[Johnson :)]
Johnson Tsun-Hsuan Wang
PhD, MIT CSAIL
Email: tsunw (at) mit (dot) edu
Biography
Johnson Tsun-Hsuan Wang (王尊玄) is final-year PhD at MIT CSAIL, advised by Prof. Daniela Rus. [TBU...]
News
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Research Highlights
[TBU...]
@article{xiao2023safediffuser,
  title={SafeDiffuser: Safe Planning with Diffusion Probabilistic Models},
  author={Xiao, Wei and Wang, Tsun-Hsuan and Gan, Chuang and Rus, Daniela},
  journal={arXiv preprint arXiv:2306.00148},
  year={2023}
}
@inproceedings{
	lin2024ubsoft,
	title={{UBS}oft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments},
	author={Chunru Lin and Jugang Fan and Yian Wang and Zeyuan Yang and Zhehuan Chen and Lixing Fang and Tsun-Hsuan Wang and Zhou Xian and Chuang Gan},
	booktitle={8th Annual Conference on Robot Learning},
	year={2024},
	url={https://openreview.net/forum?id=7vzDBvviRO}
}
@inproceedings{
	wang2024architect,
	title={Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting},
	author={Yian Wang and Xiaowen Qiu and Jiageng Liu and Zhehuan Chen and Jiting Cai and Yufei Wang and Tsun-Hsuan Wang and Zhou Xian and Chuang Gan},
	booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
	year={2024},
	url={https://openreview.net/forum?id=JHg9eNuw6p}
}
@article{nguyen2024text,
  title={Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models},
  author={Nguyen, Phat and Wang, Tsun-Hsuan and Hong, Zhang-Wei and Karaman, Sertac and Rus, Daniela},
  journal={arXiv preprint arXiv:2406.04300},
  year={2024}
}
@inproceedings{ma2024llm,
  title={LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery},
  author={Ma, Pingchuan and Wang, Tsun-Hsuan and Guo, Minghao and Sun, Zhiqing and Tenenbaum, Joshua B and Rus, Daniela and Gan, Chuang and Matusik, Wojciech},
  booktitle={International Conference on Machine Learning},
  year={2024},
  organization={PMLR}
}
@article{wang2023robogen,
  title={RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation},
  author={Wang, Yufei and Xian, Zhou and Chen, Feng and Wang, Tsun-Hsuan and Wang, Yian and Fragkiadaki, Katerina and Erickson, Zackory and Held, David and Gan, Chuang},
  journal={arXiv preprint arXiv:2311.01455},
  year={2023}
}
@article{wang2023drive,
  title={Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models},
  author={Wang, Tsun-Hsuan and Maalouf, Alaa and Xiao, Wei and Ban, Yutong and Amini, Alexander and Rosman, Guy and Karaman, Sertac and Rus, Daniela},
  journal={arXiv preprint arXiv:2310.17642},
  year={2023}
}
@article{wang2023diffusebot,
	title={{DiffuseBot}: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models},
	author={Wang, Tsun-Hsuan Johnson and Zheng, Juntian and Ma, Pingchuan and Du, Yilun and Kim, Byungchul and Spielberg, Andrew and Tenenbaum, Josh and Gan, Chuang and Rus, Daniela},
	journal={Advances in Neural Information Processing Systems},
	volume={36},
	year={2023}
}
@inproceedings{lechner2023gigastep,
  author={Mathias Lechner and Lianhao Yin and Tim Seyde and Tsun-Hsuan Wang and Wei Xiao and Ramin Hasani and Joshua Rountree and Daniela Rus},
  title={Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2023},
  url={https://openreview.net/forum?id=UgPAaEugH3}
}
@article{xian2023towards,
  title={Towards generalist robots: A promising paradigm via generative simulation},
  author={Xian, Zhou and Gervet, Theophile and Xu, Zhenjia and Qiao, Yi-Ling and Wang, Tsun-Hsuan and Wang, Yian},
  journal={arXiv preprint arXiv:2305.10455},
  year={2023}
}
@inproceedings{
  wang2023measuring,
  title={Measuring Interpretability of Neural Policies of Robots with Disentangled Representation},
  author={Tsun-Hsuan Wang and Wei Xiao and Tim Seyde and Ramin Hasani and Daniela Rus},
  booktitle={7th Annual Conference on Robot Learning},
  year={2023},
  url={https://openreview.net/forum?id=6kSohKYYTn0}
}
@inproceedings{zhang2023machine,
  title={Machine Learning Best Practices for Soft Robot Proprioception},
  author={Zhang, Annan and Wang, Tsun-Hsuan and Truby, Ryan L and Chin, Lillian and Rus, Daniela},
  booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2023},
  organization={IEEE}
}
@inproceedings{xiao2023inv,
  title = {On the Forward Invariance of Neural ODEs},
  author = {Wei Xiao and Tsun-Hsuan Wang and Ramin Hasani and Mathias Lechner and Yutong Ban and Chuang Gan and Daniela Rus},
  booktitle = {International Conference on Machine Learning},
  year = {2023}
}
@inproceedings{
  wang2023softzoo,
  title={SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments},
  author={Tsun-Hsuan Wang and Pingchuan Ma and Andrew Everett Spielberg and Zhou Xian and Hao Zhang and Joshua B. Tenenbaum and Daniela Rus and Chuang Gan},
