advanced analytics institute, university of technology sydney
-
1
-
2
-
3
-
4
-
5
-
6
-
7
guansong pang is a phd student with advanced analytics institute at university of technology sydney with the supervision of professor longbing cao, dr. ling chen and professor huan liu (asu). his research interests include data mining and non-iid learning (especially on outlier detection and feature selection).
he has published more than 10 papers in refereed conferences and journals, such as ijcai, icdm, data mining and knowledge discovery journal (dmkd), journal of artificial intelligence research (jair), information processing & management journal (ip&m).
he has served the community as program committee member of aaai 2017, ijcai 2017 and pakdd 2017, and reviewer of information retrieval journal, ieee intelligent systems, international journal of data science and analytics.
2015.07- university of technology sydney, phd student
2013.12-2015.02 monash university, master of philosophy
2013.07-2013.12 电子科技大学互联网科学中心 访问学生
2010.09-2013.06 广东外语外贸大学国际工商管理学院 硕士
2006.09-2010.06 广东外语外贸大学信息科学与技术学院 学士
2015.05-2015.07 university of technology sydney, research assistant
data mining, machine learning
guansong pang is a phd student with advanced analytics institute at university of technology sydney with the supervision of professor longbing cao, dr. ling chen and professor huan liu (asu). his research interests include data mining and non-iid learning (especially on outlier detection and feature selection).
he has published more than 10 papers in refereed conferences and journals, such as ijcai, icdm, data mining and knowledge discovery journal (dmkd), journal of artificial intelligence research (jair), information processing & management journal (ip&m).
he has served the community as program committee member of aaai 2017, ijcai 2017 and pakdd 2017, and reviewer of ieee transactions on knowledge and data engineering, information retrieval journal, ieee intelligent systems, international journal of data science and analytics.
-
个人简介
-
教育背景
-
工作经历
-
常用链接
-
研究兴趣
-
biography
-
contact by scholat
scholat.com 学者网 |
about us | 尊龙凯时官方app下载 |