systems (22T2,23T2,24T2,24T3,25T2)
  • Lecturer: COMP9311 Database Systems (23T3), DATA1001 Introduction to Data Science and Decisions (23T2,24T2,25T2)
  • Guest Lecturer: COMP9313 Big Data Management (23T3), 42913 Social and Information Network Analysis (24S1@UTS), COMP6210 Big Data (24S2@Macquarie University)

Supervision

I am seeking self-motivated research students (MPhil/PhD) and thesis students (Honours/MTech/MData). Email me your CV if interested. Below is the list of students I am supervising now (full student list).

  • PhD Students: Zhuoqing Xu, Diya Yan, Sijia Xu, Wenqian Zhang
  • MPhil Students: Bocheng Han, Weiyuan Wang, Yizhe Zhang, Huangleshuai He, Xushuo Tang, Jiate Liu, Ziyao Lu
  • Honours Students: Nicolaas Van Der Merwe, William Park, Minh Truong, Merry Rosalie
  • Reseach Project Students: Xinru Cao, Mengze Wu, David Wong, Zhiyang Xing, Yang Zhang, Hao Zhu, Tram Dinh
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Awards & Grants

Award

Awards

  • Best Student Paper Award, ADMA - 2024
  • 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 2026 - Dec 2028, ARC Early Career Industry Fellow, Solo CI, AU$478,161
  • Jan 2024 - Jan 2026, Data-Driven AI in Business Intelligence, Lead CI, AU$74,964
  • Feb 2025 - Feb 2026, Sigma Trading Research Award, Lead CI, AU$150,000
  • Oct 2023 - Oct 2024, Google Cloud Research Credits, Solo CI, US$7,840.
  • Jun 2023 - Dec 2025, Just-in-time Compilation for High-Performance RDBMS Runtime, Lead CI, AU$527,260
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Services & Talks

Service

Professional Services

Organisation Program Committee Member
  • ICDE 2025
  • WWW 2025
  • KDD 2025, 2026
  • CIKM 2021, 2022, 2024, 2025
  • DASFAA 2023, 2024, 2025
  • APWeb-WAIM 2024, 2025
  • WISE 2021
  • ADMA 2023, 2024
  • ADC 2022, 2023
Editorial Board
  • Guest Editor: Applied Sciences ( SI1, SI2 )
  • Reviewer: Nature Communications, TKDE, VLDB Journal, World Wide Web Journal, Transactions on Social Computing, Transactions on Spatial Algorithms and Systems, Theoretical Computer Science Frontiers of Computer Science, Entropy

Talks

  • "Graph Pattern Matching: Algorithms and Applications”, Hunan University, Sep 2024; Southeast University, Dec 2024; Nanjing University, April 2025
  • "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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