About Me

I am a PhD student in Computer Science at George Mason University. I am interested in Trustworthy AI. My recent work focuses on mitigating spurious correlations and debiasing machine learning models to enhance robustness.

I am actively seeking a research internship for Summer 2025.

Education

  • PhD Student, Computer Science - George Mason University, Fairfax, VA, USA (08/2023 - Present)
  • M.S., Electrical and Computer Engineering - University of Michigan, Ann Arbor, MI, USA (08/2019 - 04/2021)
  • B.Eng., Electronics Science and Technology - Southeast University, Nanjing, Jiangsu, China (08/2015 - 06/2019)

Research Interests

My research focuses on:

  • Trustworthy AI
  • Model Debiasing
  • Causal Inference

Publications

  • [Preprint 2024] Towards Robust Text Classication: Mitigating Spurious Correlations with Causal Learning (paper)

    Yuqing Zhou, Ziwei Zhu.

  • [Findings of EMNLP 2024] Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models (paper)

    Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu.

  • [CIKM 2023] A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation (paper)

    Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu.