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（本文轉(zhuǎn)自智能算法研究中心官方網(wǎng)站

https://www2.scut.edu.cn/huanghan/2024/0306/c9791a538003/page.htm）

報告時間：2024年3月13日（星期三）下午15:30

報告地點：廣州大學城華南理工大學軟件學院B7-303

主持人：楊曉偉 教授

報告題目：Fuzzy Machine Learning

報告摘要：

The talk will present the concept, framework, methods, and algorithms of fuzzy machine learning and how the new techniques can effectively learn from data to support data-driven prediction and decision-making in uncertain, complex, and dynamic situations. It will firstly present classical fuzzy machine learning. It will then introduce the concepts and advanced methods of fuzzy transfer learning and fuzzy drift learning respectively. Finally, it will talk about the applications of fuzzy machine learning in practice.

報告人：Distinguished Professor Jie Lu

個人簡介：

Distinguished Professor Jie Lu is a world-renowned scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, Australian Computer Society Fellow, and Australian Laureate Fellow. Professor Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published six research books and over 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects and over 20 industry projects as leading chief investigator; and supervised 50 PhD students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of two IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019 and 2022), NeurIPS Outstanding Paper Award (2022), Australia's Most Innovative Engineer Award (2019), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), Australian NSW Premier's Prize on Excellence in Engineering or Information & Communication Technology (2023), and the Officer of the Order of Australia (AO) in the Australia Day 2023.