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
团队成员 查看更多
加入团队
若您加入本实验室攻读硕士/博士,开展博士后研究,或担任研究序列岗位,请将简历+1~2个代表性工作发送至本人邮箱。其中,代表性工作可以是论文,也可以是之前做过的项目/研究的简要描述(1~2 页纸)或技术报告。
更多详情请见NICAL。