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讲座邀请函
| 讲座主题 |
The Road from Research Ideas to Papers |
| 主讲人一 |
杨强教授，香港科技大学，中山大学信科院客座教授 |
| 主讲人二 |
Professor Charles Ling，University of Western Ontario, Canada |
| 日 期 |
2006年4月21日（周五）15：00～17：00 |
| 地 点 |
中山大学信息科学与技术学院A栋三楼讲学厅 |
| 主办单位 |
中山大学信息科学与技术学院 软件研究所 |
| 邀请对象1 |
中山大学教师、本科生、研究生等 |
| 邀请对象2 |
欢迎校外的师生也前来听讲！ |
| 主要内容 |
Young researchers, including Master and PHD students and some professors, often encounter great difficulties in formulating, writing and publishing high-quality research papers for competitive international conferences and journals. How can we identify good ideas for our research? How can we formulate our ideas into papers? How can we improve our paper-writing skills and avoid most of the typical mistakes? Why do reviewers reject your papers? We will try to answer these questions, share in-depth experiences and explore the road from research ideas to high-quality scientific papers. |
| 杨强教授简介 |
Professor Qiang Yang is a faculty member at Hong Kong University of Science and Technology with a primary research interest in Artificial Intelligence. He was a professor and Industry Research Chair of Canadian NSERC from 1995 to 2001 at Simon Fraser University in Canada, and was a tenured associate professor at the University of Waterloo prior to 1996. He graduated from Peking University in 1982, and obtained two master degrees, one in Computer Science and another in Astrophysics from the University of Maryland, College Park, and a PhD from the same university in 1989. In his career, he had also been a visiting professor at the University of Washington at Seattle, Microsoft Research China, and Nanyang Technological University as a visiting professor. He on the editorial board of a few international journals including IEEE Intelligent Systems and IEEE Transactions on Knowledge and Data Engineering, and has been an organizer for several top international conferences in AI, including
AAAI, PRICAI and PAKDD, ICDM and ICCBR. He is working on the novel area of integrating machine learning and data mining with AI planning. Professor Yang is also an adjunct professor at Zhong Shan University and Peking University. Besides doing research, he loves Chinese poetry. His home page is at
http://www.cs.ust.hk/~qyang. |
| Professor Charles Ling简介 |
Professor Charles Ling received the MSc and PhD degrees from the Department of Computer Science at the University of Pennsylvania in 1987 and 1989, respectively. Since then, he has been a faculty member of computer science at the University of Western Ontario, Canada. His main research areas include machine learning (theory, algorithms, and applications), cognitive modeling, and AI in general. He has published more than 100 research papers in journals (such as Machine Learning, JMLR, JAIR, IEEE Transactions on Knowledge and Data Engineering, and Cognition) and international conferences (such as IJCAI, ICML, and ICDM). He has been an associate editor for IEEE Transactions on Knowledge and Data Engineering and a guest editor for several journals. He is also the director of Data Mining Lab, leading data mining development in CRM, Bioinformatics, and the Internet. He has managed several data mining projects for major banks and insurance companies in Canada. Besides research, he also researches on Gifted Child Education. See http://www.csd.uwo.ca/faculty/cling for more information. |
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