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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 to user-generated data to gain insight into human behavior and decision making process. Specially, I am interested in
    • building computational models of human traits (e.g., personality, needs, values, emotions, interests) and behavior (e.g., brand preferences, team collaboration  and substance use)
    • building computational tools to improve the well-being of individuals and communities (e.g., prevent substance abuse).
  • Natural Language Processing (NLP)
    • incorporating additional knowledge from diverse resources (e.g., knowledge graph, ontology and lexicon) to enhance NLP in low resource domains.
  • Human-centered AI/Machine Learning (ML) and societal Impact.
    • fair AI and ML systems.
    • human-AI interaction
    • explainable AI (XAI)
    • the usability of AI/ML algorithms.
    • human-computer collaborative learning
  • Intelligent Interactive systems  
    • adaptive dialogue agents
    • multimedia/multimodal dialogue systems
    • interactive text visualization