29 citations · 67 across the 12 of their papers we have counts for
12 papers
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
Cheng Cao, Jiguo Cao, Hailiang Wang +2
Sensor devices have been increasingly used in engineering and health studies recently, and the captured multi-dimensional activity and vital sign signals can be studied in associat…
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Tiange Wang, Zijun Zhang, Kwok-Leung Tsui
Accurate forecasting of traffic conditions is critical for improving safety, stability, and efficiency of a city transportation system. In reality, it is challenging to produce acc…
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Tiange Wang, Zijun Zhang, Fangfang Yang +1
Automated inspection and detection of foreign objects on railways is important for rail transportation safety as it helps prevent potential accidents and trains derailment. Most ex…
Automatic Rail Component Detection Based on AttnConv-Net
Tiange Wang, Zijun Zhang, Fangfang Yang +1
The automatic detection of major rail components using railway images is beneficial to ensure the rail transport safety. In this paper, we propose an attention-powered deep convolu…
Viewpoint-Invariant Exercise Repetition Counting
Yu Cheng Hsu, Qingpeng Zhang, Efstratios Tsougenis +1
Counting the repetition of human exercise and physical rehabilitation is a common task in rehabilitation and exercise training. The existing vision-based repetition counting method…
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
Lisha Yu, Inez M. Zwetsloot, Nathaniel T. Stevens +2
Recently there has been a lot of interest in monitoring and identifying changes in dynamic networks, which has led to the development of a variety of monitoring methods. Unfortunat…