Prof. Yulin Wang
  • Organization | 单位

    Wuhan University, China
  • Biography | 简介

    Prof. Yulin Wang is a full professor and PhD supervisor in the School of Computer Science, Wuhan University, China. He got PhD degree in 2005 from University of London, UK. Before that, he has worked in high-tech industry, including Huawei@, for more than ten years. He has involved many key projects, and hold 8 patents. He got his master and bachelor degree in 1990 and 1987 respectively from Xi-Dian University, and Huazhong University of Science and Technology(HUST), both in China. His research interests include digital rights management, software engineering, information security, and artificial intelligence. In recently 10 years, Prof. Wang has published as first author 3 books, 40 conference papers and 45 journal papers, including in IEEE Transactions and IEE proceedings and Elsevier Journals. Prof. Wang served as editor-in-chief for International Journal of Advances in Multimedia in 2010. He served as reviewer for many journals, including IEEE Transactions on Image Processing, IEEE Signal Processing Letters, Elsevier Journal of Information Sciences. He served as reviewer for many research funds, including National High Technology Research and Development Program of China ( ‘863’ project). Prof. Wang was the external PhD adviser of Dublin City University, Ireland during 2008-2010. He was the keynote speakers in many international conferences. He bas been listed in Marcus ‘who’s who in the world’ since 2008.

  • Speech Title | 演讲题目

    Detection of Source Code Clone
  • Abstract | 摘要

    Code clones are separate fragments of code that are very similar. They are a common phenomenon in an application that has been under development for some time. Although modern programming languages offer various abstraction mechanisms to facilitate reuse of code fragments, copy-paste is still a widely used reuse strategy. This often leads to numerous duplicated code fragments -so called clones- in large software systems. However, cloning is problematic for software maintenance for several reasons:
    (1) Cloning unnecessarily increases program size. Since many maintenance efforts correlate with program size, this increases the maintenance effort.
    (2) Changes to one clone, such as bug fixing, typically need to be made to the other clones as well, again increasing maintenance effort.
    (3) If changes to duplicated source code fragments are performed inconsistently, this can introduce bugs.
    In this talk, we begin with background concepts, a generic clone detection process and an overall taxonomy of current techniques and tools. We then classify, compare and evaluate the techniques and tools in two different dimensions. First, we classify and compare approaches based on a number of facets, each of which has a set of (possibly overlapping) attributes. Second, we qualitatively evaluate the classified techniques and tools with respect to a taxonomy of editing scenarios.
Prof. NGAN King Ngi ( IEEE & IET Fellow )
  • Organization | 单位

    University of Electronic Science and Technology of China, China
  • Biography | 简介

    King N. Ngan (F’00) received the Ph.D. degree in Electrical Engineering from the Loughborough University in U.K. He is currently a Chair Professor at the University of Electronic Science and Technology, Chengdu, China, under the National Thousand Talents Program. He was previously a Chair Professor at the Chinese University of Hong Kong, the Nanyang Technological University, Singapore, and the University of Western Australia, Australia. He holds honorary and visiting professorships of numerous universities in China, Australia and South East Asia.
    Prof. Ngan served as associate editor of IEEE Transactions on Circuits and Systems for Video Technology, Journal on Visual Communications and Image Representation, EURASIP Journal of Signal Processing: Image Communication, and Journal of Applied Signal Processing. He chaired and co-chaired a number of prestigious international conferences on image and video processing including the 2010 IEEE International Conference on Image Processing, and served on the advisory and technical committees of numerous professional organizations. He has published extensively including 3 authored books, 7 edited volumes, over 400 refereed technical papers, and edited 9 special issues in journals. In addition, he holds 15 patents in the areas of image video coding and communications.
    Prof. Ngan is a Fellow of IEEE (U.S.A.), IET (U.K.), and IEAust (Australia), and an IEEE Distinguished Lecturer in 2006-2007.

  • Speech Title | 演讲题目

    Coming Soon......
  • Abstract | 摘要

    Coming soon......
Prof. Wernhuar Tarng
  • Organization | 单位

    National Tsing Hua University, Taiwan
  • Biography | 简介

    Wernhuar Tarng is currently a professor at the Institute of Learning Sciences and Technologies, National Tsing Hua University, Taiwan. He was the director of Computing and Networking Center, National Hsinchu University of Education, Taiwan from 1993 to 2004, and the chairman of the Graduate Institute of Computer Science from 2008 to 2012. From 1980, Prof. Tarng conducted his undergraduate study at National Chiao Tung University, Taiwan and he was graduated from the Department of Control Engineering in 1984. He received his M.S. degree (1987) and Ph.D. degree (1992) from the Department of Electrical and Computer Engineering, State University of New York at Buffalo, USA. Prof. Tarng has received more than 20 grant projects funded by Ministry of Science and Technology (MOST), Taiwan and published over 100 research papers in the field of computer science, engineering, networking, and learning technologies. Prof. Tarng was a visiting professor of Distant and Online Learning Center, Oxford University, UK in 2002 and a visiting scholar at Hear and Say Centre, Brisbane, Australia from 2014 to 2015. His current research interests include: Learning science and technology, virtual reality, augmented reality, game-based learning, image processing, pattern recognition, computer architecture, and computer networking.

  • Speech Title | 演讲题目

    Coming Soon......
  • Abstract | 摘要

    Coming soon......