1 code implementation • 1 Nov 2023 • Yu Yang, Xiaotong Shen
This paper presents FlowSUM, a normalizing flows-based variational encoder-decoder framework for Transformer-based summarization.
1 code implementation • 27 Oct 2023 • Xiaotong Shen, Yifei Liu, Rex Shen
This article explores the effectiveness of statistical methods on synthetic data and the privacy risks of synthetic data.
no code implementations • 25 Oct 2023 • Minjie Wang, Xiaotong Shen, Wei Pan
This article presents a novel method for causal discovery with generalized structural equation models suited for analyzing diverse types of outcomes, including discrete, continuous, and mixed data.
1 code implementation • 30 May 2023 • Yifei Liu, Rex Shen, Xiaotong Shen
The framework focuses on uncertainty quantification in complex data scenarios, particularly involving unstructured data while utilizing deep learning models.
1 code implementation • 18 Nov 2022 • Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan
We apply the proposed method to the MNIST dataset and the MIT-BIH dataset with a convolutional auto-encoder.
1 code implementation • 8 Nov 2021 • Xuan Bi, Xiaotong Shen
This phenomenon is known as the trade-off between privacy protection and statistical accuracy.
no code implementations • 6 Oct 2021 • Ben Dai, Xiaotong Shen, Wei Pan
In this article, we develop a multistage recommender system utilizing a two-level monotonic property characterizing a monotonic chain of events for personalized prediction.
1 code implementation • 2 Mar 2021 • Ben Dai, Xiaotong Shen, Wei Pan
In this article, we derive one-split and two-split tests relaxing the assumptions and computational complexity of existing black-box tests and extending to examine the significance of a collection of features of interest in a dataset of possibly a complex type such as an image.
no code implementations • 5 Nov 2017 • Xuan Bi, Annie Qu, Xiaotong Shen
Recommender systems have been widely adopted by electronic commerce and entertainment industries for individualized prediction and recommendation, which benefit consumers and improve business intelligence.
no code implementations • 10 Sep 2012 • Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
We expect the two brain networks for NC and MCI to share common structures but not to be identical to each other; similarly for the two brain networks for MCI and AD.