2018年IEEE信息论研讨会

[基本信息]

会议名称:2018年IEEE信息论研讨会

IEEE Information Theory Workshop 2018

所属学科:信号与信息处理,通信技术

开始日期:2018-11-25

结束日期:2018-11-29

所在国家:中华人民共和国

所在城市:广东省 广州市

主办单位:IEEE Information Theory Society 、中山大学

[会务组联系方式]

E-MAIL:itw2018gz@gmail.com

会议网站:http://sece.sysu.edu.cn/itw2018/

[会议背景介绍]

ITW 2018 solicits and welcomes original contributions on the frontiers of information theory, coding theory and their applications, as well as the frontiers with other fields such as data science, biology and signal processing. The conference structure consists of a daily plenary seminar followed by two parallel paper sessions throughout the day. Guangzhou, the third largest city in mainland China and known as the "Southern Capital," is renowned for the enterprising spirit and open-mindedness of its people throughout its history of over 2,000 years. The conference attendees will have an opportunity to sample a vibrant local culture and partake in some of the best Cantonese cuisine. The conference venue is the Sun Yat-sen University Kaifeng Hotel, located within the university campus where the attendees can explore many historic architectures and artifacts, including the famous Swacey Hall, Xing Pavilion, Scholar Archway and many others. The conference provides many opportunities for informal interaction through social events, including the welcome reception on November 25, Pearl River night cruise on November 26, banquet at the Sky No. 1 Restaurant on November 27, and an excursion to Baiyun Mountain on November 28. A pleasant surprise awaits the attendees who stay at the conference through its final day. We look forward to adding to the tradition of successful ITWs in the mainland, including ITW Beijing 1988 and Chengdu 2006. With appreciation and anticipation, we look forward to welcoming you in Guangzhou.

[征文范围及要求]

Original papers on Information and Coding Theory are encouraged for submission. Our special interests include: ◾Information Theory and its Applications ◾Frontiers of Coding Theory and Practice ◾Boundaries between Information Theory and Data Science, Biology and Signal Processing ◾Network Information Theory ◾Network Coding and Distributed Storage ◾Information Theoretic Security