research
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11/01/2022
Augmentation Invariant Manifold Learning
Data augmentation is a widely used technique and an essential ingredient...
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06/14/2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Self-supervised metric learning has been a successful approach for learn...
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01/21/2021
Robust Differential Abundance Test in Compositional Data
Differential abundance tests in the compositional data are essential and...
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08/09/2020
Covariate Balancing by Uniform Transformer
In observational studies, it is important to balance covariates in diffe...
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11/20/2017
