Wen Li

Region Comparison Network for Interpretable Few-shot Image Classification

2020 · arXiv (Cornell University)

While deep learning has been successfully applied to many real-world computer vision tasks, training robust classifiers usually requires a large amount of well-labeled data. However, the annotation is often expensive and time-consuming. Few-shot image classification …

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets

2020 · arXiv (Cornell University)

One challenge of object recognition is to generalize to new domains, to more classes and/or to new modalities. This necessitates methods to combine and reuse existing datasets that may belong to different domains, have partial …

PolyFax: a toolkit for characterizing multi-language software

2022 · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Today’s software systems are mostly developed in multiple languages (i.e., multi-language software), yet tool support for understanding and assuring these systems is rare. To facilitate future research on multi-language software engineering, this paper presents PolyFax, …

Efficient Task Scheduling for Federated Learning-Driven Image Recognition in Cloud-Edge Collaborative Environments

2023

Cloud-edge collaboration and artificial intelligence integration have advanced federated learning image recognition model training. However, in cloud-edge collaborative federated learning, imbalanced sample data often leads to low global model aggregation accuracy. To address this, a …