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龐觀松

University of Technology Sydney, Australia

簡介  ABOUT

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學術   ACADEMIC

個人簡介

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.

 

教育背景

2015.07- University of Technology Sydney, PhD student

2013.12-2015.02 Monash University, Master of Philosophy

2013.07-2013.12 電子科技大學互聯網科學中心 訪問學生

2010.09-2013.06 廣東外語外貿大學國際工商管理學院 碩士

2006.09-2010.06 廣東外語外貿大學信息科學與技術學院 學士

工作經歷

2015.05-2015.07 University of Technology Sydney, Research Assistant

研究興趣

Data Mining, Machine Learning

Biography

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.

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