Speaker:

肖鸣宇 (电子科技大学)

Time:

• 15:00-17:00 (Time in Beijing)
• August 10, 2022 (Wednesday)

Venue:

Online, Tencent meeting: 671-120-370

Abstract:

Combinatorial optimization plays an important role in AI and real life. However, many optimization problems are NP hard, that is to say, there is no polynomial-time algorithm for them under reasonable assumptions. In practice, we have designed fast heuristic algorithms and exact algorithms for many of these problems, and they have a very good performance on tested benchmark instances. On the other hand, theoretical algorithms, may not be so practical, solve the problems with theoretical guarantees of running-time bound and solution quality, etc. In this talk, I will discuss the differences between theoretical and practical algorithms, and take the maximum independent set problem as an example to introduce exact algorithms with theoretical running-time bounds.

Speaker Bio:

2008年在香港中文大学获得计算机博士学位之后进入电子科技大学工作，现在为电子科技大学计算机学院教授，副院长。主要从事算法分析与设计、机制设计与博弈论、人工智能中的基础算法理论等方向的研究，在Information and Computation、JCSS、Algorithmica、ACM/IEEE Trans.、ICALP、IJCAI、AAAI、WWW、INCOFOM等算法、人工智能领域顶级期刊和会议上发表论文超过100篇，撰写英文专著1部，主持（完成）国家自然科学基金项目5项。是参数算法和精确算法国内外知名的学者。