Tsun-Hsuan Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 51

Top Topics

Diffusion Models

Top Venues

Publications

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA (2024)
Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. CoRR (2024)
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
Curiosity-driven Red-teaming for Large Language Models. ICLR (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR (2024)
Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR (2024)
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
Curiosity-driven Red-teaming for Large Language Models. CoRR (2024)
Yao Du, Carlos M. Mateo, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Alexander Amini, Daniela Rus, Omar Tahri
Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications. CoRR (2024)
Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR (2024)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA (2024)
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
Probing Multimodal LLMs as World Models for Driving. CoRR (2024)
Wei Xiao, Tsun-Hsuan Wang, Daniela Rus
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning. CoRR (2024)
Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR (2023)
Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. CoRR (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC (2023)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. ICLR (2023)
Annan Zhang, Tsun-Hsuan Wang, Ryan L. Truby, Lillian Chin, Daniela Rus
Machine Learning Best Practices for Soft Robot Proprioception. IROS (2023)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL (2023)
Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39 (3) (2023)
Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Zackory Erickson, David Held, Chuang Gan
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. CoRR (2023)
Zhou Xian, Théophile Gervet, Zhenjia Xu, Yi-Ling Qiao, Tsun-Hsuan Wang
Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation. CoRR (2023)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus
On the Forward Invariance of Neural ODEs. ICML (2023)
Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. CoRR (2023)
Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Towards Cooperative Flight Control Using Visual-Attention. IROS (2023)
Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR (2022)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Interpreting Neural Policies with Disentangled Tree Representations. CoRR (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA (2022)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap. CoRR (2022)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. CoRR (2022)
Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Cooperative Flight Control Using Visual-Attention - Air-Guardian. CoRR (2022)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. ICRA (2022)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Forward Invariance of Neural ODEs. CoRR (2022)
Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross Allen, Alexander Amini, Daniela Rus
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS (2022)
Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7 (2) (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. ICCV (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. CoRR (2021)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. CoRR (2021)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. CoRR (2020)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. ECCV (2) (2020)
Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. IROS (2019)
Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation. ICRA (2019)
Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun
Point-to-Point Video Generation. ICCV (2019)
Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. CoRR (2019)
Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun
Point-to-Point Video Generation. CoRR (2019)
Tsun-Hsuan Wang, Hung-Jui Huang, Juan-Ting Lin, Chan-Wei Hu, Kuo-Hao Zeng, Min Sun
Omnidirectional CNN for Visual Place Recognition and Navigation. CoRR (2018)
Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuan Wang, Chan-Wei Hu, Juan Carlos Niebles, Min Sun
Liquid Pouring Monitoring via Rich Sensory Inputs. CoRR (2018)
Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuan Wang, Chan-Wei Hu, Juan Carlos Niebles, Min Sun
Liquid Pouring Monitoring via Rich Sensory Inputs. ECCV (11) (2018)
Tsun-Hsuan Wang, Hung-Jui Huang, Juan-Ting Lin, Chan-Wei Hu, Kuo-Hao Zeng, Min Sun
Omnidirectional CNN for Visual Place Recognition and Navigation. ICRA (2018)