activity
20172026
most citedRethinking the Value of Labels for Improving Class-Imbalanced Learning

212 citations · 557 across the 44 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CY2023

The Limits of Fair Medical Imaging AI In The Wild

Yuzhe Yang, Haoran Zhang, Judy W Gichoya +2

As artificial intelligence (AI) rapidly approaches human-level performance in medical imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Prior…

cs.CV2023

Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data

Yuxuan Ou, Yuzhe Zhang, Yuntang Wang +4

Recent advances in supervised deep learning techniques have demonstrated the possibility to remotely measure human physiological vital signs (e.g., photoplethysmograph, heart rate)…

cs.CV2023★ 44 cited

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Gregory Holste, Yiliang Zhou, Song Wang +22

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…

cs.CV2023★ 3 cited

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

Girish Narayanswamy, Yujia Liu, Yuzhe Yang +4

Understanding of human visual perception has historically inspired the design of computer vision architectures. As an example, perception occurs at different scales both spatially…

cs.LG2023★ 11 cited

Change is Hard: A Closer Look at Subpopulation Shift

Yuzhe Yang, Haoran Zhang, Dina Katabi +1

Machine learning models often perform poorly on subgroups that are underrepresented in the training data. Yet, little is understood on the variation in mechanisms that cause subpop…