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A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
Discretionary lane change (DLC) is a basic but complex maneuver in drivi...
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Graph Random Neural Network
Graph neural networks (GNNs) have generalized deep learning methods into...
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MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning
How to utilize deep learning methods for graph classification tasks has ...
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L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition
Modern Automatic Speech Recognition (ASR) systems primarily rely on scor...
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Rethinking Secure Precoding via Interference Exploitation: A Smart Eavesdropper Perspective
Based on the concept of constructive interference (CI), multiuser interf...
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A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Background: Parkinson's disease (PD) is a prevalent long-term neurodegen...
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Federated Reinforcement Learning
In reinforcement learning, building policies of high-quality is challeng...
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Neural network state estimation for full quantum state tomography
An efficient state estimation model, neural network estimation (NNE), em...
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Long Short-Term Memory Networks for CSI300 Volatility Prediction with Baidu Search Volume
Intense volatility in financial markets affect humans worldwide. Therefo...
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