Zirui Li

发表

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

Jingyi Xu, Zirui Li, Li Gao, 2022, 2022 IEEE Intelligent Vehicles Symposium (IV).

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Zirui Li, Qi Liu, Yunlong Lin, 2022, ArXiv.

Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery

L. Yang, Zirui Li, Jian-wei Gong, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

Jianwei Gong, Zirui Li, Lianzhen Wei, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

S. Yuan, Xueyuan Li, Zirui Li, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Xueyuan Li, Zirui Li, Qi Liu, 2022, IEEE Access.

A Transferable Energy Management Strategy for Hybrid Electric Vehicles via Dueling Deep Deterministic Policy Gradient

Jingyi Xu, Zirui Li, Li Gao, 2022, Green Energy and Intelligent Transportation.

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

S. Yuan, Xueyuan Li, Fan Yang, 2022, ArXiv.

Deep residual shrinkage relation network for anomaly detection of rotating machines

C. Deng, Jun Wu, Zirui Li, 2022, Journal of Manufacturing Systems.

Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis

Jianwei Gong, Cheng Gong, Zirui Li, 2020, 2020 3rd International Conference on Unmanned Systems (ICUS).

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks pdf

David Z. Pan, Frederic T. Chong, Song Han, 2021, ArXiv.

A Fast Detection Method of Turbulent Gases Based on Gated Recurrent Unit and Attention Mechanism

Ke-wen Xia, Zirui Li, Shurui Fan, 2023, IEEE Sensors Journal.

Review on Vehicle Detection Technology for Unmanned Ground Vehicles

Xueyuan Li, Shihua Yuan, Zirui Li, 2021, Sensors.

A non-probabilistic uncertainty analysis method based on ellipsoid possibility model and its applications in multi-field coupling systems

Zirui Li, Xu Han, Qiming Liu, 2021 .

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection

Minyi Guo, Jingwen Leng, Zirui Li, 2021, ICPP.

Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking

Jianwei Gong, Chao Lu, Yang Yu, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment

Dongpu Cao, Chao Lu, Jianwei Gong, 2020, IEEE Transactions on Intelligent Transportation Systems.

MPAN: Multi-Part Attention Network for Point Cloud Based 3D Shape Retrieval

Weizhi Nie, Wenhui Li, Yue Zhao, 2020, IEEE Access.

Choosing Transfer Languages for Cross-Lingual Learning

Graham Neubig, Patrick Littell, Antonios Anastasopoulos, 2019, ACL.

Estimation of Particle Location in Granular Materials Based on Graph Neural Networks

Ling Zhang, Zirui Li, Xingqiao Li, 2023, Micromachines.

Generalized Single-Vehicle-Based Graph Reinforcement Learning for Decision-Making in Autonomous Driving

Xueyuan Li, Fan Yang, Zirui Li, 2022, Sensors.

Sequential Point Cloud Prediction in Interactive Scenarios: A Survey pdf

Zirui Li, Haowen Wang, Jianwei Gong, 2021, 2021 China Automation Congress (CAC).

Research on CNN Algorithm for Monochromatic Fabric Defect Detection

Zirui Li, Wenjing Yu, Hang Liu, 2021, International Conference on Image, Vision and Computing.

Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach

Zirui Li, Yunlong Lin, Cheng Gong, 2022, ArXiv.

Stochastic Graph Recurrent Neural Network pdf

Yuanqing Xia, Hongwei Zhang, Tijin Yan, 2020, Neurocomputing.

Continual Driver Behaviour Learning for Connected Vehicles and Intelligent Transportation Systems: Framework, Survey and Challenges

Shanzhi Chen, Zirui Li, Yunlong Lin, 2023, Green Energy and Intelligent Transportation.

Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario

Junqiang Xi, Zirui Li, Chao Lu, 2020, IEEE Transactions on Vehicular Technology.

A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario

Jianwei Gong, Chao Lu, Zirui Li, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario*

Jianwei Gong, Chao Lu, Youzhi Xu, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study

Dongpu Cao, Chao Lu, Jianwei Gong, 2019, IEEE Transactions on Vehicular Technology.

Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors

Gang Wang, Chao Lu, Jianwei Gong, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Personalized Driver Braking Behavior Modelling in the Car-following Scenario: An Importance Weight-based Transfer Learning Approach

Zirui Li, Jian-wei Gong, Chao Lu, 2022, IEEE Transactions on Industrial Electronics.

A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network

Zirui Li, Chao Lu, Jianwei Gong, 2022, IEEE Transactions on Intelligent Transportation Systems.

Interactive Behavior Prediction for Heterogeneous Traffic Participants in the Urban Road: A Graph-Neural-Network-Based Multitask Learning Framework

Jianwei Gong, Zirui Li, Chao Lu, 2021, IEEE/ASME Transactions on Mechatronics.

Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook

Xueyuan Li, Shihua Yuan, Zirui Li, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Filling Action Selection Reinforcement Learning Algorithm for Safer Autonomous Driving in Multi-Traffic Scenes

Fan Yang, Xueyuan Li, Zirui Li, 2023, 2023 IEEE Intelligent Vehicles Symposium (IV).

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

Y. Zou, Zirui Li, Qi Liu, 2023, IEEE Transactions on Intelligent Transportation Systems.

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Xueyuan Li, Zirui Li, Qi Liu, 2022, ArXiv.

SMCA-CNN: Learning a Semantic Mask and Cross-Scale Adaptive Feature for Robust Crowd Counting

Yuexian Zou, Zirui Li, Dongming Yang, 2019, IEEE Access.

Lidar-only 3D SLAM System Comparative Study

Xueyuan Li, Zirui Li, Qi Liu, 2022, 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Autonomous Formula Racecar: Overall System Design and Experimental Validation pdf

Jibin Hu, Jun Ni, Hanqing Tian, 2020, ArXiv.

Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework

Zirui Li, Jian-wei Gong, Chao Lu, 2023, IEEE Transactions on Intelligent Transportation Systems.

Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle pdf

Zirui Li, Chao Lu, Cheng Gong, 2021, ArXiv.

Multi-Vehicles Decision-Making in Interactive Highway Exit: A Graph Reinforcement Learning Approach

Xueyuan Li, Fan Yang, Zirui Li, 2022, 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA).