no code implementations • 11 Jan 2024 • Zhuoyan Li, Zhuoran Lu, Ming Yin
In this paper, we propose a computational framework that can provide an interpretable characterization of the influence of different forms of AI assistance on decision makers in AI-assisted decision making.
no code implementations • 11 Oct 2023 • Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, Ming Yin
The collection and curation of high-quality training data is crucial for developing text classification models with superior performance, but it is often associated with significant costs and time investment.
no code implementations • 13 Jul 2020 • Jiawei Shen, Zhuoyan Li, Lei Yu, Gui-Song Xia, Wen Yang
Deep convolutional neural networks (CNN) have been applied for image dehazing tasks, where the residual network (ResNet) is often adopted as the basic component to avoid the vanishing gradient problem.