Automated Detection of Rockfish in Unconstrained Underwater Videos Using Haar Cascades. - George Cutter; Kevin Stierhoff; Jiaming Zeng (WACV Workshops, 2015)

The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning. - Jiaming Zeng; Adam Lesnikowski; Jose M. Alvarez (CoRR, 2018)

Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies. - Jiaming Zeng (AAAI, 2020)

Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract). - Jiaming Zeng; Imon Banerjee; Michael Francis Gensheimer; Daniel L. Rubin (AAAI, 2020)

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. - Hammaad Adam; Ming-Ying Yang; Kenrick Cato; Ioana Baldini; Charles Senteio; Leo Anthony Celi; Jiaming Zeng; Moninder Singh; Marzyeh Ghassemi (AIES, 2022)

Evaluating Fairness of Synthetic Healthcare Data Models. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AMIA, 2022)

DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation. - Li Zhu; Qiong He; Yue Huang; Zihe Zhang; Jiaming Zeng; Ling Lu; Weiming Kong; Fuqing Zhou (Comput. Biol. Medicine, 2022)

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

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AIES, 2023)