20142022
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Personal profile

Biography

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. 

Dr. Chang received his Ph.D. degree in Centre for Artificial Intelligence & Faculty of Engineering and Information Technology, University of Technology Sydney, under the supervision of Prof. Yi Yang. During his PhD study, he was sequentially mentored by Prof. Feiping Nie and Yaoliang Yu. His research focus in this period was mainly on developing machine learning algorithms and apply them to multimedia analysis and computer vision.

More information about Dr Chang can be found at here.

Monash Machine Vision Group (MMVG)

Research interests

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.

Community service

  • 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

Keywords

  • Computer Vision
  • Artificial Intelligence
  • Multimedia
  • Video Analysis
  • Medical Image Understanding

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2022

Research Output 2014 2019

Adaptive Semi-supervised Feature Selection for cross-modal retrieval

Yu, E., Sun, J., Li, J., Chang, X., Han, X-H. & Hauptmann, A. G., May 2019, In : IEEE Transactions on Multimedia. 21, 5, p. 1276-1288 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Adaptive structure discovery for multimedia analysis using multiple features

Zhan, K., Chang, X., Guan, J., Chen, L., Ma, Z. & Yang, Y., May 2019, In : IEEE Transactions on Cybernetics. 49, 5, p. 1826-1834 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Ensemble teaching for hybrid label propagation

Gong, C., Tao, D., Chang, X. & Yang, J., Feb 2019, In : IEEE Transactions on Cybernetics. p. 388-402 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Multi-stage cascaded deconvolution for depth map and surface normal prediction from single image

Padhy, R. P., Chang, X., Choudhury, S. K., Sa, P. K. & Bakshi, S., 2019, (Accepted/In press) In : Pattern Recognition Letters. 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Zero-shot event detection via event-adaptive concept relevance mining

Li, Z., Yao, L., Chang, X., Zhan, K., Sun, J. & Zhang, H., Apr 2019, In : Pattern Recognition. 88, p. 595-603 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Prizes

ARC Discovery Early Career Researcher Award

Xiaojun Chang (Recipient), 27 Nov 2018

Prize: Competitive Fellowships