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Dianer Yu is a Research Associate at the City Futures Research Centre within the Faculty of Arts, Design & Architecture at the University of New South Wales (UNSW). His research primarily focuses on advancing generative Artificial Intelligence (AI) technologies, particularly in the area of Large Language Models (LLMs) and geospatial analytics to support urban planning and housing analytics. He completed his PhD in AI and Data Science at the University of Technology Sydney (UTS), under the supervision of notable scholars. Additionally, he holds a Master and Bachelor degree in Information Technology from UTS. Yu has authored over 20 publications in reputable AI journals and conferences such as TKDE, WWW, SIGIR, and CIKM. His expertise encompasses explainable AI, housing analytics, data science, causal inference, recommendation systems, and machine learning. He has received several accolades for his academic performance, including the HDR Excellence Reward and the President's Scholarship. Furthermore, Yu has taken on teaching responsibilities in AI programming-related subjects and is involved in multiple AI-related projects, including MapAI Urban Copilot. His involvement extends to organizing and reviewing prestigious academic conferences in the AI domain.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.