BIOGRAPHY

I am a PhD student at UC San Diego department of Computer Science and Engineering, advised by Prof. Rose Yu and Prof. Yian Ma. I received my Bachelor degree of science in Applied Math, Physics, and Computer Sciences from the University of Wisconsin-Madison in 2020. My research interests are in Bayesian Inference and Spatiotemporal Forecasting.

Publications

  • DeepViFi: detecting oncoviral infections in cancer genomes using transformers
  • Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, Vineet Bafna.
    Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
  • Multi-fidelity Hierarchical Neural Processes
  • Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022
  • Quantifying Uncertainty in Deep Spatiotemporal Forecasting
  • Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021
  • Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
  • Estee Cramer, [et al, including Dongxia Wu]
    Proceedings of the National Academy of Sciences, 2022, 119.15: e2113561119.
  • Accelerating Stochastic Simulation with Spatiotemporal Neural Processes
  • Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu.
    Under review
  • DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting
  • Dongxia Wu, Liyao Gao, Xinyue Xiong, Matteo Chinazzi, Alessandro Vespignani, Yian Ma, Rose Yu.
    Under review
  • A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations
  • Mingren Shen, Guanzhao Li, Dongxia Wu, et al.
    Computational Materials Science, 2021, 197: 110560.
  • Multi defect detection and analysis of electron microscopy images with deep learning
  • Mingren Shen, Guanzhao Li, Dongxia Wu, et al.
    Computational Materials Science, 2021, 197: 110560.

    Experiences

    Research Assistant

    2020 - Present
    UC San Diego, La Jolla, CA
    • Spearheaded the uncertainty quantification study for spatiotemporal forecasting, compared Bayesian and Frequentist methods on traffic and COVID-19 predictions.

    Awards/Honors

    HDSI Ph.D. Fellowship (2021-2024), top 10 in admitted HDSI Ph.D. students - UC San Diego (2021)
    College of Letters & Science Dean’s List - UW–Madison (2018, 2019)
    Undergraduate Summer Scholarship - UW-Madison (2018)
    The First Prize in China Region and the Fourth Prize in the final - The Third Hong Kong International Chamber Music Competition (2016)

    Skills & Proficiency

    Python & Pytorch

    Tensor Flow & Keras & Matlab & LaTeX

    Java & Mathematica

    C & C++ & C#