代数仍是编码摇篮
报告专家：陈立 教授（中山大学）
报告时间：9月18日（周五）10:30-11:30
报告地点：数学学院西202
报告摘要：
The success of modern codes demonstrates the importance of probabilistic decoding which is a tunnel of utilizing soft information for data recovery. It can overshadow the role of conventional algebra such as minimum distance of a code. However, probabilistic decoding is effective when codeword length is large. Short-to-medium length (SML) codes may play an important role for scenarios that demand both high reliability and low latency or even power consumption. For SML codes, algebraic codes and structures are important for gaining error-correction competency. This talk will show grouping algebraic component codes through an algebraic structure enables interplay between their decoding, compensating their naturally small minimum distances. Two cases in recent coding practice will be shown, U-UV codes and GII codes. U-UV codes couple component codes in Plotkin structure. Empowered by soft decoding, they can be useful for 6G networks. GII codes visualize linear combinations of component codes in a nesting codebook paradigm in tackling richer error patterns. They can be useful for scenarios with scarce soft information, such as optical and chip communications.
专家简介：
陈立，中山大学教授、博导，广东省空天地海一体化网络工程实验室主任，中国电子学会信息论分会委员，中国通信学会青年工作委员会副主任委员、通信理论与信号处理委员会、信息通信及安全数学理论委员会委员，IEEE Transactions on Information Theory副主编，《电子学报》青年编委。现任IEEE广州分支副主席，IEEE信息论学会Aaron D. Wyner杰出服务奖评选委员会委员、广州分会主席。曾任IEEE信息论学会理事会理事、会议委员会主席（2022-2024），IEEE Transactions on Communications副主编（2018-2023）。研究方向：信息论，信道编码，纠错编码技术等。陈立教授共发表高质量SCI期刊文章与国际顶级会议文章百余篇，主持了5项国家自然科学基金项目、多项省部级纵向项目和华为技术有限公司横向合作项目。陈立教授参与多个国际学术会议的组织工作，2018 年作为大会共同主席在广州举办了IEEE信息论研讨会(ITW)，2022年分别在深圳和佛山举办IEEE东亚信息论学校(EASIT)和IEEE/CIC中国通信国际会议 (ICCC)。2026年在广州举办了IEEE信息论年会（ISIT）。
邀请人：胡泽春
