Zeyu Zhou

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Hi! I am a PhD student at Purdue ECE where I work with David I. Inouye. I have a track record of publishing in top conferences like NeurIPS, ICLR, and AISTATS, and industry research experience at Amazon and Bloomberg.

My research focuses on the development and evaluation of Machine Learning (ML) models, including conventional deep learning models and foundation models, that are robust and trustworthy when faced with complex data shifts in test cases and undesirable bias in pretraining data, enabling safe and effective deployment in dynamic real-world environments.

To solve this problem, I have leverage tools including (1) causality (NeurIPS24, ICLR24) (2) Generative AI models (ICLR23, AISTATS22, Amazon Internship)(3) domain knowledge (Bloomberg Internship)

Feel free to drop me an email if you are interested in my research or just want to chat. I am always open to new ideas and collaborations.

🔍 I am expected to graduate in Spring 2025 (flexible). Please let me know if you have any openings for a Machine Learning Researcher/Engineer or a Quantitative Researcher

🔍 I am also looking for a research internship in Winter/Summer 2025. Please let me know if you have any openings.

News

Oct 19, 2024 I will attend NeurIPS 2024 at Vancouver, Canada. I am looking forward to meeting you there!

Selected Publications

  1. NeurIPS
    Counterfactual Fairness by Combining Factual and Counterfactual Predictions
    Zeyu Zhou, Tianci Liu , Ruqi Bai , Jing Gao , Murat Kocaoglu , and David I Inouye
    Neural Information Processing Systems, 2024
  2. ICLR DPFM
    Improving Practical Counterfactual Fairness with Limited Causal Knowledge
    Zeyu Zhou, Ruqi Bai , and David I Inouye
    ICLR Workshop on Navigating and Addressing Data Problems for Foundation Models, 2024
  3. ICLR
    Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
    Zeyu Zhou*, Ruqi Bai* , Sean Kulinski* , Murat Kocaoglu , and David I Inouye
    The Twelfth International Conference on Learning Representations, 2024
  4. ICLR
    Efficient Federated Domain Translation
    Zeyu Zhou, Sheikh Shams Azam , Christopher Brinton , and David I Inouye
    In The Eleventh International Conference on Learning Representations , 2023
  5. AISTATS
    Iterative Alignment Flows
    Zeyu Zhou, Ziyu Gong , Pradeep Ravikumar , and David I Inouye
    In International Conference on Artificial Intelligence and Statistics , 2022