Publications

Jennifer Yu, Zhenqin Wu, Aaron Mayer, Alexandro Trevino, James Zou (2023). A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images. In MLCB 2023.

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Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni (2023). Dynamic Interpretable Change Point Detection for Physiological Data Analysis. In ML4H 2023.

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Jennifer Yu, Mai Ali, Rui Zhu, Parinita Edke, Anna Goldenberg (2023). Childhood Adversity’s Impact on Dynamic Mental Health During and Post Pregnancy. In DSTNDS 2023.

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Amer Hussain, Zhenyu Zhang, Jennifer Yu, Ruihan Wei, Hamza Arshad, Jinhwan Lew, Cierra Jaggan, Yongdong Wang, Ji-Hong Chen, Jan Huizinga (2023). Haustral Rhythmic Motor Patterns of the Human Large Bowel Revealed by Ultrasound. American Journal of Physiology-Gastrointestinal and Liver Physiology, 1(1).

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Hajar Abedi, Martin Ma, James He, Jennifer Yu, Ahmad Ansariyan, George Shaker (2023). Deep Learning-Based In-Cabin Monitoring and Vehicle Safety System Using a 4-D Imaging Radar Sensor. IEEE Sensors.

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Hajar Abedi, Martin Ma, Jennifer Yu, James He, Ahmad Ansariyan, George Shaker (2022). On the Use of Machine Learning and Deep Learning for Radar- Based Passenger Monitoring. In IEEE AP-S/URSI 2022.

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Jennifer Yu, Duncan Forster, Shraddha Pai (2021). Extending Similarity Network-Based Classifiers to the Non-Coding Genome and Deep Learning. In MLCB 2021.

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