My research interests are machine learning, deep learning, and computer vision. Currently, I focus on developing robust and explainable methods for Out-of-Distribution (OOD) generalization.

University of Delaware

We focus on the problem of cross-modal retrieval. Probabilistic embeddings are proposed to handle the multiplicity of cross-modal retrieval while suffering from similarity miscalibration. To address it, we propose to calibrate the similarity for probabilistic embeddings by estimating the density ratio between the distributions of the two modalities.

Applied Scientist Intern

Fengchun Qiao

English

Phd student

Python

Tensorflow

Pytorch

Time Management Skills

Good presentation skills

Process Improvement

Driven and self-motivated

Communication Skills

Fengchun Qiao

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