主讲人：Keli Xiao

时 间：2023年7月4日14：30

地 点：逸夫楼621

报告题目 ：社会智能化：人工智能强化的序列决策系统

（Towards Social Intelligence: AI-Enhanced Decision Support System）

报告摘要：

From the viewpoints of both global and local benefits in human society, this talk discusses examples of artificial intelligence (AI)-based sequential decision support frameworks. By unifying related activities in a series of human decision optimization problems, a joint model integrating deep learning, reinforcement learning, parallel computing, and stochastic optimization techniques is introduced. This talk demonstrates examples of mobile route recommendations and career mobility recommendations, to showcase the social significance and practical value of the sequential decision framework.

主讲人简介：

肖可瓅（Xiao，Keli），美国纽约州立大学石溪分校商学院副教授（终身教授）。ACM和IEEE高级会员。2013年获得美国罗格斯大学商学院管理学博士。主要研究包括数据挖掘、机器学习及其在商业管理中的应用。在高质量国际期刊和会议发表论文。其中包括数据挖掘领域和决策分析领域顶级期刊IEEE Transactions on Knowledge and Data Engineering (TKDE)、ACM Transactions on Information Systems (TOIS), INFORMS Journal on Computing, ACM Transactions on Knowledge Discovery from Data (TKDD)等；及数据挖掘顶级国际会议ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD)、ACM Web Conference (WWW)、IEEE International Conference on Data Mining (ICDM)等。常年担任数据挖掘、人工智能及机器学习领域国际顶级会议程序委员会委员，如ACM SIGKDD、ACM SIGIR、IJCAI、AAAI、ICML、ICDM、CIKM等。担任Electronic Commerce Research and Applications等多个国际知名期刊副编委。