教授 计算机科学与工程系 课题组网站
唐珂,南方科技大学计算机科学与工程系教授、教育部特聘教授、"国家高层次人才特殊支持计划“青年拔尖人才。主要研究领域为人工智能的共性原理、算法(如演化计算、强化学习、机器学习等),以及人工智能与设计、金融、物流等领域的交叉研究。研究成果曾获教育部一等奖、二等奖、中国电子学会自然科学一等奖。入选英国皇家学会牛顿高级学者 (Newton Advanced Fellow),并获 IEEE Computational Intelligence Society Outstanding Early Career Award。现兼任广东省类脑智能计算重点实验室副主任、深圳斯发基斯可信自主系统研究院副院长。更多详情请见实验室主页 NICAL 。
个人简介
研究领域
My work is, in general, about fundamental research on Machine Learning and Optimization, two most important problems in Artificial Intelligence. I'm also frequently attracted by other relevant domains, such as Smart Logistics, Structural and Multi-Disciplinary Optimization and Computational Finance, for which applied research is required to produce application-oriented learning and optimization techniques.
More specifically, most of my research could also be viewed as arising from Evolutionary Computation, which is essentially a distributed heuristic search framework widely applicable for modelling, learning and optimization problems, especially for hard problems such as Black-Box Optimization, Multi-Objective Optimization and Dynamic Optimization.
Details regarding my research could be found at NICAL
教学
已培养毕业博士生 18 人,硕士生 40 余人。讲授(或曾讲授)人工智能、算法基础、计算机导论、创新实践、研究方法、智能数据分析、模式识别等本科或研究生课程。
学术成果 查看更多
发表学术论文 190 余篇,谷歌学术引用 10000 余次。代表性成果详情请见 NICAL