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  • University of Michigan
  • Ann Arbor, MI
  • 11:54 (UTC -05:00)

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Xiaoyang-Song/README.md

Hi there 👋, I’m Xiaoyang Song. I am currently an Industrial and Operations Engineering Ph.D. student at University of Michigan, Department of Industrial and Operations Engineering. Before, I received my M.S. degree in Data Science from Columbia University and my B.S. degree with double majors in Mathematics and Computer Science from University of Michigan. During my previous studies, I received rigorous training in computer science, mathematics, and statistics, and was fortunate to work with many distinguished research faculties from the University of Michigan on Natural Language Processing (NLP), Computer Vision (CV), and Distributed Learning.

As a passionate researcher, my goal is to explore the cutting‐edge theories and methodologies in the fields of Machine Learning (ML), Reinforcement Learning (RL), and mathematics and apply them to Computer Vision (CV), Natural Language Processing (NLP), Transportation, Biology, Manufacturing, and other related fields in the industry. I am also deeply interested in Federated/Distributed Learning and Out‐of‐Distribution Learning, where we made ML models more applicable by protecting the privacy of ML target users and increasing the robustness of ML models, respectively. In general, I am dedicated to deploying Machine Learning techniques into real-world applications in a robust and interpretable manner, hopefully with theoretical guarantees.

My CV can be found here. (Last Update: 12/2022)

If you are interested in contacting me, I can always be reached by email at [email protected].

   

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  1. Robust-SimCLR-via-Adversarial-Meta-Learning Robust-SimCLR-via-Adversarial-Meta-Learning Public

    Adversarial Meta Learning on Contrastive Learning model SimCLR. Aiming to robustify original SimCLR with data augmentation and adversarial training.

    Python 4

  2. DSI-Capstone-LLM-Personality/LLM-Personality-Codebase DSI-Capstone-LLM-Personality/LLM-Personality-Codebase Public

    Language Model Personality Codebase

    Python 4 3

  3. Federated-Unsupervised-Learning-Research Federated-Unsupervised-Learning-Research Public

    Federated unsupervised learning research on Mutlidimension Item Response Theory (MIRT) model. Xiaoyang's Research working with Prof. Ziwei Zhu and Prof. Yuqi Gu.

    R 2

  4. RStudio-Theme-Customization RStudio-Theme-Customization Public

    Xiaoyang's tutorial for RStudio editor theme customization: 1) using existing themes from Github 2) customizing your own by editing .rstheme file

    CSS 14 1