Zirui Li

About Me

Zirui Li received the B.S. degree from the Beijing Institute of Technology (BIT), Beijing, China, in 2019, where he is currently pursuing the Ph.D. degree in mechanical engineering under the supervision of Prof. Jianwei Gong. Now, Zirui is also a researcher in TU Dresden. From June, 2021 to July, 2022, he was a visiting researcher in Delft University of Technology (TU Delft) with CSC funding from China under the supervision of Prof. Bart van Arem, Prof. Victor Knoop and Prof. Meng Wang. From Aug, 2022. He is the visiting researcher in the Chair of Traffic Process Automation at the Faculty of Transportation and Traffic Sciences “Friedrich List” of the TU Dresden under the supervision of Prof. Meng Wang. His research focuses on interactive behavior modeling, risk assessment and motion planning of automated vehicles. Any interest on my work you can drop me email (zirui.li@tu-dresden.de)

Research Interests

• Data-driven interactive behaviour modelling for VRUs
• The integration of behaviour prediction and motion planning for AVs
• Interactive behaviour definition, measurement and detection

News

• [May. 2024] Several papers about motion prediction, risk assessment and uncertainty estimation are accepted in T-ITS, TR Part C. Please find them in my google shcolar.
• [Apr. 2024] One paper is accepted by hEART 24. See you all in Finland.
• [Apr. 2024] Xiaolin and I are awarded the third place of TRA Vision 2024 Road Section.
• [Apr. 2024] Xiaolin and I got the 6,000 USD fund from ITSS for the development of IEEE Standard.

Selected publications

For the full and newest publications CLICK HERE.

• Personalized Driver Braking Behavior Modelling in the Car-following Scenario: An Importance Weight-based Transfer Learning Approach
  Zirui Li, Jianwei Gong, Chao Lu, Jinghang Li,
  IEEE Transactions on Industrial Electronics . IEEE T-IE 2022. [PDF]

• Interactive Behaviour Prediction for Heterogeneous Traffic Participants In the Urban Road: A Graph Neural Network-based Multi-task Learning Framework
  Zirui Li, Jianwei Gong, Chao Lu, Yangtian Yi,
  IEEE/ASME Transactions on Mechatronics. IEEE/ASME T-MECH 2021. [PDF]

• A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants based on Graph Neural Network
  Zirui Li, Chao Lu, Yangtian Yi, Jianwei Gong,
  IEEE Transactions on Intelligent Transportation Systems. IEEE T-ITS 2021. [PDF]

• Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario
  Zirui Li, Jianwei Gong, Chao Lu, Junqiang Xi,
  IEEE Transactions on Vehicular Technology. IEEE T-VT 2020. [PDF]

Services

Reviewer

• Journal: IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Neural Networks and Learning Systems, Frontiers of Information Technology & Electronic Engineering, IEEE Transactions on Intelligent Vehicles, eTransportation, Geoscience and Remote Sensing Letters, IET Intelligent Transport Systems, Journal of Transportation Engineering Part A, Sensors,Remote Sensing, Applied Sciences, Machines, Electronics, Scientific report.
• Conference: IEEE Intelligent Vehicles Symposium 2018-2024, IEEE International Conference on Intelligent Transportation Systems 2018-2024, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE International Conference on Unmanned Systems (ICUS), IEEE International Conference on Robotics and Automation (ICRA).

Chair/Co-chairs

• Working group leader, intelligent vehicle risk assessment under IEEE Standard Assosiation (SA).
• Co-chair, workshop on Cooperative Decision-making for Connected and Automated Vehicles in Intelligent Transportation Systems at IEEE ITSC 2023
• Associate Editor for IEEE IV 2023
• Chair, workshop on Social, interactive and safe behaviors for AVs: benchmarks, models and applications at IEEE IV 2023.
• Organising committee, MFTS 2022
• Chair, workshop on Social and Interactive Behavior Modelling in Intelligent Transportation Systems at IEEE ITSC 2021.

Membership

• IEEE student member
• SAE China student member
• ITSS member

Talks

• Apr, 2024 ArrivalNet: Multi-step Bus/tram Arrival time Prediction in Dresden at 2024 TUD-KTH joint workshop.
• Nov, 2023 Towards integrating subjective and objective risks in human-centric automated driving at 2023 ITS WiE/YP Workshop & Research Forum, Cairo, Egypt.
• Sep. 2023 Continual Driver Behavior Learning in Interactive Urban Scenarios at ITSC 2023, Bilbao, Bizkaia, Spain.
• Dec. 2022 Interactive Behavior Modeling for Vulnerable Road Users with Risk-taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach at IEEE ITSC 2022 workshop.
• Dec. 2022 Towards Safe, efficient and Co-operative Decision-making for CAVs in Mixed Autonomy: An Attention-Enhanced Graphic Reinforcement Learning Approach at MFTS 2022.
• Nov. 2022 Interactive Behavior Modeling for Vulnerable Road Users with Risk-taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach at IEEE ITSC 2022 workshop Cooperative and Automated Driving.
• Oct. 2022, Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic environments at IEEE ITSC 2022.
• June. 2022, Interactive Behavior Modeling for Vulnerable Road Users with Risk-taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach at the Chair of Traffic Process Automation TU Dresden.
• Oct. 2021, Defining the Interactive Behavior: A Mutual Information-based Approach at hEAT Lab, TU Delft.
• June. 2021, Graph Neural Network for Interactive behaviours: Modelling, Risk Assessment and Multi-task Prediction at Traffic Dynamics, Modelling and Control lab, TU Delft. -April. 2021, Graph Neural Network for Interactive behaviours: Modelling, Risk Assessment and Multi-task Prediction at hEAT Lab, TU Delft.
• June. 2019, Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario at IEEE IV 2019.
• June. 2018, Development and Evaluation of Two Learning-Based Personalized Driver Model for Pure pursuit Path-Tracking Behaviors at IEEE IV 2018.

Awards

• TRA Vision 2024, third place in raod section.
• IEEE ITSS Young Professionals Travelling Fellowship (2023).
• Two-Year Graduate Student Fellowship of China Scholarship Councils (CSC), 2021-2023.
• Excellent Graduate Study Scholarship, 2021.
• National Scholarship for College Student, Ministry of Education of China, 2021.
• Champions for Formula Student Driverless China, 2017&2018.
• Innovation Scholarship first prize, Ministry of Industry and Information Technology, 2018.

Mentorship Experience

• Beijing Institute of Technology: Cheng Gong, Yunlong Lin, Chenxu Wen, Haowen Wang, Hailong Gong, Lianzhen Wei, Yangtian Yi, Xianqi He, jingyi Xu, Yingqi Tan,Tanran Chen.
• TU Dresden: Fanyi Wei.