Chang Xu is Senior Lecturer and ARC DECRA Fellow at the School of Computer Science, University of Sydney. He received the Ph.D. degree from Peking University, China. His research interests lie in machine learning algorithms and related applications in computer vision. He has published over 100 papers in prestigious journals and top tier conferences, including IEEE T-PAMI, IEEE T-NNLS, IEEE T-IP, ICML, NIPS, IJCAI and AAAI. He has received several paper awards, including Distinguished Paper Award in IJCAI 2018. He regularly severed as the (senior) PC member for many conferences, e.g. NIPS, ICML, CVPR, ICCV, IJCAI and AAAI. He has been recognized as Top Ten Distinguished Senior PC Member in IJCAI 2017.
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Address: J12/1 Cleveland St, Darlington NSW 2008, Australia.
Email: c.xu!AT!; changxu1989!AT!;

There are currently PhD openings with scholarships. Interested candidates are encouraged to get in touch with me via email at their earliest convenience. I would be grateful, if you could distribute the announcement to potential candidates.

image Warmly welcome (RA/M.S/PhD) students to work with me in machine learning related researches, and I will do my best to help them to improve in all respects.

Recent Work Highlights:




  1. S Yang, Z Feng, P Du, B Du, C Xu: Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries.
  2. X Wang, J Huang, P Du, C Xu: DeepFake Disrupter: The Detector of DeepFake Is My Friend.
  3. M Zheng, S You, F Wang, C Qian, C Zhang, X Wang, C Xu: Contrastive Learning with Diverse Samples.
  4. D Guo, C Xu, D Tao: Graph Reasoning Networks for Visual Question Answering.
  5. C Xu, D Tao, C Xu: A survey on multi-view learning.


Professional Services:

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