Publications

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin Bennett (2023). Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society.

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Hammaad Adam, Ming Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi (2022). Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society.

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Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett (2022). Downstream Fairness Caveats with Synthetic Healthcare Data. arXiv.

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Jiaming Zeng, Michael F. Gensheimer, Daniel L. Rubin, Susan Athey, Ross D. Shachter (2022). Uncovering interpretable potential confounders in electronic medical records. Nature Communications.

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Jiaming Zeng, Imon Banerjee, A. Solomon Henry, Douglas J. Wood, Ross D. Shachter, Michael F. Gensheimer, Daniel L. Rubin (2021). Natural Language Processing to Identify Cancer Treatments With Electronic Medical Records. JCO Clinical Cancer Informatics.

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Jiaming Zeng (2020). Developing a machine learning tool for dynamic cancer treatment strategies. Proceedings of the AAAI Conference on Artificial Intelligence.

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Jiaming Zeng, Imon Banerjee, Michael Gensheimer, Daniel Rubin (2020). Cancer treatment classification with electronic medical health records (student abstract). Proceedings of the AAAI Conference on Artificial Intelligence.

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Jiaming Zeng, Francisco Gimenez, Elizabeth S. Burnside, Daniel L. Rubin, Ross Shachter (2019). A Probabilistic Model to Support Radiologists’ Classification Decisions in Mammography Practice. Medical Decision Making.

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Jiaming Zeng, Adam Lesnikowski, Jose M. Alvarez (2018). The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning. Third workshop on Bayesian Deep Learning (NeurIPS 2018).

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Jiaming Zeng, Berk Ustun, Cynthia Rudin (2017). Interpretable classification models for recidivism prediction. Journal of the Royal Statistical Society Series A: Statistics in Society.

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George Cutter, Kevin Stierhoff, Jiaming Zeng (2015). Automated detection of rockfish in unconstrained underwater videos using haar cascades and a new image dataset: Labeled fishes in the wild. 2015 IEEE Winter Applications and Computer Vision Workshops.

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