Mingtao Dong

Undergraduate Research Fellow at UNC Department of Computer Science
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Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles Metropolitan Area

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Credentials

  • Convolutional Neural Networks
    Coursera
    Sep, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2018
    - Nov, 2024
  • Mathematics for Machine Learning: Linear Algebra
    Coursera
    Sep, 2018
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Sep, 2018
    - Nov, 2024

Experience

  • UNC Department of Computer Science
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Research Fellow
      • Jun 2022 - Present

      Working on proverb related research in NLP. Working on proverb related research in NLP.

  • USC Viterbi School of Engineering
    • United States
    • Higher Education
    • 700 & Above Employee
      • Dec 2021 - Present

      Working on entity typing with late-binding on PLM to boost inference speed.Working in USC ISI as assistant on the spurious correlation research in NLP .

      • Dec 2020 - Jun 2022

      Participating in burn image project; Implementing, training and tuning CNNs to achieve burn level classification; Implementing TCAV algorithm for ML interpretability study

  • USC Center for AI in Society's Student Branch (CAIS++)
    • United States
    • Software Development
    • 1 - 100 Employee
    • Member of ML Fairness Team
      • Sep 2020 - Jun 2022

  • Beijing University of Posts and Telecommunications
    • Higher Education
    • 1 - 100 Employee
    • Computer Vision Engineer
      • Sep 2018 - Jan 2019

      -Conducted research in Human Activity Recognition and Synthetic Aperture Radar -Collected and created training datasets for convolutional neural networks -Improved upon previous methods and incorporated hand crafted features into training data -Carriedonparallelexperimentstocomparetheperformanceofdifferentnetworkarchitectures -Published two papers on conferences ICSINC and IEEE ICCEM with EI index -Conducted research in Human Activity Recognition and Synthetic Aperture Radar -Collected and created training datasets for convolutional neural networks -Improved upon previous methods and incorporated hand crafted features into training data -Carriedonparallelexperimentstocomparetheperformanceofdifferentnetworkarchitectures -Published two papers on conferences ICSINC and IEEE ICCEM with EI index

  • Scientific American
    • United States
    • Book and Periodical Publishing
    • 1 - 100 Employee
    • Translator
      • Aug 2018 - Jan 2019

      -Translated articles regarding issues between AI and gender and environmental conservation -Published articles in China Science and Technology Museum -Self-conducted research regarding AI’s social and environmental perspectives to help output better translation -Translated articles regarding issues between AI and gender and environmental conservation -Published articles in China Science and Technology Museum -Self-conducted research regarding AI’s social and environmental perspectives to help output better translation

  • 神州泰岳软件股份有限公司
    • China
    • Software Development
    • 1 - 100 Employee
    • Frontend Developer
      • Jul 2017 - Sep 2017

      -Developed natural language translation application with deep learning techniques and improved the algorithms; applied the algorithm in Java -Participated in the website development process in the website designers’ team in the company for commercial purposes -Developed natural language translation application with deep learning techniques and improved the algorithms; applied the algorithm in Java -Participated in the website development process in the website designers’ team in the company for commercial purposes

Education

  • 美国南加州大学
    Bachelor of Science - BS, Computer Science; Applied and Computational Mathematics
    2019 - 2023
  • The Second High School Attached to Beijing Normal University
    High School

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