Scholar
Yueqing Xuan
Google Scholar ID: mQwNJU8AAAAJ
RMIT University
Citations & Impact
Citations
34
H-index
3
i10-index
2
Publications
6
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received a grade of 91 (First Class Honours / H1) for the master's thesis project, which involved proposing a multi-modal Entity Linker that automatically recognises objects of interest in natural language commands and links textual mentions of entities to visual mentions of the same real-world entities.
- Recognised on the Dean's Honours List 2021 at the University of Melbourne for top 5% students.
- Awarded Melbourne Graduate Scholarship 2022.
Research Experience
- August 2022 to present, conducting doctoral research at RMIT University focusing on explainability and fairness in Machine Learning and Recommender Systems.
- July 2022 to some time in 2022, worked as a casual research assistant on the 'Humanoid robotic arm control through verbal commands' project. Responsibilities included deploying an off-the-shelf voice activation engine and an Automatic Speech Recognition (ASR) system, integrating the framework with a humanoid robot - Reachy, for real-time control using voice commands.
Education
- PhD (Computer Science), RMIT University, Aug 2022 - Jan 2026 (expected). Supervisors: Prof Jeffrey Chan, Prof Mark Sanderson, and Dr Kacper Sokol. Scholarship recipient: ARC Centre for Automated Decision-Making and Society (ADM+S).
- Master of Information Technology, University of Melbourne, Feb 2020 - Jul 2022. Specialized in Artificial Intelligence. WAM: 84.50. Relevant Coursework: Research Project, Natural Language Processing, Computer Vision, Statistical Machine Learning, etc. Achievements: Recognised on the Dean's Honours List 2021 at the University of Melbourne; Awarded Melbourne Graduate Scholarship 2022.
- Bachelor of Commerce, University of New South Wales, Jul 2015 – Jul 2018. Major in Accounting and Information Systems. WAM: 74.50. Relevant Coursework: Database Management and Big Data, Information System in Business, Business System Analysis, Programming for Business, etc. Achievements: High Distinction (HD) average in programming subjects, Distinction (D) average in accounting subjects, Second place in COMP1531 (Software Engineering Fundamentals).
Background
- Research Interests: Explainability and fairness in Machine Learning and Recommender Systems. Specialization: Computer Science. Profile: A PhD student at the School of Computing Technologies, RMIT University, and a student member of the Australian Research Council (ARC) Centre of Excellence for Automated Decision-Making and Society (ADM+S).
Miscellany
- Personal interests and other information not provided.
