Welcome to Changyou Chen's homepage

I am currently a PhD candidate in College of Engineering and Computer Science, the Australian National University. I am also affiliated with the Statistical Machine Learning (SML) group at National ICT Australia (NICTA). My primary supervisor is Prof. Wray Buntine.

I received my bachelor and master degrees in 2007 and 2010,respectively, both from School of Computer Science, Fudan University, Shanghai, China, supervised by Prof. Junping Zhang.

You can find my curriculum vitae here.

Research Interests

I have broad research interest in machine learning, but now focus on Bayesian nonparametrics. Specifically, I am/was working on:

  • Dependent Normalized Random Measures, Dependent Poisson-Kingman Processes
  • Some topics on Diffusion Processes
  • MCMC for Hierarchical Poisson-Dirichlet Processes
  • Topic Models
  • Manifold Learning, Gait Recognition (master research topics)

Publications

  • Changyou Chen, Vinayak Rao, Wray Buntine, YeeWhye Teh
    Dependent Normalized Random Measures
    International Conference on Machine Learning (ICML), Atlanta, USA, 2013.
    [PDF] [supplement] [slides] [poster]

  • Changyou Chen, Wray Buntine, Nan Ding
    Theory of Dependent Hierarchical Normalized Random Measures
    Technical Report arXiv:1205.4159, NICTA and ANU, 2012.
    [PDF] [link]

  • Changyou Chen, Nan Ding, Wray Buntine
    Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling
    International Conference on Machine Learning (ICML), Edinburgh, British, 2012.
    [PDF] [slides] [poster]

  • Changyou Chen, Lan Du, Wray Buntine
    Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process
    European Conference on Machine Learning (ECML-PKDD), Athens, Greece, pp. 296-311, 2011.
    [PDF] [slides] [poster]

  • Lan Du, Wray Buntine, Huidong Jin, Changyou Chen
    Sequential Latent Dirichlet Allocation
    Knowledge and Inforamtion Systems, vol. 31, no. 3, pp. 475-503, 2012.
    [PDF] [link]

  • Changyou Chen, Junping Zhang, Xuefang He, Zhi-Hua Zhou
    Efficient Non-Parametric Kernel Learning with Robust Pairwise Constraints
    International Journal of Machine Learning and Cybernetics, vol. 3, pp. 83-96, 2011.
    [link]

  • Junping Zhang, Jian Pu, Changyou Chen, Rudolf Fleischer
    Low-resolution Gait Recognition
    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 4, pp. 986-996, 2010

  • Changyou Chen, Junping Zhang, Rudolf Fleischer
    Distance Approximating Dimension Reduction of Riemannian Manifolds
    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 40, no. 1, pp. 208-217, 2010

  • Changyou Chen, Junping Zhang, Rudolf Fleischer
    Multiliear Tensor-based Nonparametric Dimension Reduction
    The 3rd IAPR/IEEE International Conference on Biometrics (ICB 2009), LNCS5558, pp. 1037-1046, Springer-Verlag Berlin Heidelberg, 2009

  • Junping Zhang, Yuan Cheng, Changyou Chen
    Low Resolution Gait Recognition with High Frequency Super Resolution
    The Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI 08), LNAI 5351, pp. 533-543, Springer-Verlag Berlin Heidelberg, 2008

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