@article{hu2026itercad,title={IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing},author={Hu, Tao and Ai, Jiaxin and Wen, Licheng and Li, Xueheng and Zou, Shu and Li, Siqi and Deng, Nianchen and Cai, Xinyu and Zhou, Hongbin and Cai, Pinlong and Fu, Daocheng and Yang, Yu and Zhang, Hairong and Shi, Botian and Yang, Xuemeng},journal={arXiv preprint arXiv:2606.13368},year={2026},note={Corresponding author},keywords={Agent Frameworks, Industrial Software AI},}
Preprint
ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm
Jiaxin Ai, Tao Hu, Xuemeng Yang, and 11 more authors
@article{ai2026comact,title={ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm},author={Ai, Jiaxin and Hu, Tao and Yang, Xuemeng and Zou, Shu and Zhang, Hairong and Fu, Daocheng and Yang, Yu and Zhou, Hongbin and Deng, Nianchen and Cai, Pinlong and Wang, Zhongyuan and Shi, Botian and Zhang, Kaipeng and Wen, Licheng},journal={arXiv preprint arXiv:2606.13239},year={2026},keywords={Agent Frameworks, Industrial Software AI},}
ICML
Evolver: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
Rong Wu, Xiaoman Wang, Jianbiao Mei, and 8 more authors
@article{wu2025evolver,title={Evolver: Self-Evolving LLM Agents through an Experience-Driven Lifecycle},author={Wu, Rong and Wang, Xiaoman and Mei, Jianbiao and Cai, Pinlong and Fu, Daocheng and Yang, Cheng and Wen, Licheng and Yang, Xuemeng and Shen, Yufan and Wang, Yuxin and others},journal={arXiv preprint arXiv:2510.16079},year={2026},keywords={Agent Frameworks, Continuous Learning},}
ACL Findings
The Agent’s First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
Daocheng Fu*, Jianbiao Mei*, Rong Wu*, and 7 more authors
@article{fu2026agentsfirstday,title={The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios},author={Fu*, Daocheng and Mei*, Jianbiao and Wu*, Rong and Yang*, Xuemeng and Xu, Jia and Wang, Ding and Cai, Pinlong and Liu, Yong and Wen, Licheng and Shi, Botian},journal={arXiv preprint arXiv:2601.08173},year={2026},keywords={Agent Frameworks, Continuous Learning},}
ACL Findings
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Cheng Yang*, Xuemeng Yang*, Licheng Wen*, and 8 more authors
@article{yang2025learning,title={Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks},author={Yang*, Cheng and Yang*, Xuemeng and Wen*, Licheng and Fu, Daocheng and Mei, Jianbiao and Wu, Rong and Cai, Pinlong and Shen, Yufan and Deng, Nianchen and Shi, Botian and others},journal={arXiv preprint arXiv:2510.08002},year={2026},keywords={Agent Frameworks, Continuous Learning},}
2025
Preprint
RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection
Daocheng Fu, Jianbiao Mei, Licheng Wen, and 8 more authors
@article{fu2025re,title={RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection},author={Fu, Daocheng and Mei, Jianbiao and Wen, Licheng and Yang, Xuemeng and Yang, Cheng and Wu, Rong and Hu, Tao and Li, Siqi and Shen, Yufan and Cai, Xinyu and others},journal={arXiv preprint arXiv:2509.26048},year={2025},keywords={Agent Frameworks},}
ICCV
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
Xuemeng Yang*, Licheng Wen*, Yukai Ma*, and 11 more authors
@article{yang2025drivearena,title={DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving},author={Yang*, Xuemeng and Wen*, Licheng and Ma*, Yukai and Mei*, Jianbiao and Li*, Xin and Wei*, Tiantian and Lei, Wenjie and Fu, Daocheng and Cai, Pinlong and Dou, Min and Shi, Botian and He, Liang and Liu, Yong and Qiao, Yu},journal={arXiv preprint arXiv:2408.00415},year={2025},keywords={World Modeling, Autonomous Driving},}
2024
Preprint
DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes
Jianbiao Mei, Xuemeng Yang, Licheng Wen, and 7 more authors
@article{mei2024dreamforge,title={DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes},author={Mei, Jianbiao and Yang, Xuemeng and Wen, Licheng and Hu, Tao and Yang, Yu and Ma, Yukai and Wei, Tiantian and Dou, Min and Shi, Botian and Liu, Yong},journal={arXiv preprint arXiv:2409.04003},year={2024},keywords={World Modeling, Autonomous Driving}}
RA-L
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
Yukai Ma, Jianbiao Mei, Xuemeng Yang, and 6 more authors
@article{ma2024licrocc,title={LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera},author={Ma, Yukai and Mei, Jianbiao and Yang, Xuemeng and Wen, Licheng and Xu, Weihua and Zhang, Jiangning and Zuo, Xingxing and Shi, Botian and Liu, Yong},journal={IEEE Robotics and Automation Letters},year={2024},keywords={Autonomous Driving}}
NeurIPS
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
Tao Ma, Hongbin Zhou, Qiusheng Huang, and 7 more authors
@article{ma2024zopp,title={ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving},author={Ma, Tao and Zhou, Hongbin and Huang, Qiusheng and Yang, Xuemeng and Guo, Jianfei and Zhang, Bo and Dou, Min and Qiao, Yu and Shi, Botian and Li, Hongsheng},journal={arXiv preprint arXiv:2411.05311},year={2024},keywords={Autonomous Driving}}
NeurIPS
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
Jianbiao Mei*, Yukai Ma*, Xuemeng Yang, and 8 more authors
