Publications

2025

1. 

   Rebot: Scaling robot learning with real-to-sim-to-real robotic video synthesis

   Yu Fang, Yue Yang, Xinghao Zhu, and 4 more authors

   Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

2. 

   BOSS: Benchmark for Observation Space Shift in Long-Horizon Task

   Yue Yang, Linfeng Zhao, Mingyu Ding, and 2 more authors

   IEEE Robotics and Automation Letters (RA-L), 2025

   PDF

3. 

   Supporting Long-Horizon Tasks in Human-Robot Collaboration by Aligning Intentions via Augmented Reality

   Chenyang Ma, Yue Yang, Bryce Ikeda, and 1 more author

   In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025

2024

1. 

   ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning

   Yue Yang, Bryce Ikeda, Gedas Bertasius, and 1 more author

   In Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

   Bib PDF

   @inproceedings{yang2024arcade,
     title = {ARCADE: Scalable Demonstration Collection and Generation via Augmented Reality for Imitation Learning},
     author = {Yang, Yue and Ikeda, Bryce and Bertasius, Gedas and Szafir, Daniel},
     booktitle = {Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     year = {2024},
   }

2. 

   Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding

   Yue Yang, Letian Chen, Zulfiqar Zaidi, and 3 more authors

   In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024

   Bib PDF

   @inproceedings{yang2024enhancing,
     title = {Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding},
     author = {Yang, Yue and Chen, Letian and Zaidi, Zulfiqar and van Waveren, Sanne and Krishna, Arjun and Gombolay, Matthew},
     booktitle = {Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
     pages = {820--829},
     year = {2024},
   }

3. 

   Augmented Reality Demonstrations for Scalable Robot Imitation Learning

   Yue Yang, Bryce Ikeda, Gedas Bertasius, and 1 more author

   In 7th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI), 2024

   Bib PDF

   @inproceedings{yang2024augmented,
     title = {Augmented Reality Demonstrations for Scalable Robot Imitation Learning},
     author = {Yang, Yue and Ikeda, Bryce and Bertasius, Gedas and Szafir, Daniel},
     booktitle = {7th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions (VAM-HRI)},
     year = {2024},
   }

4. 

   Annotated Hands for Generative Models

   Yue Yang, Atith N Gandhi, and Greg Turk

   arXiv preprint arXiv:2401.15075, 2024

   Bib PDF

   @article{yang2024annotated,
     title = {Annotated Hands for Generative Models},
     author = {Yang, Yue and Gandhi, Atith N and Turk, Greg},
     journal = {arXiv preprint arXiv:2401.15075},
     year = {2024},
   }

2022

1. 

   Safe Inverse Reinforcement Learning via Control Barrier Function

   Yue Yang, Letian Chen, and Matthew Gombolay

   In Proceedings of CoRL Learning for Agile Robotics workshop, 2022

   Bib PDF

   @inproceedings{yue2022cbfirl,
     title = {Safe Inverse Reinforcement Learning via Control Barrier Function},
     author = {Yang, Yue and Chen, Letian and Gombolay, Matthew},
     booktitle = {Proceedings of CoRL Learning for Agile Robotics workshop},
     year = {2022},
   }

2020

1. 

   Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications

   Yue Yang and Pengtao Xie

   arXiv preprint arXiv:2010.03468, 2020

   Bib PDF

   @article{yang2020discriminative,
     title = {Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications},
     author = {Yang, Yue and Xie, Pengtao},
     journal = {arXiv preprint arXiv:2010.03468},
     year = {2020},
   }

2. 

   Transfer learning or self-supervised learning? A tale of two pretraining paradigms

   Xingyi Yang, Xuehai He, Yuxiao Liang, and 3 more authors

   arXiv preprint arXiv:2007.04234, 2020

   Bib PDF

   @article{yang2020transfer,
     title = {Transfer learning or self-supervised learning? A tale of two pretraining paradigms},
     author = {Yang, Xingyi and He, Xuehai and Liang, Yuxiao and Yang, Yue and Zhang, Shanghang and Xie, Pengtao},
     journal = {arXiv preprint arXiv:2007.04234},
     year = {2020},
   }

3. EMNLP’ 20

   MedDialog: Large-scale medical dialogue dataset

   Guangtao Zeng, Wenmian Yang, Zeqian Ju, and 8 more authors

   In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

   Bib PDF

   @inproceedings{zeng2020meddialog,
     title = {MedDialog: Large-scale medical dialogue dataset},
     author = {Zeng, Guangtao and Yang, Wenmian and Ju, Zeqian and Yang, Yue and Wang, Sicheng and Zhang, Ruisi and Zhou, Meng and Zeng, Jiaqi and Dong, Xiangyu and Zhang, Ruoyu and others},
     booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
     year = {2020},
   }