China Computer Federation (CCF) Advanced Disciplines Lectures (ADL)
Wisdom of the Crowd in the Era of Social Computing
Irwin King
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Abstract
The introduction of Web 2.0 paves the way for the emergence of the novel social computing paradigm, where computing based on human interactions plays a central and important role in harnessing the information and knowledge from the crowd. More specifically, human computation and crowdsourcing have become potent tools in solving complex problems that still post challenges to today's computers through the use of interactive games or as outsourced tasks. In this presentation, I will provide an introduction to the social computing framework and some of its related topics. Topics such as incentive models, quality assurance paradigms, etc. will be discussed. I will then focus on human computation and crowdsourcing systems. With the innovative human computing paradigm, several interesting applications will be presented to demonstrate how it can leverage the collective crowd intelligence to tackle difficult computational problems.
Research Interests
Prof. Irwin King's research interests include machine learning, social computing, web intelligence, data mining, big data, and multimedia information processing. In these research areas, he has over 210 technical publications in journals and conferences. In addition, he has contributed over 30 book chapters and edited volumes. Moreover, Prof. King has over 30 research and applied grants. One notable patented system he has developed is the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.
Prof. King is the Book Series Editor for “Social Media and Social Computing” with Taylor and Francis (CRC Press). He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN). He is a member of a number of Editorial Boards. He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors.
Dr. King is Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.
金国庆，香港中文大学计算机科学与工程系教授，加州大学伯克利分校访问教授，社会计算、机器学习、网络智能、信息检索、多媒体处理以及神经网络等领域的资深专家。在上述研究领域中，金教授已公开发表、主播或编纂200余篇期刊、会议论文、书刊及学术著述。他在加州理工学院（帕萨迪纳）获得工程与应用科学学士学位，在南加州大学获得计算机科学的硕士和博士学位。