报 告 人：Jie Lu 教授（University of Technology, Sydney）
报告时间：10月24日（周四）10:00～11:15
报告地点：校本部东区计算机大楼1001室
邀 请 人：骆祥峰 研究员
报告摘要：本研究预解决以下问题： 如何重用以前数据中的知识解决由于当前数据稀少或是剧烈变化的环境引起的预测难题？ 在此次报告中，介绍了解决此问题的一种全新模糊迁移学习算法，其已被成功应用于银行破产预测中。
报告人简介:
Professor Jie Lu is the Head of School of Software in the Faculty of Engineering and Information Technology, and the Director of the Decision Systems and e-Service Intelligence Research Laboratory in the Centre for Quantum Computation & Intelligent Systems at the University of Technology, Sydney (UTS). Her main research interests lie in the area of decision making modeling, decision support system tools, uncertain information processing, intelligent prediction modeling, early warning systems, recommender systems and e-Government and e-Service intelligence. She has published five research books and over 350 papers in refereed journals and conference proceedings. She has won five Australian Research Council (ARC) discovery grants, and 17 other research grants. She received the first UTS Research Excellent Medal for Teaching and Research Integration in 2010. She serves as Editor-In-Chief for Knowledge-Based Systems (Elsevier), Editor-In-Chief for International Journal on Computational Intelligence Systems (Atlantis), Editor-In-Chief for book series on Intelligent Information Systems (World Scientific) and proceedings series on Computer Engineering and Information Science (World Scientific), and has served as a guest editor of six special issues for international journals, as well as having delivered five keynote speeches at international conferences.
