Projects per year
Personal profile
Biography
Dr Xiaojun Chang is a Senior Lecturer 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.
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.
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Learning with Limited Supervision, including few-shot learning, zero-shot learning.
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Medical image understanding.
Community service
- Deputy Course Director of MDS
- Area chair for ICPR 2018, ACM MM 2019, ACM MM 2020
- I am a Programm Committee member of CVPR 2017-2020, ICML 2017-2020, NIPS 2016-2020, IJCAI 2017-2020, AAAI 2017-2020.
- 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
Network
Projects
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Intelligent process control based on large-scale data mining and deep reinforcement learning
1/07/20 → 30/06/23
Project: Research
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Reasoning under Uncertainty with Natural Language (2)
Li, Y., Haffari, R., Chang, X., Wang, T. & Pan, S.
1/06/20 → 30/06/22
Project: Research
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Micro-Video Understanding with Noisy Labels
Shandong Yilaite AI Technology Co., Ltd
15/09/19 → 14/09/22
Project: Research
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Identification of Point of Sale Insights by Mining Social Media
Li, M., Chang, X., Du, L., Hammer, S. & Pearson, R.
1/07/19 → 30/06/22
Project: Research
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Research output
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Argus: Efficient Activity Detection System for Extended Video Analysis
Liu, W., Kang, G., Huang, P. Y., Chang, X., Yu, L., Qian, Y., Liang, J., Gui, L., Wen, J., Chen, P. & Hauptmann, A. G., 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW). Hua, G., Liu, M-Y., Patel, V., Scheirer, W. & Farrell, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 126-133 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
3 Citations (Scopus) -
A semisupervised recurrent convolutional attention model for human activity recognition
Chen, K., Yao, L., Zhang, D., Wang, X., Chang, X. & Nie, F., May 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 5, p. 1747-1756 10 p.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus) -
Block-wisely supervised Neural Architecture Search with knowledge distillation
Li, C., Peng, J., Yuan, L., Wang, G., Liang, X., Lin, L. & Chang, X., 2020, Proceedings - 33th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020. Liu, C., Mori, G., Saenko, K. & Savarese, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1986-1995 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Connecting the dots: multivariate time series forecasting with graph neural networks
Wu, Z., Pan, S., Long, G., Jiang, J., Chang, X. & Zhang, C., Aug 2020, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Tang, J. & Aditya Prakash, B. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 753–763 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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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 journal › Article › Research › peer-review
1 Citation (Scopus)
Prizes
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ARC Discovery Early Career Researcher Award
Chang, Xiaojun (Recipient), 27 Nov 2018
Prize: Competitive Fellowships
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Best Paper Award from ADAM 2019
Zhihui Li (Recipient), Wenhe Liu (Recipient), Chang, Xiaojun (Recipient), Lina Yao (Recipient), Mahesh Prakash (Recipient) & Huaxiang Zhang (Recipient), Nov 2019
Prize: Prize (including medals and awards)
Press / Media
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Researchers use artificial intelligence to offer an instant COVID-19 test
19/06/20
4 Media contributions
Press/Media: Article/Feature