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Creators/Authors contains: "Zhao, Jinhao"

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  1. ; ; ; ; ; ; (, 37th Euromicro Conference on Real-Time Systems (ECRTS))
    Free, publicly-accessible full text available July 8, 2026
  2. ; ; ; (, IEEE)
    Free, publicly-accessible full text available December 10, 2025
  3. ; ; ; (, ACM)
    Full Text Available 
  4. ; ; ; ; ; (, Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel (PPoPP))
    Full Text Available 
  5. ; ; ; ; ; ; ; (, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems)
    We conduct a study of hiring bias on a simulation platform where we ask Amazon MTurk participants to make hiring decisions for a mathematically intensive task. Our findings suggest hiring biases against Black workers and less attractive workers, and preferences towards Asian workers, female workers and more attractive workers. We also show that certain UI designs, including provision of candidates' information at the individual level and reducing the number of choices, can significantly reduce discrimination. However, provision of candidate's information at the subgroup level can increase discrimination. The results have practical implications for designing better online freelance marketplaces. 
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