Zirui Li
Orcid: 0000-0002-6679-8006
According to our database1,
Zirui Li
authored at least 77 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Rate GQN: A Deviations-Reduced Decision-Making Strategy for Connected and Automated Vehicles in Mixed Autonomy.
IEEE Trans. Intell. Transp. Syst., January, 2024
Syst., 2024
2023
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses.
J. Big Data, December, 2023
Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends.
Sensors, October, 2023
Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework.
IEEE Trans. Intell. Transp. Syst., August, 2023
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control.
IEEE Trans. Intell. Transp. Syst., August, 2023
Blockchain-based auditing with data self-repair: From centralized system to distributed storage.
J. Syst. Archit., April, 2023
IEEE Trans. Ind. Electron., 2023
IEEE Trans. Cloud Comput., 2023
CoRR, 2023
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.
CoRR, 2023
Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving.
CoRR, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Towards Online Risk Assessment for Human-Robot Interaction: A Data-Driven Hamilton-Jacobi-Isaacs Reachability Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
A Human Feedback-Driven Decision-Making Method Based on Multi-Modal Deep Reinforcement Learning in Ethical Dilemma Traffic Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022
Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach.
IEEE Trans. Ind. Electron., 2022
Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving.
Sensors, 2022
Multi-Agent Decision-Making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning.
Sensors, 2022
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach.
CoRR, 2022
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach.
CoRR, 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges.
CoRR, 2022
CoRR, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.
CoRR, 2022
Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review.
IEEE Access, 2022
DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
LQR Optimal Control of Four-steering Vehicle Based on Particle Swarm Optimization Algorithm.
Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 17th International Conference on Control, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle.
CoRR, 2021
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Energy Management Strategy for Unmanned Tracked Vehicles Based on Local Speed Planning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Orientation-Aware Planning for Parallel Task Execution of Omni-Directional Mobile Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
2020
Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario.
IEEE Trans. Veh. Technol., 2020
Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment.
IEEE Trans. Intell. Transp. Syst., 2020
High-precision target positioning system for unmanned vehicles based on binocular vision.
CoRR, 2020
CoRR, 2020
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis.
CoRR, 2020
Comput. Intell. Neurosci., 2020
IEEE Access, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Short-Term Demand Forecasting of Shared Bicycles Based on Long Short-Term Memory Neural Network Model.
Proceedings of the Artificial Intelligence and Security - 6th International Conference, 2020
2019
Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study.
IEEE Trans. Veh. Technol., 2019
Sensors, 2019
From perception to control: an autonomous driving system for a formula student driverless car.
CoRR, 2019
SMCA-CNN: Learning a Semantic Mask and Cross-Scale Adaptive Feature for Robust Crowd Counting.
IEEE Access, 2019
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019
Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
2004
Protein designability analysis in sequence principal component space using 2D lattice model.
Comput. Methods Programs Biomed., 2004
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001