Xiaojun Chang

Dr Xiaojun Chang is a faculty member at Faculty of Information Technology, Monash University Clayton Campus, Australia. He is also affiliated with Monash University Centre for Data Science. He is ARC Discovery Early Career Researcher Award (DECRA) Fellow between 2019-2021 (awarded in 2018). 

Before joining Monash, Dr Chang was a Postdoc Research Associate in School of Computer Science, Carnegie Mellon University, working with Prof. Alex Hauptmann. He has spent most of his time working on exploring multiple signals (visual, acoustic, textual) for automatic content analysis in unconstrained or surveillance videos. Dr Chang's system has achieved top performance in various international competitions, such as TRECVID MED, TRECVID SIN, and TRECVID AVS. He received my Ph.D. degree in Centre for Artificial Intelligence & Faculty of Engineering and Information Technology, University of Technology Sydney.

More information can be found at here.

His general research interest is to develop structured machine learning models for computer vision and multimedia tasks. He mainly investigates how to explore the information contained in videos and develop the advanced artificial intelligence systems. Recently, he focuses on the following topics, include:

• Video Analysis, including event detection, object detection, segmentation.

• Learning with Limited Supervision, including few-shot learning, zero-shot learning.

• Medical image understanding.

• Deputy Course Director of MDS
• Area chair for ICPR 2018, ACM MM 2019
• I am a Programm Committee member of CVPR 2017-2019, ICML 2017-2019, NIPS 2016-2018, IJCAI 2017-2018, AAAI 2017-2019.
• Reviewer for TPAMI, IJCV, TKDE, TMM, TIP, TNNLS, TCSVT, and so on
• Reviewer for CVPR, ECCV, ACM MM, AAAI, NIPS, IJCAI, and so on