UCL

Who I am

I am 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 completed my PhD in Computer Science at the Data and Knowledge Research Group, UNSW, under the supervision of Prof. Xuemin Lin (Member of the Academia Europaea, IEEE Fellow) and Prof. Wenjie Zhang (ARC Future Fellow). Prior to that, I obtained my MEng degree in Mathematical Computation (First Class Honours) from University College London (UCL), where I was awarded the IBM sponsorship for the Best Undergraduate Final Year Project. 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 various other computer science areas, such as information retrieval, distributed systems, and machine learning.

  • 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)
  • Lecturer: COMP9311 Database Systems (23T3), DATA1001 Introduction to Data Science and Decisions (23T2)
  • Guest Lecturer: COMP9313 Big Data Management (23T3)

Supervision

The following are students I currently supervise. You can find a list of all my students here. I'm consistently seeking self-motivated research students (MPhil/PhD) and thesis students. If you're interested, please reach out via email with your CV.

  • PhD Students: Nimish Ukey, Zhuoqing Xu
  • MPhil Students: Miao Ma, Jingtian Wei, Zebin Chen, Wenqian Zhang
  • Honours Students: Rohan Warrier, Yijie Zhao, Hualong Lin
  • Reseach Project Students: Sijia Xu, Haoran Ning
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Awards & Grants

Award

Awards

  • 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

  • 2023 - 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

Program Committee Member
  • DASFAA 2023, 2024
  • ADMA 2023, 2024
  • ADC 2022, 2023
  • CIKM (Short Paper) 2021, 2022
  • WISE 2021
Organisation
  • Proceedings Chair: APWeb-WAIM 2024, ADC 2023
  • Local Chair: ADC 2022
  • Session Chair: DASFAA 2023, VLDB 2022
Editorial Board
  • Guest Editor: Special Issue in Applied Sciences
  • Reviewer: VLDB Journal, World Wide Web Journal, Expert Systems with Applications, Theoretical Computer Science, Transactions on Spatial Algorithms and Systems, Frontiers of Computer Science
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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