Research & Projects

I would like to thank all the professors, senior students and organizations for providing me with the research opportunities and hand-on experiences below.

1. [FYP] When Viusal Query Interfaces meet Graph Query Engine (June. 2022 - May. 2023)

(Supervisor: Prof. ZHOU Xiaofang, Otto Poon Professor of Engineering and Chair Professor, Head of Department)

• Abstract: Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines (GQEs) for interactive search and exploration has also been studied for years. However, these two vibrant scientific fields are traditionally independent of each other, causing a vast barrier for users who wish to explore the full-stack operations of graph querying. In this demonstration, we propose a novel VQI system built upon Neo4j called VisualNeo that facilities an efficient subgraph query in large graph databases. VisualNeo inherits several advanced features from recent advanced VQIs, which include the data-driven GUI design and canned pattern generation. Additionally, it embodies a database manager module in order that users can connect to generic Neo4j databases. It performs query processing through the Neo4j driver and provides an aesthetic query result exploration.

• I’m delighted to announce that our work has been accepted for presentation at the prestigious VLDB 2023 conference. You can access our published work here.

• The project source code can be accessed here.

2. JMatch Android App (Feb. 2023 - Jun. 2023)

• Engineered a job-seeking mobile application that leverages Natural Language Processing (NLP) to align job descriptions with cover letters, providing a tailored platform for both candidates and recruiters.
• Utilized WeChat Cloud Database and WeChat Cloud Function to construct backend functionalities, including CRUD operations and email verification, ensuring a robust and secure application.
• Utilized multi-threading to guarantee UI rendering within 16ms, maintaining smooth and responsive interactions.
• The project source code can be accessed here.

3. Frontend Development of HKUST Path Advisor Project (Feb. 2022 - Jun. 2022)

(Supervisor: Prof. Raymond Wong, Associate Head (Education) and Professor, Department of Computer Science and Engineering, Associate Director of Sino Software Research Institute)

• HKUST Path Advisor is a system which could help users to find locations in our UST map easily. Currently, HKUST Path Advisor Version 2.0 is being operated.
• Enhanced search engine algorithms for a venue-finding platform, implementing error correction and utilizing edit distance metrics to improve searching accuracy and relevance.
• This work significantly increased the searching accuracy from 37% to 89%, enhancing the platform’s effectiveness.

4. OurDeal Shopping Platform (Jan. 2022 - May. 2022)

• Developed a second-hand trading platform using PHP for college students, featuring full CRUD database operations, responsive web design, and a user-friendly interface.
• The website, which is currently hosted on 000webhost, is operational and can be accessed here.
• The project source code can be accessed here.

5. Research on Front-end Web Design and Improvement of T-Music Web System (Sep. 2020 - Dec. 2020)

(Supervisor: Prof. Raymond Wong, Associate Head (Education) and Professor, Department of Computer Science and Engineering, Associate Director of Sino Software Research Institute)

• T-Music is an algorithm that composes a series of musical notes from input lyrics using frequent pattern mining and other data mining techniques. T-Music Web System is a maintainable and scalable system that deploy the usage of the algorithm. However, the implementation of the web system has not been completed yet and there is some future work to do. This project aims to equip us the basic front-end web design skills as well as to implement some new features based on the original web system.