Bo Chang



I'm a Ph.D. candidate in the Department of Statistics, University of British Columbia. My advisor is Professor Harry Joe.

Email:

Education

Employment

Preprints

  • Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs
    Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington
    Preprint, 2019.
    [arXiv] [BibTeX]

    @article{gilboa2019dynamical,
      title={Dynamical isometry and a mean field theory of {LSTM}s and {GRU}s},
      author={Gilboa, Dar and Chang, Bo and Chen, Minmin and Yang, Greg and Schoenholz, Samuel S and Chi, Ed H and Pennington, Jeffrey},
      journal={arXiv preprint arXiv:1901.08987},
      year={2019}
    }

  • Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
    Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal
    Preprint, 2018.
    [arXiv] [BibTeX]

    @article{meng2018where,
      title={Where and when to look? spatio-temporal attention for action recognition in videos},
      author={Meng, Lili and Zhao, Bo and Chang, Bo and Huang, Gao and Tung, Frederick and Sigal, Leonid},
      journal={arXiv preprint arXiv:1810.04511},
      year={2018}
    }

  • Convolutional Neural Networks Combined with Runge–Kutta Methods
    Mai Zhu, Bo Chang, Chong Fu
    Preprint, 2018.
    [arXiv] [BibTeX]

    @article{zhu2018convolutional,
      title={Convolutional neural networks combined with {R}unge-{K}utta methods},
      author={Zhu, Mai and Chang, Bo and Fu, Chong},
      journal={arXiv preprint arXiv:1802.08831},
      year={2018}
    }

Peer-Reviewed Articles

  • Vine Copula Regression for Observational Studies
    Roger M. Cooke, Harry Joe, Bo Chang
    AStA Advances in Statistical Analysis, to appear.
    [Journal] [BibTeX]

    @article{cooke2019vine,
      title={Vine copula regression for observational studies},
      author={Cooke, Roger M and Joe, Harry and Chang, Bo},
      journal={AStA Advances in Statistical Analysis},
      year={2019}.
    }

  • Prediction Based on Conditional Distributions of Vine Copulas
    Bo Chang, Harry Joe
    Computational Statistics & Data Analysis 139: 45–63, 2019.
    [arXiv] [Journal] [BibTeX]

    @article{chang2019prediction,
      title={Prediction based on conditional distributions of vine copulas},
      author={Chang, Bo and Joe, Harry},
      journal={Computational Statistics \& Data Analysis},
      volume={139},
      pages={45--63},
      year={2019},
      publisher={Elsevier}
    }

  • AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks
    Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
    International Conference on Learning Representations (ICLR), 2019.
    [arXiv] [OpenReview] [BibTeX]

    @inproceedings{chang2019antisymmetric,
      title={Antisymmetric{RNN}: a dynamical system view on recurrent neural networks},
      author={Chang, Bo and Chen, Minmin and Haber, Eldad and Chi, Ed H},
      booktitle={International Conference on Learning Representations},
      year={2019},
      url={https://openreview.net/forum?id=ryxepo0cFX}
    }

  • Vine Copula Structure Learning via Monte Carlo Tree Search
    Bo Chang, Shenyi Pan, Harry Joe
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.
    [Proceedings] [GitHub] [BibTeX]

    @inproceedings{chang2019vine,
      title={Vine copula structure learning via {M}onte {C}arlo tree search},
      author={Chang, Bo and Pan, Shenyi and Joe, Harry},
      booktitle={International Conference on Artificial Intelligence and Statistics},
      year={2019}
    }

  • Modular Generative Adversarial Networks
    Bo Zhao, Bo Chang, Zequn Jie, Leonid Sigal
    European Conference on Computer Vision (ECCV), 2018.
    [arXiv] [Proceedings] [Media Coverage (in Chinese)] [BibTeX]

    @inproceedings{zhao2018modular,
      title={Modular generative adversarial networks},
      author={Zhao, Bo and Chang, Bo and Jie, Zequn and Sigal, Leonid},
      booktitle={European Conference on Computer Vision},
      pages={150--165},
      year={2018}
    }

  • Multi-level Residual Networks from Dynamical Systems View
    Bo Chang*, Lili Meng*, Eldad Haber, Frederick Tung, David Begert
    International Conference on Learning Representations (ICLR), 2018.
    [arXiv] [OpenReview] [BibTeX]

    @inproceedings{chang2018multilevel,
      title={Multi-level residual networks from dynamical systems view},
      author={Chang, Bo and Meng, Lili and Haber, Eldad and Tung, Frederick and Begert, David},
      booktitle={International Conference on Learning Representations},
      year={2018},
      url={https://openreview.net/forum?id=SyJS-OgR-}
    }

  • Generating Handwritten Chinese Characters Using CycleGAN
    Bo Chang*, Qiong Zhang*, Shenyi Pan, Lili Meng
    IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
    [arXiv] [Proceedings] [GitHub] [BibTeX]

    @inproceedings{chang2018generating,
      title={Generating handwritten {C}hinese characters using {C}ycle{GAN}},
      author={Chang, Bo and Zhang, Qiong and Pan, Shenyi and Meng, Lili},
      booktitle={IEEE Winter Conference on Applications of Computer Vision},
      pages={199--207},
      year={2018}
    }

  • Reversible Architectures for Arbitrarily Deep Residual Neural Networks
    Bo Chang*, Lili Meng*, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham
    AAAI Conference on Artificial Intelligence (AAAI), 2018.
    [arXiv] [Proceedings] [BibTeX]

    @inproceedings{chang2018reversible,
      title={Reversible architectures for arbitrarily deep residual neural networks},
      author={Chang, Bo and Meng, Lili and Haber, Eldad and Ruthotto, Lars and Begert, David and Holtham, Elliot},
      booktitle={AAAI Conference on Artificial Intelligence},
      year={2018}
    }

Dissertation

  • Vine Copulas: Dependence Structure Learning, Diagnostics, and Applications to Regression Analysis
    Bo Chang
    University of British Columbia, 2019.
    [UBC Library] [BibTeX]

    @phdthesis{chang2019vinecopulas,
      series={Electronic Theses and Dissertations (ETDs) 2008+},
      title={Vine copulas: dependence structure learning, diagnostics, and applications to regression analysis},
      url={https://open.library.ubc.ca/collections/ubctheses/24/items/1.0379699},
      DOI={http://dx.doi.org/10.14288/1.0379699},
      school={University of British Columbia},
      author={Chang, Bo},
      year={2019},
      collection={Electronic Theses and Dissertations (ETDs) 2008+}
    }

Technical Reports

  • Vine Regression
    Roger M. Cooke, Harry Joe, Bo Chang
    Resources for the Future Discussion Paper, 15-52.
    [SSRN] [BibTeX]

    @article{cooke2015vine,
      title={Vine regression},
      author={Cooke, Roger M and Joe, Harry and Chang, Bo},
      journal={Resources for the Future Discussion Paper},
      volume={15-52},
      year={2015}
    }

* Equal Contribution

ORCID iD iconorcid.org/0000-0001-7429-7212