Multi-View Discriminant Framework for Automatic Modulation Open Set Recognition.

MSR-GAN: multi-scales decomposition representations for unsupervised anomaly detection.

FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition.

MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition.

Robustness enhancement of deep reinforcement learning-based traffic signal control model via structure compression.

Traffic State Estimation of Road Sections Without Detectors Based on Multisource Causal Interpretation Graph.

Cross-city traffic state prediction based on knowledge transfer framework.

A robust DRL-based decision-making framework for CAV in highway mixed traffic.

A Graph Deep Reinforcement Learning Traffic Signal Control for Multiple Intersections Considering Missing Data.

HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification.

AT-GAN: A Backdoor Attack Against Radio Signals Modulation Based on Adaptive Trigger.

Channel Pruning Method for Signal Modulation Recognition Deep Learning Models.

Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic.

Imperceptible UAPs for Automatic Modulation Classification Based on Deep Learning.

Multi-View Graph Convolution Network Reinforcement Learning for CAVs Cooperative Control in Highway Mixed Traffic.

A Car-Following Model Considering Missing Data Based on TransGAN Networks.

Learn to Defend: Adversarial Multi-Distillation for Automatic Modulation Recognition Models.

Hierarchical spatio-temporal graph convolutional neural networks for traffic data imputation.

Reassessing Layer Pruning in LLMs: New Insights and Methods.

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis.

A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models.

A Missing Traffic Data Imputation Method Based on a Diffusion Convolutional Neural Network-Generative Adversarial Network.

Partial Unbalanced Feature Transport for Cross-Modality Cardiac Image Segmentation.

MVHGN: Multi-View Adaptive Hierarchical Spatial Graph Convolution Network Based Trajectory Prediction for Heterogeneous Traffic-Agents.

Group Vehicle Trajectory Prediction With Global Spatio-Temporal Graph.

Robustness Analysis of Discrete State-Based Reinforcement Learning Models in Traffic Signal Control.

AvgNet: Adaptive Visibility Graph Neural Network and Its Application in Modulation Classification.

Traffic State Data Imputation: An Efficient Generating Method Based on the Graph Aggregator.

The Evaluation of the Urban Road Network Based on the Complex Network.

Backdoor Defence for Voice Print Recognition Model Based on Speech Enhancement and Weight Pruning.

Adversarial Examples Detection of Radio Signals Based on Multifeature Fusion.

Adaptive Visibility Graph Neural Network and its Application in Modulation Classification.

CLPVG: Circular limited penetrable visibility graph as a new network model for time series.

Analysis of Hospitalizing Behaviors Based on Big Trajectory Data.

Real-time road traffic state prediction based on ARIMA and Kalman filter.

Traffic Vehicle Counting in Jam Flow Conditions Using Low-Cost and Energy-Efficient Wireless Magnetic Sensors.

Sensor Location Problem Optimization for Traffic Network with Different Spatial Distributions of Traffic Information.

Enhanced differential evolution using local Lipschitz underestimate strategy for computationally expensive optimization problems.