High-Speed Autonomous Drifting With Deep Reinforcement Learning. - Peide Cai; Xiaodong Mei 001; Lei Tai; Yuxiang Sun; Ming Liu 001 (IEEE Robotics Autom. Lett., 2020)

Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars. - Xiaodong Mei 001; Yuxiang Sun; Yuying Chen; Congcong Liu; Ming Liu 001 (CoRR, 2021)

HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction. - Yuying Chen; Congcong Liu; Xiaodong Mei 001; Bertram E. Shi; Ming Liu 001 (IROS, 2022)

Efficient Speed Planning for Autonomous Driving in Dynamic Environment With Interaction Point Model. - Yingbing Chen; Ren Xin; Jie Cheng 008; Qingwen Zhang; Xiaodong Mei 001; Ming Liu 001; Lujia Wang 001 (IEEE Robotics Autom. Lett., 2022)

Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders. - Jie Cheng 008; Xiaodong Mei 001; Ming Liu 001 (ICCV, 2023)

FCUS: Traffic Rule-Aware Vehicle Trajectory Forecasting Using Continuous Unlikelihood and Signal Temporal Logic Feature. - Sheng Wang 017; Ren Xin; Jie Cheng 008; Xiaodong Mei 001; Ming Liu 001 (ROBIO, 2023)

Rethinking Imitation-based Planner for Autonomous Driving. - Jie Cheng 008; Yingbing Chen; Xiaodong Mei 001; Bowen Yang; Bo Li; Ming Liu 001 (CoRR, 2023)

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions. - Sheng Wang 017; Yingbing Chen; Jie Cheng 008; Xiaodong Mei 001; Yongkang Song; Ming Liu 001 (CoRR, 2023)

Rethinking Imitation-based Planners for Autonomous Driving. - Jie Cheng 008; Yingbing Chen; Xiaodong Mei 001; Bowen Yang; Bo Li; Ming Liu 001 (ICRA, 2024)

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions. - Sheng Wang 017; Yingbing Chen; Jie Cheng 008; Xiaodong Mei 001; Ren Xin; Yongkang Song; Ming Liu 001 (ICRA, 2024)

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion". - Yingbing Chen; Jie Cheng 008; Sheng Wang 017; Hongji Liu; Xiaodong Mei 001; Xiaoyang Yan; Mingkai Tang 002; Ge Sun; Ya Wen; Junwei Cai; Xupeng Xie; Lu Gan 001; et al. (CoRR, 2024)

LHPF: Look back the History and Plan for the Future in Autonomous Driving. - Sheng Wang 017; Yao Tian; Xiaodong Mei 001; Ge Sun; Jie Cheng 008; Fulong Ma; Pedro V. Sander; Junwei Liang 001 (CoRR, 2024)

IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning. - Yingbing Chen; Jie Cheng 008; Lu Gan 001; Sheng Wang 017; Hongji Liu; Xiaodong Mei 001; Ming Liu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning. - Xiaodong Mei 001; Sheng Wang 017; Jie Cheng 008; Yingbing Chen; Dan Xu (CoRR, 2025)

NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving. - Ren Xin; Hongji Liu; Xiaodong Mei 001; Wenru Liu; Maosheng Ye; Zhili Chen; Jun Ma (CoRR, 2025)