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个人简介
Dr. Lau’s research philosophy lies on the notions of vision, persistence, flexibility, and collaboration. Research with great impact comes from: 1) the vision to establish long-term meaningful research goals which are achieved via inter-related short-term studies; 2) the persistence to continuously conduct indepth inquiries without immediate rewards; 3) the flexibility to adapt to changes in a research environment; 4) the collaboration with researchers across disciplines by using a variety of research methods and research perspectives. Dr. Lau’s research interests encompass artificial intelligence (e.g., deep learning, machine learning, topic modeling, ontology learning, image analysis, etc.), and its applications to business, social media analytics, big data analytics, and financial technology (fintech). Specifically, he often applies the design science research methodology to design novel IT artifacts, and evaluate the utilities of these IT artifacts through econometric-driven empirical analyses under a variety of real-world business contexts.
研究兴趣
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Journal of Business Research (2024): 114575
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2024): 123050
Journal of Business Research (2024): 114614
IEEE Transactions on Knowledge and Data Engineeringno. 5 (2023): 4852-4866
ICDEpp.3823-3824, (2023)
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