Dong Xu ( ) 

Associate Professor


School of Computer Engineering

Nanyang Technological University

Blk N4, 2A-29, Nanyang Avenue, Singapore, 639798


Office:  N4-02a-29        Email:  dongxu AT ntu dot edu dot sg
Phone:  (65) 67904166    Fax:  (65) 67926559


I am always looking for Graduate Students, Project Officers, Research Assistants and Postdoctoral Research Fellows to work on topics of computer vision, machine learning and multimedia content analysis. Anyone interested can directly send the resume to me.


Dong Xu received the B.Eng. and PhD degrees from University of Science and Technology of China, in 2001 and 2005, respectively. While pursuing the PhD degree, he worked at Microsoft Research Asia and The Chinese University of Hong Kong for more than two years. He also worked at Columbia University for one year as a postdoctoral research scientist. In May 2007, he joined Nanyang Technological University in Singapore, where he is currently an associate professor with School of Computer Engineering.

His research focuses on new theories, algorithms and systems for intelligent processing and understanding of visual data such as images and videos. He has published more than 50 papers in IEEE Transactions (including 8 papers in T-PAMI) and more than 30 papers in top tier conferences CVPR, ICCV, ECCV, ICML, ACM MM and MICCAI. He was the co-author (with his former PhD student Lixin Duan) of a paper that won the Best Student Paper Award in CVPR 2010. His publications have been cited more than 2000 times in Scopus. Since 2008, he has received over S$3.5M in research grant funding, from Singapore National Research Foundation (NRF), A*STAR, Ministry of Education (MOE), Rolls-Royce Singapore Pte Ltd (RRSPL) and Microsoft Research Asia (MSRA). The former PhD students Yi Huang and Lixin Duan in his research group were awarded the prestigious MSRA Fellowship Awards in 2008 and 2009, respectively.

He is on the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, and Machine Vision and Applications (Springer). He is currently serving as a guest editor of a special issue on Domain Adaptation for Vision Applications in IJCV and a program co-chair of ICME 2014. He has served as an area chair of CVPR 2012, a program co-chair of PCM 2012, and guest editors of five special issues in T-CSVT, T-SMC-B, ACM TOMCCAP, CVIU and IEEE Multimedia



Selected Publications

Call for Papers: IJCV Special Issue on Domain Adaptation for Vision Applications

CVPR 2012 Tutorial on Domain Transfer Learning for Vision Applications

Domain Adaptation Datasets and Source Codes in our recent work