@article{mei2024continuously,title={Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving},author={Mei*, Jianbiao and Ma*, Yukai and Yang, Xuemeng and Wen, Licheng and Cai, Xinyu and Li, Xin and Fu, Daocheng and Zhang, Bo and Cai, Pinlong and Dou, Min and others},journal={arXiv preprint arXiv:2405.15324},year={2024},keywords={Continuous Learning, Autonomous Driving},}
ICLR Workshop
On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
Licheng Wen*, Xuemeng Yang*, Daocheng Fu*, and 8 more authors
In ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
@inproceedings{wen2024road,title={On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent},author={Wen*, Licheng and Yang*, Xuemeng and Fu*, Daocheng and Wang*, Xiaofeng and Cai, Pinlong and Li, Xin and Tao, MA and Li, Yingxuan and Linran, XU and Shang, Dengke and others},booktitle={ICLR 2024 Workshop on Large Language Model (LLM) Agents},year={2024},keywords={Autonomous Driving},}
@article{li2023towards,title={Towards knowledge-driven autonomous driving},author={Li, Xin and Bai, Yeqi and Cai, Pinlong and Wen, Licheng and Fu, Daocheng and Zhang, Bo and Yang, Xuemeng and Cai, Xinyu and Ma, Tao and Guo, Jianfei and others},journal={arXiv preprint arXiv:2312.04316},year={2023},keywords={Autonomous Driving}}
ICCV
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Tao Ma, Xuemeng Yang, Hongbin Zhou, and 8 more authors
@article{ma2023detzero,title={DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds},author={Ma, Tao and Yang, Xuemeng and Zhou, Hongbin and Li, Xin and Shi, Botian and Liu, Junjie and Yang, Yuchen and Liu, Zhizheng and He, Liang and Qiao, Yu and others},journal={arXiv preprint arXiv:2306.06023},year={2023},keywords={Autonomous Driving},}
IROS
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Jianbiao Mei, Yu Yang, Mengmeng Wang, and 3 more authors
@article{mei2023ssc,title={SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion},author={Mei, Jianbiao and Yang, Yu and Wang, Mengmeng and Huang, Tianxin and Yang, Xuemeng and Liu, Yong},journal={arXiv preprint arXiv:2306.15349},keywords={Autonomous Driving},year={2023}}
2022
ECCV
Learning to train a point cloud reconstruction network without matching
Tianxin Huang, Xuemeng Yang, Jiangning Zhang, and 5 more authors
@inproceedings{huang2022learning,title={Learning to train a point cloud reconstruction network without matching},author={Huang, Tianxin and Yang, Xuemeng and Zhang, Jiangning and Cui, Jinhao and Zou, Hao and Chen, Jun and Zhao, Xiangrui and Liu, Yong},booktitle={European Conference on Computer Vision},pages={179--194},year={2022},organization={Springer},keywords={Autonomous Driving},}
TMM
Adaptive Recurrent Forward Network for Dense Point Cloud Completion
Tianxin Huang, Hao Zou, Jinhao Cui, and 4 more authors
@article{huang2022adaptive,title={Adaptive Recurrent Forward Network for Dense Point Cloud Completion},author={Huang, Tianxin and Zou, Hao and Cui, Jinhao and Zhang, Jiangning and Yang, Xuemeng and Li, Lin and Liu, Yong},journal={IEEE Transactions on Multimedia},year={2022},publisher={IEEE},keywords={Autonomous Driving}}
2021
IROS
Semantic segmentation-assisted scene completion for lidar point clouds
Xuemeng Yang, Hao Zou, Xin Kong, and 5 more authors
In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
@inproceedings{yang2021semantic,title={Semantic segmentation-assisted scene completion for lidar point clouds},author={Yang, Xuemeng and Zou, Hao and Kong, Xin and Huang, Tianxin and Liu, Yong and Li, Wanlong and Wen, Feng and Zhang, Hongbo},booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={3555--3562},year={2021},organization={IEEE},keywords={Autonomous Driving},}
IROS
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion
Hao Zou, Xuemeng Yang, Tianxin Huang, and 5 more authors
In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
@inproceedings{zou2021up,title={Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion},author={Zou, Hao and Yang, Xuemeng and Huang, Tianxin and Zhang, Chujuan and Liu, Yong and Li, Wanlong and Wen, Feng and Zhang, Hongbo},booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={16--23},year={2021},organization={IEEE},keywords={Autonomous Driving}}
ICCV
Rfnet: Recurrent forward network for dense point cloud completion
Tianxin Huang, Hao Zou, Jinhao Cui, and 7 more authors
In Proceedings of the IEEE/CVF international conference on computer vision, 2021
@inproceedings{huang2021rfnet,title={Rfnet: Recurrent forward network for dense point cloud completion},author={Huang, Tianxin and Zou, Hao and Cui, Jinhao and Yang, Xuemeng and Wang, Mengmeng and Zhao, Xiangrui and Zhang, Jiangning and Yuan, Yi and Xu, Yifan and Liu, Yong},booktitle={Proceedings of the IEEE/CVF international conference on computer vision},pages={12508--12517},year={2021},keywords={Autonomous Driving}}
2020
IROS
Semantic graph based place recognition for 3d point clouds
Xin Kong, Xuemeng Yang, Guangyao Zhai, and 6 more authors
In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
@inproceedings{kong2020semantic,title={Semantic graph based place recognition for 3d point clouds},author={Kong, Xin and Yang, Xuemeng and Zhai, Guangyao and Zhao, Xiangrui and Zeng, Xianfang and Wang, Mengmeng and Liu, Yong and Li, Wanlong and Wen, Feng},booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={8216--8223},year={2020},organization={IEEE},keywords={Autonomous Driving},}