Dr Chang Xu

Lecturer
School of Information Technologies

J12 - The School of Information Technologies
The University of Sydney

Telephone +61 2 8627 6015

Website School of Information Technologies

Google scholar

Biographical details

Dr Chang Xu is a Lecturer in Machine Learning and Computer Vision at the School of Information Technologies, University of Sydney. He obtained a Bachelor of Engineering from Tianjin University, China, and a Ph.D. degree from Peking University, China. While pursing his PhD degree, Chang received fellowships from IBM and Baidu. His research interests lie in machine learning, data mining algorithms and related applications in artificial intelligence and computer vision, including multi-view learning, multi-label learning, visual search and face recognition. His research outcomes have been widely published in prestigious journals and top tier conferences.

Selected publications

Download citations: PDF RTF Endnote

Journals

  • Li, J., Xu, C., Yang, W., Sun, C., Tao, D. (2017). Discriminative Multi-view Interactive Image Re-ranking [Forthcoming]. IEEE Transactions on Image Processing. [More Information]
  • Qiao, M., Liu, L., Yu, J., Xu, C., Tao, D. (2017). Diversified dictionaries for multi-instance learning. Pattern Recognition, 64, 407-416. [More Information]
  • Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). Parts for the Whole: The DCT Norm for Extreme Visual Recovery (Forthcoming). IEEE Transactions on Image Processing, 23.
  • Xu, C., Liu, T., Tao, D., Xu, C. (2016). Local Rademacher Complexity for Multi-Label Learning. IEEE Transactions on Image Processing, 25(3), 1495-1507. [More Information]
  • Li, J., Xu, C., Gong, M., Xing, J., Yang, W., Sun, C. (2016). SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing, 207, 202-212. [More Information]
  • Xu, C., Tao, D., Li, Y., Xu, C. (2015). Large-margin multi-view Gaussian process. Multimedia Systems, 21, 147-157. [More Information]
  • Ding, C., Xu, C., Tao, D. (2015). Multi-Task Pose-Invariant Face Recognition. IEEE Transactions on Image Processing, 24(3), 980-993. [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Multi-View Intact Space Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), 2531-2544. [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Multi-View Learning with Incomplete Views. IEEE Transactions on Image Processing, 24(12), 5812-5825. [More Information]
  • Xu, C., Tao, D., Li, Y., Xu, C. (2014). Large-margin multi-view Gaussian process. Multimedia Systems, 21(2), 147-157. [More Information]
  • Xu, C., Tao, D., Xu, C. (2014). Large-margin multi-view Information bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1559-1572. [More Information]
  • Luo, Y., Tao, D., Xu, C., Liu, H., Wen, Y. (2013). Multiview vector-valued manifold regularization for multilabel image classification. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 709-722. [More Information]

Conferences

  • Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA.
  • Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2017). Cost-Sensitive Feature Selection by Optimizing F-measures. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA.
  • Wang, Y., Xu, C., Tao, D., Xu, C. (2016). CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. Neural Information Processing Systems 2016 (NIPS 2016) (30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain), Barcelona: Neural Information Processing Systems (NIPS).
  • Xu, C., Tao, D., Xu, C. (2016). Robust extreme multi-label learning. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), New York: Association for Computing Machinery (ACM). [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Large-margin multi-label causal feature learning. 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Palo Alto, California, USA: AAAI Press.
  • Xu, C., Tao, D., Xu, C. (2015). Multi-view self-paced learning for clustering. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires: AAAI Press.
  • Xu, C., Tao, D., Xu, C., Rui, Y. (2014). Large-margin weakly supervised dimensionality reduction. 31st International Conference on Machine Learning (ICML 2014), Beijing: International Machine Learning Society.
  • Xu, C., Tao, D., Li, Y., Xu, C. (2013). Large-margin multi-view Gaussian process for image classification. 5th International Conference on Internet Multimedia Computing and Service (ICIMCS 2013), New York: Association for Computing Machinery (ACM). [More Information]
  • Luo, Y., Tao, D., Xu, C., Li, D., Xu, C. (2013). Vector-valued multi-view semi-supervised learning for multi-label image classification. 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue: AAAI Press.
  • Xu, C., Li, Y., Zhou, C., Xu, C. (2012). Learning to rerank images with enhanced spatial verification. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2017

