Summary
Xiuze Zhou is a PhD student in Artificial Intelligence at HKUST with nine years of research and industry experience applying machine learning to recommendation systems, large language models, and battery management systems. Previously a research scientist at Hithink RoyalFlush, he combined recommender tech with finance and drug-target prediction, published papers, pursued patents, and taught AI to staff. He has a strong academic foundation from Xiamen University and Zhejiang University of Science & Technology, and experience mentoring students and reproducing state-of-the-art ML methods. Based in Guangzhou, Xiuze maintains a technical blog and personal homepage, reflecting a commitment to making research accessible beyond academia. Notably, his work bridges practical production problems (e.g., stock/news recommender pipelines) with foundational research in LLMs and BMS.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Automation, 3.23/4.0, Bachelor of Engineering - BE, Automation, 3.23/4.0 at Zhejiang University of Science &Technology
Master of Engineering - MEng, Pattern Recognition and Intelligent Systems, 3.43/4.0, Master of Engineering - MEng, Pattern Recognition and Intelligent Systems, 3.43/4.0 at Xiamen University
Hong Kong University of Science and Technology (HKUST)