Weixin Mao

According to our database, Weixin Mao authored at least 24 papers between 2022 and 2026.

Collaborative distances:

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

2026

BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model.

Haosheng Li, Weixin Mao, Zihan Lan, Hongwei Xiong, Hongan Wang, Chenyang Si, Ziwei Liu, Xiaoming Deng, Hua Chen

IEEE Robotics Autom. Lett., May, 2026

EMKG: Embodied Memory Knowledge Graphs for Object-Goal Navigation in Dynamic Open Worlds.

Mingyi Li, Hui Liu, Ying Li, Shubo Zhang, Chunle Gao, Xiaokang Ma, Hanqing Hu, Weixin Mao

IEEE Robotics Autom. Lett., April, 2026

Long-Term Memory for VLA-based Agents in Open-World Task Execution.

Xu Huang, Weixin Mao, Yinhao Li, Hua Chen, Jiabao Zhao

CoRR, April, 2026

ARM: Advantage Reward Modeling for Long-Horizon Manipulation.

Yiming Mao, Zixi Yu, Weixin Mao, Yinhao Li, Qirui Hu, Zihan Lan, Minzhao Zhu, Hua Chen

CoRR, April, 2026

2025

See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations.

Guangyan Chen, Meiling Wang, Qi Shao, Zichen Zhou, Weixin Mao, Te Cui, Minzhao Zhu, Yinan Deng, Luojie Yang, Zhanqi Zhang, Yi Yang, Hua Chen, Yufeng Yue

CoRR, December, 2025

VAT: Vision Action Transformer by Unlocking Full Representation of ViT.

Wenhao Li, Chengwei Ma, Weixin Mao

CoRR, December, 2025

BFA: Best-Feature-Aware Fusion for Multi-View Fine-Grained Manipulation.

Zihan Lan, Weixin Mao, Haosheng Li, Le Wang, Tiancai Wang, Haoqiang Fan, Osamu Yoshie

IEEE Robotics Autom. Lett., September, 2025

PADriver: Towards Personalized Autonomous Driving.

Genghua Kou, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Ziheng Zhang, Osamu Yoshie, Tiancai Wang, Ying Li, Xiangyu Zhang

CoRR, May, 2025

PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-Based 3D Object Detection.

Weixin Mao, Tiancai Wang, Diankun Zhang, Junjie Yan, Osamu Yoshie

IEEE Trans. Intell. Veh., April, 2025

PADriver: Towards Personalized Autonomous Driving.

Genghua Kou, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Ziheng Zhang, Osamu Yoshie, Tiancai Wang, Ying Li, Xiangyu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control.

Binyuan Huang, Yuqing Wen, Yucheng Zhao, Yaosi Hu, Yingfei Liu, Fan Jia, Weixin Mao, Tiancai Wang, Chi Zhang, Chang Wen Chen, Zhenzhong Chen, Xiangyu Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Exploring Recurrent Long-Term Temporal Fusion for Multi-View 3D Perception.

Chunrui Han, Jinrong Yang, Jianjian Sun, Zheng Ge, Runpei Dong, Hongyu Zhou, Weixin Mao, Yuang Peng, Xiangyu Zhang

IEEE Robotics Autom. Lett., July, 2024

Seeing both sides: context-aware heterogeneous graph matching networks for extracting-related arguments.

Tiezheng Mao, Osamu Yoshie, Jialing Fu, Weixin Mao

Neural Comput. Appl., 2024

Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation.

Haosheng Li, Weixin Mao, Weipeng Deng, Chenyu Meng, Haoqiang Fan, Tiancai Wang, Ping Tan, Hongan Wang, Xiaoming Deng

CoRR, 2024

RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World.

Weixin Mao, Weiheng Zhong, Zhou Jiang, Dong Fang, Zhongyue Zhang, Zihan Lan, Fan Jia, Tiancai Wang, Haoqiang Fan, Osamu Yoshie

CoRR, 2024

SegGrasp: Zero-Shot Task-Oriented Grasping via Semantic and Geometric Guided Segmentation.

Haosheng Li, Weixin Mao, Weipeng Deng, Chenyu Meng, Rui Zhang, Fan Jia, Tiancai Wang, Haoqiang Fan, Hongan Wang, Xiaoming Deng

CoRR, 2024

Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?

Yifan Bai, Dongming Wu, Yingfei Liu, Fan Jia, Weixin Mao, Ziheng Zhang, Yucheng Zhao, Jianbing Shen, Xing Wei, Tiancai Wang, Xiangyu Zhang

CoRR, 2024

Stream Query Denoising for Vectorized HD-Map Construction.

Shuo Wang, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Zehui Chen, Tiancai Wang, Chi Zhang, Xiangyu Zhang, Feng Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

ADriver-I: A General World Model for Autonomous Driving.

Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Yuqing Wen, Chi Zhang, Xiangyu Zhang, Tiancai Wang

CoRR, 2023

GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection.

Weixin Mao, Jinrong Yang, Zheng Ge, Lin Song, Hongyu Zhou, Tiezheng Mao, Zeming Li, Osamu Yoshie

CoRR, 2023

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection.

Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Towards 3D Object Detection with 2D Supervision.

Jinrong Yang, Tiancai Wang, Zheng Ge, Weixin Mao, Xiaoping Li, Xiangyu Zhang

CoRR, 2022

PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View.

Hongyu Zhou, Zheng Ge, Weixin Mao, Zeming Li

CoRR, 2022

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection.

Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun

Proceedings of the Computer Vision - ECCV 2022, 2022