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Shimei’s Research

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Current research interests:

  • Large-scale social media-based human behavior modeling.  Applying social media analytics and machine learning to user-generated data to gain deep insight into human behavior and decision making. Specially, I am interested in
    • building computational models of individual traits (e.g., personality, needs, values, emotions, interests) and behavior (e.g., brand preferences, purchase decisions and substance use)
    • building computational tools to improve the well-being of individual and community (e.g., preventing substance abuse).
  • Human Centered Machine Learning.   Specifically, I am interested in
    • the explainability of algorithmic decisions
    • the bias in data and machine learning algorithms
    • the usability of machine learning algorithms (e.g., improving the stability of statistical topic models).
    • human-computer collaboration and learning
  • Intelligent Interactive systems which include
    • adaptive conversation agents
    • multimedia/multimodal conversation systems
    • interactive text visualization to seamlessly integrate text mining with information visualization