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Chang Xu is ARC Future Fellow and Associate Professor at the School of Computer Science, University of Sydney. He received the University of Sydney Vice-Chancellor’s Award for Outstanding Early Career Research. 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. He has received several paper awards, including Distinguished Paper Award in AAAI 2023, Best Student Paper Award in ICDM 2022, Best Paper Candidate in CVPR 2021, and Distinguished Paper Award in IJCAI 2018. He served as an area chair of NeurIPS, ICML, ICLR, KDD, CVPR, and MM, as well as a Senior PC member of AAAI and IJCAI. In addition, he served as an associate editor at IEEE T-PAMI, IEEE T-MM, and T-MLR. He has been named a Top Ten Distinguished Senior PC Member in IJCAI 2017 and an Outstanding Associate Editor at IEEE T-MM in 2022.
[University Homepage]   [Google Scholar]
Address: J12/1 Cleveland St, Darlington NSW 2008, Australia.
Email: c.xu!AT!sydney.edu.au; dr.changxu!AT!gmail.com;

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:

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Publications Categorised by Year, by Topic, or by Venue.

Preprints:

  1. J Zhang, D Liu, E Park, S Zhang, C Xu: Residual Learning in Diffusion Models
  2. C Chen, D Liu, C Xu: Towards Memorization-Free Diffusion Models
  3. T Huang, J Liu, S You, C Xu: Active Generation for Image Classification
  4. Y Wang, L Tao, B Du, C Xu: Visual Imitation Learning with Calibrated Contrastive Representation
  5. C Xu, D Tao, C Xu: A survey on multi-view learning.

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