Yinfeng Gao

According to our database, Yinfeng Gao authored at least 20 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PerlAD: Towards Enhanced Closed-Loop End-to-End Autonomous Driving With Pseudo-Simulation-Based Reinforcement Learning.

Yinfeng Gao, Qichao Zhang, Deqing Liu, Zhongpu Xia, Guang Li, Kun Ma, Guang Chen, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao

IEEE Robotics Autom. Lett., May, 2026

PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance.

Yupeng Zheng, Xiang Li, Songen Gu, Yuhang Zheng, Shuai Tian, Weize Li, Linbo Wang, Senyu Fei, Pengfei Li, Yinfeng Gao, Zebin Xing, Yilun Chen, Qichao Zhang, Haoran Li, Wenchao Ding

CoRR, April, 2026

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.

Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li, Guang Li, Lingdong Kong, Yingyan Li, Han Wang, Shaoqing Xu, Yuechen Luo, Fang Li, Chenxu Dang, Junli Wang, Tao Xu, Jing Wu, Jianhua Wu, Xiaoshuai Hao, Wen Zhang, Tianyi Jiang, Lingfeng Zhang, Lei Zhou, Yingbo Tang, Jie Wang, Yinfeng Gao, Xizhou Bu, Haochen Tian, Yihang Qiu, Feiyang Jia, Lin Liu, Yigu Ge, Hanbing Li, Yuannan Shen, Jianwei Cui, Hongwei Xie, Bing Wang, Haiyang Sun, Jingwei Zhao, Jiahui Huang, Pei Liu, Zeyu Zhu, Yuncheng Jiang, Zibin Guo, Chuhong Gong, Hanchao Leng, Kun Ma, Naiyang Wang, Guang Chen, Kuiyuan Yang, Hangjun Ye, Long Chen

CoRR, April, 2026

Learning from Mistakes: Post-Training for Driving VLA with Takeover Data.

Yinfeng Gao, Deqing Liu, Qichao Zhang, Yupeng Zheng, Haochen Tian, Guang Li, Hangjun Ye, Long Chen, Da-Wei Ding, Dongbin Zhao

CoRR, March, 2026

TakeAD: Preference-Based Post-Optimization for End-to-End Autonomous Driving With Expert Takeover Data.

Deqing Liu, Yinfeng Gao, Deheng Qian, Qichao Zhang, Xiaoqing Ye, Junyu Han, Yupeng Zheng, Xueyi Liu, Zhongpu Xia, Dawei Ding, Yifeng Pan, Dongbin Zhao

IEEE Robotics Autom. Lett., February, 2026

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.

Pengxuan Yang, Ben Lu, Zhongpu Xia, Chao Han, Yinfeng Gao, Teng Zhang, Kun Zhan, Xianpeng Lang, Yupeng Zheng, Qichao Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.

Pengxuan Yang, Ben Lu, Zhongpu Xia, Chao Han, Yinfeng Gao, Teng Zhang, Kun Zhan, XianPeng Lang, Yupeng Zheng, Qichao Zhang

CoRR, December, 2025

TrajMoE: Scene-Adaptive Trajectory Planning with Mixture of Experts and Reinforcement Learning.

Zebin Xing, Pengxuan Yang, Linbo Wang, Yichen Zhang, Yiming Hu, Yupeng Zheng, Junli Wang, Yinfeng Gao, Guang Li, Kun Ma, Long Chen, Zhongpu Xia, Qichao Zhang, Hangjun Ye, Dongbin Zhao

CoRR, December, 2025

SimScale: Learning to Drive via Real-World Simulation at Scale.

Haochen Tian, Tianyu Li, Haochen Liu, Jiazhi Yang, Yihang Qiu, Guang Li, Junli Wang, Yinfeng Gao, Zhang Zhang, Liang Wang, Hangjun Ye, Tieniu Tan, Long Chen, Hongyang Li

CoRR, November, 2025

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model.

Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Dongbin Zhao

CoRR, July, 2025

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving.

Xueyi Liu, Zuodong Zhong, Yuxin Guo, Yun-Fu Liu, Zhiguo Su, Qichao Zhang, Junli Wang, Yinfeng Gao, Yupeng Zheng, Qiao Lin, Huiyong Chen, Dongbin Zhao

CoRR, May, 2025

World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model.

Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, Xianpeng Lang, Dongbin Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Dream to Drive With Predictive Individual World Model.

Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao

IEEE Trans. Intell. Veh., December, 2024

Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks.

Yuqi Liu, Qichao Zhang, Yinfeng Gao, Dongbin Zhao

IEEE Trans. Cogn. Dev. Syst., October, 2024

2023

Multi-task safe reinforcement learning for navigating intersections in dense traffic.

Yuqi Liu, Yinfeng Gao, Qichao Zhang, Dawei Ding, Dongbin Zhao

J. Frankl. Inst., November, 2023

Low saliency crack detection based on improved multimodal object detection network: an example of wind turbine blade inner surface.

Yinfeng Gao, Shijie Dai, Wenbin Ji, Ruiqin Wang

J. Electronic Imaging, 2023

PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic.

Xueyi Liu, Qichao Zhang, Yinfeng Gao, Zhongpu Xia

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving.

Qichao Zhang, Yinfeng Gao, Yikang Zhang, Youtian Guo, Dawei Ding, Yunpeng Wang, Peng Sun, Dongbin Zhao

IEEE Trans. Intell. Transp. Syst., 2022

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data.

Xing Fang, Qichao Zhang, Yinfeng Gao, Dongbin Zhao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2006

Chain Sampling Scheme under Constant Inspection Errors.

Yinfeng Gao, Loon Ching Tang

Qual. Reliab. Eng. Int., 2006