Eco-routing for Plug-in Hybrid Electric Vehicles. - Boqi Li 001; Shaobing Xu; Huei Peng (ITSC, 2020)

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning. - Zhong Cao; Diange Yang; Shaobing Xu; Huei Peng; Boqi Li 001; Shuo Feng 002; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2021)

Decentralized Ride-sharing of Shared Autonomous Vehicles Using Graph Neural Network-Based Reinforcement Learning. - Boqi Li 001; Nejib Ammar; Prashant Tiwari; Huei Peng (ICRA, 2022)

Attention-Based Deep Driving Model for Autonomous Vehicles with Surround-View Cameras. - Yang Zhao 024; Jie Li; Rui Huang 008; Boqi Li 001; Ao Luo; Yaochen Li; Hong Cheng 002 (IROS, 2022)

Combined Eco-Routing and Power-Train Control of Plug-In Hybrid Electric Vehicles in Transportation Networks. - Arian Houshmand; Christos G. Cassandras; Nan Zhou 008; Nasser Hashemi; Boqi Li 001; Huei Peng (IEEE Trans. Intell. Transp. Syst., 2022)

Eco-Mobility-on-Demand Fleet Control With Ride-Sharing. - Xianan Huang; Boqi Li 001; Huei Peng; Joshua A. Auld; Vadim O. Sokolov (IEEE Trans. Intell. Transp. Syst., 2022)

System and Experiments of Model-Driven Motion Planning and Control for Autonomous Vehicles. - Shaobing Xu; Robert Zidek; Zhong Cao; Pingping Lu; Xinpeng Wang 002; Boqi Li 001; Huei Peng (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Copula-Based Interactive Behavior Modeling for Naturalistic Test Scenarios Generation. - Xinyu Gu; Siyu Wu; Boqi Li 001; Hong Wang; Xiaohong Jiao; Zheng Wang; Wei Lu; Wenhao Yu 006; Liyang Chen; Jia Hu 003; Shulian Zhao (ITSC, 2023)

Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance. - Chengxiang Zhao; Wenhao Yu 003; Xiaohan Ma; Yuzhuang Zhao; Boqi Li 001; Weida Wang; Jia Hu 003; Hong Wang 007; Ding Zhao (ITSC, 2023)

Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing. - Shaobo Qiu; Ji Li; Guoxi Chen; Hong Wang; Boqi Li 001 (CoRR, 2023)

Driving risk-aversive motion planning in off-road environment. - Hongqing Tian; Boqi Li 001; Heye Huang; Ling Han (Expert Syst. Appl., 2023)

Safe and Human-Like Trajectory Planning of Self-Driving Cars: A Constraint Imitative Method. - Mingyang Cui; Yingbai Hu; Shaobing Xu; Jianqiang Wang 003; Zhenshan Bing; Boqi Li 001; Alois Knoll (Adv. Intell. Syst., 2023)

Prediction Failure Risk-Aware Decision-Making for Autonomous Vehicles on Signalized Intersections. - Kai Yang 032; Boqi Li 001; Wenbo Shao; Xiaolin Tang; Xiaochuan Liu; Hong Wang 014 (IEEE Trans. Intell. Transp. Syst., 2023)

Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments. - Heye Huang; Jinxin Liu; Guanya Shi; Shiyue Zhao; Boqi Li 001; Jianqiang Wang 003 (CoRR, 2024)

DECODE: Domain-aware Continual Domain Expansion for Motion Prediction. - Boqi Li 001; Haojie Zhu; Henry X. Liu (CoRR, 2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models. - Zhiyuan Zhou; Heye Huang; Boqi Li 001; Shiyue Zhao; Yao Mu 001; Jian-Qiang Wang 003 (CoRR, 2024)

SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving. - Liang Peng; Boqi Li 001; Wenhao Yu 006; Kai Yang 032; Wenbo Shao; Hong Wang 014 (IEEE Trans. Intell. Transp. Syst., 2024)

When Is It Likely to Fail? Performance Monitor for Black-Box Trajectory Prediction Model. - Wenbo Shao; Boqi Li 001; Wenhao Yu 006; Jiahui Xu; Hong Wang 014 (IEEE Trans Autom. Sci. Eng., 2025)

LEAD: Learning-Enhanced Adaptive Decision-Making for Autonomous Driving in Dynamic Environments. - Heye Huang; Jinxin Liu; Bo Zhang 106; Shiyue Zhao; Boqi Li 001; Jianqiang Wang 003 (IEEE Trans. Intell. Transp. Syst., 2025)