澳门科技大学资讯科技学院院长蔡亚从教授（Prof. TSOI Ah-Chung）于6月3日来北邮作学术报告。欢迎感兴趣的同学老师踊跃参与。
讲座题目：Web spam detection using machine learning techniques
报告摘要：Web spam detection is a challenging problem primarily because of the large number of features involved, the scarcity of having the number of validated spam sites, and that the data is related to one another through a web topology. In this talk, we will use machine learning techniques, e.g., self organising map, and multilayer perceptrons, except that in both cases, they are extended to handle graph data inputs, balancing of imbalanced data, feature reduction, to study the problem. We applied our techniques to two well known publicly available web spam detection datasets, namely, the UK 2006 dataset, and the UK 2007 dataset. On both datasets using our methods, we achieve the best generalisation results so far, published by others. Moreover our method can be applied to other graph based datasets, without much changes, e.g., the mutagenesis dataset, and we also achieve the best results so far. Hence, our techniques is a general methodology which can handle long term dependency in deep learning architectures.
Professor Tsoi Ah-Chung studied Electronic Engineering at the Hong Kong Technical College; Electronic Control Engineering and Control Engineering at University of Salford, England, where he obtained a MSc and a PhD degree in 1970 and 1972 respectively, and has served as Professor of Electrical Engineering at University of Queensland, Australia; Dean, Director of Information Technology Services, and then foundation Pro-Vice Chancellor (Information Technology and Communications) at University of Wollongong; Executive Director, Mathematics, Information and Communications Sciences Interdisciplinary cluster, Australian Research Council, Director, Monash e-Research Centre, Monash University, and Vice President (Research and Institutional Advancement), Hong Kong Baptist University, Hong Kong. In September 2010, he took up the position of Dean, Faculty of Information Technology, Macau University of Science and Technology.
Professor Tsoi was instrumental and supervised a number of large software projects, e.g., in University of Wollongong, he supervised the implementation of a web based student management system and integrated it with the other enterprise systems, e.g., finance, human resources; in Australian Research Council, he was an in-house expert in assisting the implementation of a new online research grant application management system, called RMS and it is in use today by all researchers within Australia who are applying for grants with the Australian Research Council; in Monash University, he was instrumental in the establishment of a grid computing system, involving a compute cluster, and its connection to the national grid of computers in Australia; in Hong Kong Baptist University, he supervised the implementation of an in-house implementation of enterprise information system involving student management, finance, human resources, and research grant administration.
Moreover, Professor Tsoi’s research area is neural networks, which can be applied to text mining, data mining. In this aspect, he had provided new algorithms for modelling graphs with the inclusion of both the link information and content information of nodes. He had successfully applied these techniques to classifying the Wikipedia dataset, web spam detection, and human action recognition, with state-of-the-art results.
Professor Tsoi has wide-ranging executive-level administrative experience. He has practical experience in managing a University Office of Information Technology Services, a commercial outlet of IT products, and University information systems. At the Hong Kong Baptist University, his portfolios included: research and research training, knowledge and technology transfer, University development and advancement, internationalization, alumni affairs, University public relations office, University Library. Moreover he was responsible for the quality assurance of academic standard of a sister college of the University in Zhuhai, China.