GitHub

Sequential Graph-Based Decoding of the Surface Code using a Hybrid Graph and Recurrent Neural Network Model

This Git repo contains simplified source code for creating and testing our combined graph neural network and recurrent neural network used for decoding the surface code.
Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
IEEE

UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction

Abstract: Training robots to operate effectively in environments with uncertain states—such as ambiguous object properties or unpredictable interactions—remains a longstanding challenge in robotics.
IEEE

RNN-based Prediction and Risk Classifcation for Improving Endometrial Cancer Diagnosis using Clinical and Imaging Data

Abstract: Endometrial cancer is one of the most prevalent malignancies in women; hence, its early detection is critical for effective treatment and improved survival rates. Traditional techniques for ...