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2020 – today
- 2026
[j5]Chuchu Xie
, Kun Jiang, Zheng Fu, Weitao Zhou, He Zhe Lim, Ke Wang, Yining Shi, Diange Yang:
CausalPlanner: A Causality-Enhanced Planning Framework for Generalizable Autonomous Driving. IEEE Robotics Autom. Lett. 11(5): 5685-5692 (2026)- [i11]Bowen Jing, Ruiyang Hao, Weitao Zhou, Haibao Yu:
CounterScene: Counterfactual Causal Reasoning in Generative World Models for Safety-Critical Closed-Loop Evaluation. CoRR abs/2603.21104 (2026) - [i10]Zijian Zhang, Yuqing Jiang, Qian Cheng, Xiaofan Li, Si Liu, Ding Zhao, Ping Luo, Weitao Zhou, Haibao Yu:
GaussianDream: A Feed-Forward 3D Gaussian World Model for Robotic Manipulation. CoRR abs/2605.20752 (2026) - 2025
- [c8]Weitao Zhou, Bo Zhang, Zhong Cao, Xiang Li, Qian Cheng, Chunyang Liu, Yaqin Zhang, Diange Yang:
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy. IROS 2025: 604-611 - [i9]Nanshan Deng, Weitao Zhou, Bo Zhang, Junze Wen, Kun Jiang, Zhong Cao, Diange Yang:
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving. CoRR abs/2502.21134 (2025) - [i8]Weitao Zhou, Bo Zhang, Zhong Cao, Xiang Li, Qian Cheng, Chunyang Liu, Yaqin Zhang, Diange Yang:
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy. CoRR abs/2506.16720 (2025) - [i7]Xiang Li, Gang Liu, Weitao Zhou, Hongyi Zhu, Zhong Cao:
Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation. CoRR abs/2512.13094 (2025) - [i6]Yanding Yang, Weitao Zhou, Jinhai Wang, Xiaomin Guo, Junze Wen, Xiaolong Liu, Lang Ding, Zheng Fu, Jinyu Miao, Kun Jiang, Diange Yang:
DTCCL: Disengagement-Triggered Contrastive Continual Learning for Autonomous Bus Planners. CoRR abs/2512.18988 (2025) - [i5]Zhaoyang Liu, Weitao Zhou, Junze Wen, Cheng Jing, Qian Cheng, Kun Jiang, Diange Yang:
Are All Data Necessary? Efficient Data Pruning for Large-scale Autonomous Driving Dataset via Trajectory Entropy Maximization. CoRR abs/2512.19270 (2025) - [i4]Qian Cheng, Weitao Zhou, Cheng Jing, Nanshan Deng, Junze Wen, Zhaoyang Liu, Kun Jiang, Diange Yang:
LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving. CoRR abs/2512.24712 (2025) - 2024
- [c7]Zelin Qian, Kun Jiang, Zhong Cao, Kangan Qian, Yiliang Xu, Weitao Zhou, Diange Yang:
SPIDER: Self-Driving Planners and Intelligent Decision-Making Engines with Reusability. ITSC 2024: 937-944 - 2023
- [j4]Zhong Cao, Kun Jiang, Weitao Zhou, Shaobing Xu, Huei Peng, Diange Yang:
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning. Nat. Mac. Intell. 5(2): 145-158 (2023) - [j3]Weitao Zhou, Zhong Cao, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Dynamically Conservative Self-Driving Planner for Long-Tail Cases. IEEE Trans. Intell. Transp. Syst. 24(3): 3476-3488 (2023) - [j2]Weitao Zhou, Zhong Cao, Nanshan Deng, Kun Jiang, Diange Yang:
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(8): 7932-7942 (2023) - [j1]Zhong Cao, Xiang Li, Kun Jiang, Weitao Zhou, Xiaoyu Liu, Nanshan Deng, Diange Yang:
Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case. IEEE Trans. Intell. Veh. 8(2): 1380-1391 (2023) - [c6]Zelin Qian, Kun Jiang, Weitao Zhou, Junze Wen, Cheng Jing, Zhong Cao, Diange Yang:
An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation. ITSC 2023: 4730-4737 - [i3]Weitao Zhou, Zhong Cao, Nanshan Deng, Kun Jiang, Diange Yang:
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving. CoRR abs/2305.07487 (2023) - [i2]Weitao Zhou, Zhong Cao, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Dynamically Conservative Self-Driving Planner for Long-Tail Cases. CoRR abs/2305.07497 (2023) - 2022
- [c5]Weitao Zhou, Zhong Cao, Yunkang Xu, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. ITSC 2022: 1275-1282 - [i1]Weitao Zhou, Zhong Cao, Yunkang Xu, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. CoRR abs/2207.00788 (2022) - 2021
- [c4]Nanshan Deng, Zhong Cao, Weitao Zhou, Kun Jiang, Diange Yang:
Adapt the Driving Policy to Local Traffic before Entering the New Area. ITSC 2021: 798-803 - [c3]Zhong Cao, Jiaxin Liu, Weitao Zhou, Xinyu Jiao, Diange Yang:
LiDAR-based Object Detection Failure Tolerated Autonomous Driving Planning System. IV 2021: 122-128 - 2020
- [c2]Weitao Zhou, Kun Jiang, Zhong Cao, Nanshan Deng, Diange Yang:
Integrating Deep Reinforcement Learning with Optimal Trajectory Planner for Automated Driving. ITSC 2020: 1-8
2010 – 2019
- 2012
- [c1]Yue Liu, Lin Dai, Weitao Zhou, Heyan Huang:
Active Learning for Cross Language Text Categorization. PAKDD (1) 2012: 195-206
Coauthor Index
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