  booktitle={The Eleventh International Conference on Learning Representations },
  year={2023},
  url={https://openreview.net/forum?id=Xyme9p1rpZw}
}
@article{hasani2022liquid,
  title={Liquid structural state-space models},
  author={Hasani, Ramin and Lechner, Mathias and Wang, Tsun-Hsuan and Chahine, Makram and Amini, Alexander and Rus, Daniela},
  journal={arXiv preprint arXiv:2209.12951},
  year={2022}
}
@inproceedings{wang2023learning,
  title={Learning stability attention in vision-based end-to-end driving policies},
  author={Wang, Tsun-Hsuan and Xiao, Wei and Chahine, Makram and Amini, Alexander and Hasani, Ramin and Rus, Daniela},
  booktitle={Learning for Dynamics and Control Conference},
  pages={1099--1111},
  year={2023},
  organization={PMLR}
}
@article{xiao2023barriernet,
  title={Barriernet: Differentiable control barrier functions for learning of safe robot control},
  author={Xiao, Wei and Wang, Tsun-Hsuan and Hasani, Ramin and Chahine, Makram and Amini, Alexander and Li, Xiao and Rus, Daniela},
  journal={IEEE Transactions on Robotics},
  volume={39},
  number={3},
  pages={2289--2307},
  year={2023},
  publisher={IEEE}
}
@inproceedings{amini2022vista,
  title={Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles},
  author={Amini, Alexander and Wang, Tsun-Hsuan and Gilitschenski, Igor and Schwarting, Wilko and Liu, Zhijian and Han, Song and Karaman, Sertac and Rus, Daniela},
  booktitle={2022 International Conference on Robotics and Automation (ICRA)},
  pages={2419--2426},
  year={2022},
  organization={IEEE}
}
@inproceedings{wang2022learning,
  title={Learning interactive driving policies via data-driven simulation},
  author={Wang, Tsun-Hsuan and Amini, Alexander and Schwarting, Wilko and Gilitschenski, Igor and Karaman, Sertac and Rus, Daniela},
  booktitle={2022 International Conference on Robotics and Automation (ICRA)},
  pages={7745--7752},
  year={2022},
  organization={IEEE}
}
@article{tylkin2022interpretable,
  title={Interpretable Autonomous Flight via Compact Visualizable Neural Circuit Policies},
  author={Tylkin, Paul and Wang, Tsun-Hsuan and Palko, Kyle and Allen, Ross and Siu, Ho Chit and Wrafter, Daniel and Seyde, Tim Niklas and Amini, Alexander and Rus, Daniela},
  journal={IEEE Robotics and Automation Letters},
  year={2022},
  publisher={IEEE}
}
@inproceedings{tylkin2022autonomous,
	title={Autonomous Flight Arcade Challenge: Single-and Multi-Agent Learning Environments for Aerial Vehicles},
	author={Tylkin, Paul and Wang, Tsun-Hsuan and Seyde, Tim and Palko, Kyle and Allen, Ross and Amini, Alexander and Rus, Daniela},
	booktitle={Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems},
	pages={1744--1746},
	year={2022}
}
@InProceedings{Tu_2021_ICCV,
  author = {Tu, James and Wang, Tsunhsuan and Wang, Jingkang and Manivasagam, Sivabalan and Ren, Mengye and Urtasun, Raquel},
  title = {Adversarial Attacks on Multi-Agent Communication},
  booktitle = {ICCV},
  month = {October},
  year = {2021},
  pages = {7768-7777}
}
@inproceedings{wang2020v2vnet,
  Author = {Wang, Tsun-Hsuan and Manivasagam, Sivabalan and Liang, Ming and Bin, Yang and Zeng, Wenyuan and Tu, James and Urtasun, Raquel},
  Title = {V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction},
  Booktitle = {ECCV},
  Year = {2020}
}
@inproceedings{wang2019p2pvg,
  Author = {Wang, Tsun-Hsuan and Cheng, Yen-Chi and Lin, Chieh Hubert and Chen, Hwann-Tzong and Sun, Min},
  Title = {Point-to-Point Video Generation},
  Booktitle = {ICCV},
  Year = {2019}
}
@inproceedings{wang2019ccvnorm,
  Author = {Wang, Tsun-Hsuan and Hu, Hou-Ning and Lin, Chieh Hubert and Tsai, Yi-Hsuan and Chiu, Wei-Chen and Sun, Min},
  Title = {3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization},
  Booktitle = {IROS},
  Year = {2019}
}
@inproceedings{wang2019pnpdepth,
  Author = {Wang, Tsun-Hsuan and Wang, Fu-En and Lin, Juan-Ting and Tsai, Yi-Hsuan and Chiu, Wei-Chen and Sun, Min},
  Title = {Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation},
  Booktitle = {ICRA},
  Year = {2019}
}
@inproceedings{wu2019pouring,
  Author = {Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuan and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min},
  Title = {Liquid Pouring Monitoring via Rich Sensory Inputs},
  Booktitle = {ECCV},
  Year = {2018}
}
@inproceedings{wang2019omnicnn,
  Author = {Wang, Tsun-Hsuan and Huang, Hung-Jui and Lin, Juan-Ting and Hu, Chan-Wei and Zeng, Kuo-Hao and Sun, Min},
  Title = {Omnidirectional CNN for Visual Place Recognition and Navigation},
  Booktitle = {ICRA},
  Year = {2018}
}