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Found 6 papers, 2 papers with code
Large Language Models for Networking: Workflow, Advances and Challenges
The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configuration, diagnosis and security.
Communication Optimization for Distributed Training: Architecture, Advances, and Opportunities
The past few years have witnessed the flourishing of large-scale deep neural network models with ever-growing parameter numbers.
Improving Social Media Popularity Prediction with Multiple Post Dependencies
Social Media Popularity Prediction has drawn a lot of attention because of its profound impact on many different applications, such as recommendation systems and multimedia advertising.
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Unfortunately, the existing deep learning-based methods neglect the hidden dependencies in different dimensions and also rarely consider the unique dynamic features of time series, which lack sufficient feature extraction capability to obtain satisfactory classification accuracy.
An Open-Source Web App for Creating and Scoring Qualtrics-based Implicit Association Test
The Implicit Association Test (IAT) is a common behavioral paradigm to assess implicit attitudes in various research contexts.
Defect Prediction of Railway Wheel Flats based on Hilbert Transform and Wavelet Packet Decomposition
This study aims to identify the location and height of a single wheel flat based on non-stationary axle box acceleration (ABA) signals, which are generated through a train dynamics model with flexible wheelsets.
