PhD Student PI Renjie Named 2024 Apple Scholar in AI and Machine Learning

Computer Science and Engineering (CSE) PhD student PI Renjie has been named one of the 21 global recipients of the 2024 Apple Scholars in AIML. He is the only one from a Hong Kong institution and one of the only three from an Asian institution.

The Apple Scholars in AIML PhD fellowship recognizes the contributions of researchers in computer science and engineering at the graduate and postgraduate levels. Each Scholar receives funding as they pursue their PhD, internship opportunities, and mentorship with an Apple researcher in their field. Selection is based on the candidates’ innovative research, record as thought leaders and collaborators, and commitment to advancing their respective fields.

Renjie is co-supervised by CSE Department Head Prof. ZHOU Xiaofang and former CSE faculty member Prof. ZHANG Tong. He focuses on data-centric methodologies for AI, including approaches for improving data quality, reducing data redundancy and automatic generation of training data. Currently, he is working on the intersection of large language models, multi-modal learning and data generation.

About The Hong Kong University of Science and Technology
The Hong Kong University of Science and Technology (HKUST) (https://hkust.edu.hk/) is a world-class research intensive university that focuses on science, technology and business as well as humanities and social science.  HKUST offers an international campus, and a holistic and interdisciplinary pedagogy to nurture well-rounded graduates with global vision, a strong entrepreneurial spirit and innovative thinking.  Over 80% of our research work were rated “Internationally excellent” or “world leading” in the Research Assessment Exercise 2020 of Hong Kong’s University Grants Committee. We were ranked 3rd in Times Higher Education’s Young University Rankings 2022, and our graduates were ranked 23rd worldwide and among the best from universities from Asia in Global Employability University Ranking and Survey 2021.

What to read next