Active Learning for Cross Language Text Categorization. - Yue Liu; Lin Dai; Weitao Zhou; Heyan Huang (PAKDD (1), 2012)

Integrating Deep Reinforcement Learning with Optimal Trajectory Planner for Automated Driving. - Weitao Zhou; Kun Jiang 002; Zhong Cao; Nanshan Deng; Diange Yang (ITSC, 2020)

Adapt the Driving Policy to Local Traffic before Entering the New Area. - Nanshan Deng; Zhong Cao; Weitao Zhou; Kun Jiang 002; Diange Yang (ITSC, 2021)

LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System. - Zhong Cao; Jiaxin Liu; Weitao Zhou; Xinyu Jiao; Diange Yang (IV, 2021)

Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. - Weitao Zhou; Zhong Cao; Yunkang Xu; Nanshan Deng; Xiaoyu Liu; Kun Jiang 002; Diange Yang (ITSC, 2022)

An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation. - Zelin Qian; Kun Jiang 002; Weitao Zhou; Junze Wen; Cheng Jing; Zhong Cao; Diange Yang (ITSC, 2023)

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning. - Zhong Cao; Kun Jiang 002; Weitao Zhou; Shaobing Xu; Huei Peng; Diange Yang (Nat. Mac. Intell., 2023)

Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. - Zhong Cao; Xiang Li 001; Kun Jiang 002; Weitao Zhou; Xiaoyu Liu; Nanshan Deng; Diange Yang (IEEE Trans. Intell. Veh., 2023)

Dynamically Conservative Self-Driving Planner for Long-Tail Cases. - Weitao Zhou; Zhong Cao; Nanshan Deng; Xiaoyu Liu; Kun Jiang 002; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2023)

Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. - Weitao Zhou; Zhong Cao; Nanshan Deng; Kun Jiang 002; Diange Yang (IEEE Trans. Intell. Transp. Syst., 2023)

SPIDER: Self-Driving Planners and Intelligent Decision-Making Engines with Reusability. - Zelin Qian; Kun Jiang 002; Zhong Cao; Kangan Qian; Yiliang Xu; Weitao Zhou; Diange Yang (ITSC, 2024)

Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving. - Nanshan Deng; Weitao Zhou; Bo Zhang 106; Junze Wen; Kun Jiang 002; Zhong Cao; Diange Yang (CoRR, 2025)

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy. - Weitao Zhou; Bo Zhang 106; Zhong Cao; Xiang Li 001; Qian Cheng; Chunyang Liu; Yaqin Zhang; Diange Yang (CoRR, 2025)