  • Wang, Y., Xu, C., Xu, C., Tao, D. (2017). Beyond RPCA: Flattening Complex Noise in the Frequency Domain. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA.
  • Liu, M., Xu, C., Luo, Y., Xu, C., Wen, Y., Tao, D. (2017). Cost-Sensitive Feature Selection by Optimizing F-measures. 31st AAAI Conference on Artificial Intelligence (AAAI-17), USA.
  • Li, J., Xu, C., Yang, W., Sun, C., Tao, D. (2017). Discriminative Multi-view Interactive Image Re-ranking [Forthcoming]. IEEE Transactions on Image Processing. [More Information]
  • Qiao, M., Liu, L., Yu, J., Xu, C., Tao, D. (2017). Diversified dictionaries for multi-instance learning. Pattern Recognition, 64, 407-416. [More Information]
  • Wang, Y., Xu, C., You, S., Xu, C., Tao, D. (2017). Parts for the Whole: The DCT Norm for Extreme Visual Recovery (Forthcoming). IEEE Transactions on Image Processing, 23.

2016

  • Wang, Y., Xu, C., Tao, D., Xu, C. (2016). CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. Neural Information Processing Systems 2016 (NIPS 2016) (30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain), Barcelona: Neural Information Processing Systems (NIPS).
  • Xu, C., Liu, T., Tao, D., Xu, C. (2016). Local Rademacher Complexity for Multi-Label Learning. IEEE Transactions on Image Processing, 25(3), 1495-1507. [More Information]
  • Xu, C., Tao, D., Xu, C. (2016). Robust extreme multi-label learning. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), New York: Association for Computing Machinery (ACM). [More Information]
  • Li, J., Xu, C., Gong, M., Xing, J., Yang, W., Sun, C. (2016). SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing, 207, 202-212. [More Information]

2015

  • Xu, C., Tao, D., Xu, C. (2015). Large-margin multi-label causal feature learning. 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Palo Alto, California, USA: AAAI Press.
  • Xu, C., Tao, D., Li, Y., Xu, C. (2015). Large-margin multi-view Gaussian process. Multimedia Systems, 21, 147-157. [More Information]
  • Ding, C., Xu, C., Tao, D. (2015). Multi-Task Pose-Invariant Face Recognition. IEEE Transactions on Image Processing, 24(3), 980-993. [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Multi-View Intact Space Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(12), 2531-2544. [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Multi-View Learning with Incomplete Views. IEEE Transactions on Image Processing, 24(12), 5812-5825. [More Information]
  • Xu, C., Tao, D., Xu, C. (2015). Multi-view self-paced learning for clustering. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires: AAAI Press.

2014

  • Xu, C., Tao, D., Li, Y., Xu, C. (2014). Large-margin multi-view Gaussian process. Multimedia Systems, 21(2), 147-157. [More Information]
  • Xu, C., Tao, D., Xu, C. (2014). Large-margin multi-view Information bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1559-1572. [More Information]
  • Xu, C., Tao, D., Xu, C., Rui, Y. (2014). Large-margin weakly supervised dimensionality reduction. 31st International Conference on Machine Learning (ICML 2014), Beijing: International Machine Learning Society.

2013

  • Xu, C., Tao, D., Li, Y., Xu, C. (2013). Large-margin multi-view Gaussian process for image classification. 5th International Conference on Internet Multimedia Computing and Service (ICIMCS 2013), New York: Association for Computing Machinery (ACM). [More Information]
  • Luo, Y., Tao, D., Xu, C., Liu, H., Wen, Y. (2013). Multiview vector-valued manifold regularization for multilabel image classification. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 709-722. [More Information]
  • Luo, Y., Tao, D., Xu, C., Li, D., Xu, C. (2013). Vector-valued multi-view semi-supervised learning for multi-label image classification. 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue: AAAI Press.

2012

  • Xu, C., Li, Y., Zhou, C., Xu, C. (2012). Learning to rerank images with enhanced spatial verification. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

For support on your academic profile contact .