Accepting PhD Students

PhD projects

Towards Data-Efficient Future Action Prediction in the Wild

20142022

Research output per year

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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

Research area keywords

  • Computer Vision
  • Artificial Intelligence
  • Multimedia for Social Good
  • Video Analysis
  • Medical Image Understanding

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Projects

Research Output

Deep top-k ranking for image-sentence matching

Zhang, L., Luo, M., Liu, J., Chang, X., Yang, Y. & Hauptmann, A. G., Mar 2020, In : IEEE Transactions on Multimedia. 22, 3, p. 775-785 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Multi-view feature selection via Nonnegative Structured Graph Learning

Bai, X., Zhu, L., Liang, C., Li, J., Nie, X. & Chang, X., 14 Jan 2020, (Accepted/In press) In : Neurocomputing. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Pair-based uncertainty and diversity promoting early active learning for Person Re-identification

Liu, W., Chang, X., Chen, L., Phung, D., Zhang, X., Yang, Y. & Hauptmann, A. G., Jan 2020, In : ACM Transactions on Intelligent Systems and Technology. 11, 2, 15 p., 21.

Research output: Contribution to journalArticleResearchpeer-review

Robust optimal graph clustering

Wang, F., Zhu, L., Liang, C., Li, J., Chang, X. & Lu, K., 22 Feb 2020, In : Neurocomputing. 378, p. 153-165 13 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

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

8 Citations (Scopus)

Prizes

ARC Discovery Early Career Researcher Award

Chang, Xiaojun (Recipient), 27 Nov 2018

Prize: Competitive Fellowships

Best Paper Award from ADAM 2019

Li, Zhihui (Recipient), Wenhe Liu (Recipient), Chang, Xiaojun (Recipient), Lina Yao (Recipient), Mahesh Prakash (Recipient) & Huaxiang Zhang (Recipient), Nov 2019

Prize: Prize (including medals and awards)