LINGBO TONG

You can find my full CV here.

Statistical and Machine Learning Methods

My first research line focuses on developing statistical and explainable machine learning methods for analyzing complex psychological data.

  • Tong, L.. (in prep). NeuralSEM: Nonlinear Structural Equation Modeling with Text Data. Dissertation.
  • Tong, L., & Zhang, Z. (preprint). TextSEM: Integrating text data into structural equation modeling. [R package]
  • Tong, L., & Zhang, Z. (R&R). Neural Network Analysis of Psychological Data: A Step-by-Step Guide. Submitted to Multivariate Behavioral Research. [preprint]
  • Lu, Y., Tong, L., & Cheng, Y. (2024). Advanced Knowledge Tracing for Intelligent Tutoring Systems: Incorporating Process Data and Curricula Information via an Attention-Based Framework for Accuracy and Interpretability. Journal of Educational Data Mining. [paper]
  • Tong, L., Qu, W., & Zhang, Z. (2024). Comparison of the K1 Rule, Parallel Analysis, and the Bass-Ackward Method on Identifying the Number of Factors in Factor Analysis. Fudan Journal of the Humanities and Social Sciences. [paper]

Empathetic AI for Mental Health Support

My second research line leverages AI-driven techniques to enhance online mental health support, potentially reaching individuals who might otherwise lack access to timely assistance.

  • Tong, L., Turpin M., Crockett N., Zhang Z., & Jiang M. (in prep). Leveraging Large Language Models for Suicide Intervention in Online Crisis Counseling.
  • Tong, L., Liu, Q., Yu, W., Yu, M., Zhang, Z., & Jiang, M. (2023). MHKG: Improving mental health support response generation with event-based knowledge graph. KnowledgeNLP Workshop at AAAI. [paper]

Text Mining on Social Bias and Sentiment

My third research line employs quantitative and computational methods to explore gender bias, particularly focusing on women’s experiences across digital platforms and their implications in broader social, cultural, and educational spheres.

  • Wan R.*, Tong, L.*, Knearem T., Li T., Huang K., & Wu Q. (2024). Hashtag Re-appropriation For Audience Control on Recommendation-driven Social Media Xiaohongshu. Honorable Mention for Best Paper (Top 5%) at CHI. [paper]
  • Wan, R., & Tong, L. (2023). Digital and historical exclusivity in feminine linguistics: from Nüshu to Xiaohongshu. WiNLP Workshop at EMNLP. [paper]
  • Zhang, J., Chen, H., & Tong, L. (2022). Structured Gender Bias: How is gender cognition changed and affected by digital communities in China? IAMCR Annual Conferences.