publications

2026

1. RSS

   

   MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning

   Wenhui Huang^*, Changhe Chen^*, Han Qi, Lv Chen, Yilun Du, and Heng Yang

   Robotics: Science and Systems (RSS), 2026

   under review

   arXiv Bib Paper Website

   @article{huang2025motvla,
     title = {MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow Reasoning},
     author = {Huang, Wenhui and Chen, Changhe and Qi, Han and Chen, Lv and Du, Yilun and Yang, Heng},
     year = {2026},
     journal = {Robotics: Science and Systems (RSS)},
     note = {under review},
   }

2. ICRA

   

   Compose by Focus: Scene Graph-based Atomic Skills

   Han Qi, Changhe Chen, and Heng Yang

   In IEEE International Conference on Robotics and Automation (ICRA), 2026

   arXiv Bib Paper Website

   @inproceedings{qi2025compose,
     title = {Compose by Focus: Scene Graph-based Atomic Skills},
     author = {Qi, Han and Chen, Changhe and Yang, Heng},
     booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
     year = {2026},
   }

3. ICRA

   

   ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow

   Changhe Chen^*, Quantao Yang^*, Xiaohao Xu, Nima Fazeli, and Olov Andersson

   In IEEE International Conference on Robotics and Automation (ICRA), 2026

   EgoAct workshop, Robotics: Science and Systems (RSS) 2025

   arXiv Bib Paper Dataset Website

   @inproceedings{chen2025visaflow,
     title = {ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow},
     author = {Chen, Changhe and Yang, Quantao and Xu, Xiaohao and Fazeli, Nima and Andersson, Olov},
     booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
     year = {2026},
     note = {EgoAct workshop, Robotics: Science and Systems (RSS) 2025},
   }

4. RoboSoft

   

   Natural Selection via Foundation Models for Soft Robot Evolution

   Changhe Chen^*, Xiaohao Xu^*, Xiangdong Wang^*, Jiaqi Wang, and Xiaonan Huang

   IEEE International Conference on Soft Robotics (RoboSoft), 2026

   arXiv Bib Paper Code Dataset

   @article{chen2025softrobotdesign,
     title = {Natural Selection via Foundation Models for Soft Robot Evolution},
     author = {Chen, Changhe and Xu, Xiaohao and Wang, Xiangdong and Wang, Jiaqi and Huang, Xiaonan},
     year = {2026},
     journal = {IEEE International Conference on Soft Robotics (RoboSoft)},
   }

2024

1. ICRA

   

   CRITERIA: A New Benchmarking Paradigm to Evaluate Trajectory Prediction Approaches

   Changhe Chen, Mozhgan Pourkeshavarz, and Amir Rasouli

   In IEEE International Conference on Robotics and Automation (ICRA), 2024

   Bib Paper Code Dataset

   @inproceedings{chen2024criteria,
     title = {CRITERIA: A New Benchmarking Paradigm to Evaluate Trajectory Prediction Approaches},
     author = {Chen, Changhe and Pourkeshavarz, Mozhgan and Rasouli, Amir},
     booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
     year = {2024},
   }

2023

1. TNS

   

   Using Upsampling Conv-LSTM for Respiratory Sound Classification

   Changhe Chen and Rongbo Zhang

   Theoretical and Natural Science, 2023

   Bib Paper Code Website

   @article{chen2023respiratory,
     title = {Using Upsampling Conv-LSTM for Respiratory Sound Classification},
     author = {Chen, Changhe and Zhang, Rongbo},
     journal = {Theoretical and Natural Science},
     year = {2023},
   }

2. ICCV

   

   Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction

   Mozhgan Pourkeshavarz, Changhe Chen, and Amir Rasouli

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

   Bib Paper Dataset

   @inproceedings{pourkeshavarz2023tarot,
     title = {Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction},
     author = {Pourkeshavarz, Mozhgan and Chen, Changhe and Rasouli, Amir},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
     year = {2023},
   }