Speaker：ZHANG Yi, Associate Professor, University of Technology Sydney
Time：p.m.14:30, Wednesday, November 25, 2025
Venue：Room 224, Building No.12, Wushan Campus
Organizer: School of Business Administration
Biography：
Dr Yi Zhang is an Associate Professor at the Australian Artificial Intelligence Institute and the School of Computer Science in the Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. He has published over 100 high-quality research articles in top-tier venues in information science, technology management, and computer science, reflecting his cross-disciplinary interests in artificial intelligence for science, technology, and innovation studies.
He received the 2019 Discovery Early Career Researcher Award from the Australian Research Council and the 2023 Research Award from The Australian, recognising him as the Research Field Leader in Australia’s Library and Information Science discipline.
He is an Executive Editor for Technological Forecasting & Social Change, a Specialty Chief Editor for Frontiers in Research Metrics and Analytics, and an Associate Editor for IEEE Transactions on Engineering Management, Scientometrics and International Journal of Computational Intelligence Systems.
Abstract：
Drawing the evolution from large language models (LLMs) as analytical tools to “LLMs+” as integrated systems across science, technology, and innovation (ST&I) studies, this talk will present a cohesive programme of our recent research on LLMs plus complementary AI techniques to enhance research evaluation, ST&I recommendations, and technological forecasting. We will demonstrate how these hybrids enable novel capabilities, including LLM-augmented post-publication evaluation and research motivation classification, graph-enhanced chain-of-thoughts reasoning in academic knowledge graphs, multi-agent LLM workflows for citation prediction, and synergised LLMs and heterogeneous hypergraph learning for predicting knowledge recombination.
