Guo, F., Eschman, B., Ho, B, & Filetti, M. (2025). Deciphering Social Desirability: Integrating Machine Learning and Eye-Tracking. Poster to present at the 40th Annual Conference of the Society for Industrial and Organizational Psychology, Denver.

Guo, F., Min, H., & Black, K. (2025). Layoff Stigma in the Modern Workforce: Perceptions and Implications. Poster to present at the 40th Annual Conference of the Society for Industrial and Organizational Psychology, Denver.

Wang, P., Zou, H., Yan, Z., Guo, F., Sun, T., Xiao, Z., & Zhang, B. (2025). Not yet: Large language models cannot replace human respondents for psychometric research. Symposium to present at the 40th Annual Conference of the Society for Industrial and Organizational Psychology, Denver.

Guo, F., Liu, M., Sun, T., & Min, H. (2025). Building interpretable natural language processing models for organizational research. Symposium to present at the 40th Annual Conference of the Society for Industrial and Organizational Psychology, Denver.

Guo, F., Sun, T., Liu, M., & Min, H. (2024). Harnessing large language models for situational judgment test item generation. Symposium presented at the 39th Annual Conference of the Society for Industrial and Organizational Psychology, Chicago.

Guo, F. (2024). In K. Courey (Chair), It’s Time to Update Your Prior Beliefs: Bayesian Benefits for Organizational Analysis. Symposium presented at the 39th Annual Conference of the Society for Industrial and Organizational Psychology, Chicago.

Yuan, Y., Guo, F., & Shi, J. (2024) Creating a socially aware efficient, transparent, and equitable 311 system for smart cities. UTC Spring Research and Arts Conference. University of Tennessee at Chattanooga.

Smith, B., Hulsing, M., Happe, J., Guo, F., & Eschman, B. (2024) Examining the impact of item desirability on personality test responding: Insights from an eye-tracking approach. UTC Spring Research and Arts Conference. University of Tennessee at Chattanooga.

Min, H., Guo, F., Sun, T., & Liu, M., (2023). Motivations and challenges of gig workers during the pandemic. In H. Min (Chair) & D. Putka (Discussant), Applying Deep Learning Techniques to Answer Organizational Questions. Symposium presented at the 38th Annual Conference of the Society for Industrial and Organizational Psychology, Boston, MA.