Publications

* Equal contribution with alphabetical order

Dissertation

• Small area quantile estimation under unit-level models
  Master's Thesis, University of British Columbia, Vancouver (2017)
  UBC library  BibTeX

  @masterthesis{zhang2017small,
  title={Small area quantile estimation under unit-level models},
  author={Zhang, Qiong},
  year={2017},
  school={University of British Columbia}
}

• Inference under finite mixture models: distributed learning and approximate inference
  Doctoral Thesis, University of British Columbia, Vancouver (2022)
  UBC library  BibTeX

  @phdthesis{zhang2022inference,
  title={Inference under Finite Mixture Models : Distributed Learning and Approximate Inference},
  author={Zhang, Qiong},
  year={2022},
  school={University of British Columbia},
  type= {{PhD} dissertation},
}

Published

• Gaussian mixture reduction with composite transportation divergence
  Qiong Zhang, Archer Gong Zhang, Jiahua Chen
  IEEE Transactions on Information Theory, 2023
  journal  arXiv  code  slides 

• Distributed learning of finite Gaussian mixtures
  Qiong Zhang, Jiahua Chen
  Journal of Machine Learning Research, 2022
  journal  arXiv  code  talk  slides  poster  BibTeX

  @phdthesis{zhang2022distributed,
  title={Distributed Learning of Finite Gaussian Mixtures},
  author={Zhang, Qiong and Chen, Jiahua},
  journal = {Journal of Machine Learning Research},
  year={2022},
  volume={23},
  number= {1},
  page= {4265--4304},
  url= {http://jmlr.org/papers/v23/21-0093.html},
  publisher={JMLRORG}
}

• Minimum Wasserstein distance estimator under finite location-scale mixtures
  Qiong Zhang, Jiahua Chen
  Springer. Advances and Innovations in Statistics and Data Science, 2022
  chapter  arXiv  BibTeX

  @incollection{zhang2022minimum,
  title={Minimum Wasserstein distance estimator under finite location-scale mixtures},
  author={Zhang, Qiong and Chen, Jiahua},
  booktitle={Advances and Innovations in Statistics and Data Science},
  pages={69--98},
  year={2022},
  publisher={Springer}}

• Robustness of Gaussian mixture reduction for split-and-conquer learning of finite Gaussian mixtures
  Qiong Zhang, Jiahua Chen
  3rd International Conference on Statistics: Theory and Applications (ICSTA), 2021
  proceedings  talk  BibTeX

  @inproceedings{zhang2021robustness,
  title={Robustness of Gaussian Mixture Reduction for Split-and-Conquer Learning of Finite Gaussian Mixtures},
  author={Zhang, Qiong and Chen, Jiahua},
  booktitle={Proceedings of the 3rd International Conference on Statistics: Theory and Applications (ICSTA'21)},
  year={2021} }

• Boosting the generalization capability in cross-domain few-shot learning via noise-enhanced supervised autoencoder
  Hanwen Liang*, Qiong Zhang*, Peng Dai, Juwei Lu
  International Conference on Computer Vision (ICCV), 2021
  proceedings  arXiv  poster  BibTeX

  @inproceedings{liang2021boosting,
  title={Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder},
  author={Liang, Hanwen and Zhang, Qiong and Dai, Peng and Lu, Juwei},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={9424--9434},
  year={2021}}

• Classification beats regression: counting of cells from greyscale microscopic images based on annotation-free training samples
  Xin Ding*, Qiong Zhang*, William J. Welch
  CAAI International Conference on Artificial Intelligence (CICAI), 2021
  proceedings  arXiv  code  poster  BibTeX

  @inproceedings{ding2021classification,
  title={Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images Based on Annotation-Free Training Samples},
  author={Ding, Xin and Zhang, Qiong and Welch, William J},
  booktitle={CAAI International Conference on Artificial Intelligence},
  pages={662--673},
  year={2021},
  organization={Springer} }

• Small area quantile estimation via spline regression and empirical likelihood
  Zhanshou Chen, Jiahua Chen, Qiong Zhang
  Survey Methodology, 2019
  journal  BibTeX

  @article{chen2019small,
  title={Small area quantile estimation via spline regression and empirical likelihood},
  author={Chen, Zhanshou and Chen, Jiahua and Zhang, Qiong},
  journal={Survey Methodology 45-1},
  volume={45},
  number={1},
  pages={81--99},
  year={2019}}

• Highlighting discrepancies in walking prediction accuracy for patients with traumatic spinal cord injury: an evaluation of validated prediction models using a Canadian multicenter spinal cord injury registry
  Philippe Phan, Brandon Budhram, Qiong Zhang, Carly S. Rivers, Vanessa K. Noonan, Tova Plashkes, Eugene K. Wai, Jérôme Paquet, Darren M. Roffey, Eve Tsai, Nader Fallah
  The Spine Journal, 2019
  journal  BibTeX

  @article{phan2019highlighting,
  title={Highlighting discrepancies in walking prediction accuracy for patients with traumatic spinal cord injury: an evaluation of validated prediction models using a {C}anadian multicenter spinal cord injury registry},
  author={Phan, Philippe and Budhram, Brandon and Zhang, Qiong and Rivers, Carly S and Noonan, Vanessa K and Plashkes, Tova and Wai, Eugene K and Paquet, J{\'e}r{\^o}me and Roffey, Darren M and Tsai, Eve and others},
  journal={The Spine Journal},
  volume={19},
  number={4},
  pages={703--710},
  year={2019},
  publisher={Elsevier}}

• Generating handwritten Chinese characters using CycleGAN
  Bo Chang*, Qiong Zhang*, Shenyi Pan, Lili Meng
  Winter Conference on Applications of Computer Vision (WACV), 2018
  proceedings  arXiv  code  talk  BibTeX

  @inproceedings{chang2018generating,
  title={Generating handwritten chinese characters using cyclegan},
  author={Chang, Bo and Zhang, Qiong and Pan, Shenyi and Meng, Lili},
  booktitle={2018 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={199--207},
  year={2018},
  organization={IEEE}}