most citedUnsupervised Deep Learning for IoT Time Series

67 citations · 69 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks

Arunesh Mittal, Kai Yang, Paul Sajda +1

Several approximate inference methods have been proposed for deep discrete latent variable models. However, non-parametric methods which have previously been successfully employed…

cs.LG202367 cited

Unsupervised Deep Learning for IoT Time Series

Ya Liu, Yingjie Zhou, Kai Yang +1

IoT time series analysis has found numerous applications in a wide variety of areas, ranging from health informatics to network security. Nevertheless, the complex spatial temporal…

cs.IT2023

The Meta Distribution of SINR in UAV-Assisted Cellular Networks

Minwei Shi, Kai Yang, Dusit Niyato +3

Mounting compact and lightweight base stations on unmanned aerial vehicles (UAVs) is a cost-effective and flexible solution to provide seamless coverage on the existing terrestrial…

cs.CV20222 cited

ADTR: Anomaly Detection Transformer with Feature Reconstruction

Zhiyuan You, Kai Yang, Wenhan Luo +3

Anomaly detection with only prior knowledge from normal samples attracts more attention because of the lack of anomaly samples. Existing CNN-based pixel reconstruction approaches s…

cs.LG2022

Task-aware Similarity Learning for Event-triggered Time Series

Shaoyu Dou, Kai Yang, Yang Jiao +2

Time series analysis has achieved great success in diverse applications such as network security, environmental monitoring, and medical informatics. Learning similarities among dif…

cs.CV2022

Arbitrary Handwriting Image Style Transfer

Kai Yang, Xiaoman Liang, Huihuang Zhao

This paper proposed a method to imitate handwriting style by style transfer. We proposed an neural network model based on conditional generative adversarial networks (cGAN) for han…