Rui Zhao

Orcid: 0000-0003-1597-1961

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Rui Zhao authored at least 24 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Centralized cooperative control for autonomous vehicles at unsignalized all-directional intersections: A multi-agent projection-based constrained policy optimization approach.
Expert Syst. Appl., 2025

2024
Centralized Cooperation for Connected Autonomous Vehicles at Intersections by Safe Deep Reinforcement Learning.
IEEE Trans. Mob. Comput., December, 2024

A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions.
IEEE Trans. Intell. Transp. Syst., December, 2024

Sequence Decision Transformer for Adaptive Traffic Signal Control.
Sensors, October, 2024

Constraint-Guided Behavior Transformer for Centralized Coordination of Connected and Automated Vehicles at Intersections.
Sensors, August, 2024

Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions.
Sensors, August, 2024

DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model.
Sensors, July, 2024

Towards Robust Decision-Making for Autonomous Highway Driving Based on Safe Reinforcement Learning.
Sensors, July, 2024

Multi-Agent Constrained Policy Optimization for Conflict-Free Management of Connected Autonomous Vehicles at Unsignalized Intersections.
IEEE Trans. Intell. Transp. Syst., June, 2024

Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages.
Sensors, June, 2024

Adaptive Cruise Control Based on Safe Deep Reinforcement Learning.
Sensors, April, 2024

Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction.
Sensors, April, 2024

Human-like mechanism deep learning model for longitudinal motion control of autonomous vehicles.
Eng. Appl. Artif. Intell., 2024

Leveraging Monte Carlo Dropout for Uncertainty Quantification in Real-Time Object Detection of Autonomous Vehicles.
IEEE Access, 2024

An Enhanced Vehicle Trajectory Prediction Model Leveraging LSTM and Social-Attention Mechanisms.
IEEE Access, 2024

Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making.
IEEE Access, 2024

Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties.
IEEE Access, 2024

2023
Online Safety Verification of Autonomous Driving Decision-Making Based on Dynamic Reachability Analysis.
IEEE Access, 2023

2019
Security-Aware Scheduling for TTEthernet-Based Real-Time Automotive Systems.
IEEE Access, 2019

Mixpred: Video Prediction Beyond Optical Flow.
IEEE Access, 2019

ConvCaps: Multi-input Capsule Network for Brain Tumor Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Recursive Bayesian echo state network with an adaptive inflation factor for temperature prediction.
Neural Comput. Appl., 2018

2016
A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay static segment.
Frontiers Inf. Technol. Electron. Eng., 2016

Analysis on in-vehicle information security defense.
J. Comput. Methods Sci. Eng., 2016


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