Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection. - Hongyu Zhou; Zheng Ge; Songtao Liu; Weixin Mao; Zeming Li; Haiyan Yu; Jian Sun 001 (ECCV (9), 2022)

PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View. - Hongyu Zhou; Zheng Ge; Weixin Mao; Zeming Li (CoRR, 2022)

Towards 3D Object Detection with 2D Supervision. - Jinrong Yang; Tiancai Wang; Zheng Ge; Weixin Mao; Xiaoping Li 005; Xiangyu Zhang 005 (CoRR, 2022)

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection. - Jinrong Yang; Lin Song 002; Songtao Liu; Weixin Mao; Zeming Li; Xiaoping Li 005; Hongbin Sun 001; Jian Sun 001; Nanning Zheng 001 (ICLR, 2023)

GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection. - Weixin Mao; Jinrong Yang; Zheng Ge; Lin Song 002; Hongyu Zhou; Tiezheng Mao; Zeming Li; Osamu Yoshie (CoRR, 2023)

ADriver-I: A General World Model for Autonomous Driving. - Fan Jia; Weixin Mao; Yingfei Liu; Yucheng Zhao; Yuqing Wen; Chi Zhang 026; Xiangyu Zhang 005; Tiancai Wang (CoRR, 2023)

Stream Query Denoising for Vectorized HD-Map Construction. - Shuo Wang; Fan Jia; Weixin Mao; Yingfei Liu; Yucheng Zhao; Zehui Chen; Tiancai Wang; Chi Zhang 026; Xiangyu Zhang 005; Feng Zhao 004 (ECCV (19), 2024)

Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving? - Yifan Bai 001; Dongming Wu; Yingfei Liu; Fan Jia; Weixin Mao; Ziheng Zhang; Yucheng Zhao; Jianbing Shen; Xing Wei 001; Tiancai Wang; Xiangyu Zhang 005 (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 001 (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)

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 001 (CoRR, 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)

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 005 (IEEE Robotics Autom. Lett., 2024)

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 026; Chang Wen Chen; Zhenzhong Chen; Xiangyu Zhang 005 (AAAI, 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., 2025)

PADriver: Towards Personalized Autonomous Driving. - Genghua Kou; Fan Jia; Weixin Mao; Yingfei Liu; Yucheng Zhao; Ziheng Zhang; Osamu Yoshie; Tiancai Wang; Ying Li 036; Xiangyu Zhang 005 (CoRR, 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., 2025)