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2020 – today
- 2024
[c26]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- [c25]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR 2024 - [c24]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. ICML 2024 - [c23]Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan:
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. ICML 2024 - [c22]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: 2774-2782 - [c21]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: 6687-6694 - [i30]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 abs/2402.19464 (2024) - [i29]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR abs/2403.17124 (2024) - [i28]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 abs/2404.01924 (2024) - [i27]Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus:
Probing Multimodal LLMs as World Models for Driving. CoRR abs/2405.05956 (2024) - [i26]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 abs/2405.09783 (2024) - [i25]Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus:
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. CoRR abs/2406.04300 (2024) - [i24]Wei Xiao, Tsun-Hsuan Wang, Daniela Rus:
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning. CoRR abs/2406.13025 (2024) - [i23]Huy-Dung Nguyen, Anass Bairouk, Mirjana Maras, Wei Xiao, Tsun-Hsuan Wang, Patrick Chareyre, Ramin M. Hasani, Marc Blanchon, Daniela Rus:
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference. CoRR abs/2409.10095 (2024) - [i22]Fouad Makiyeh, Mark Bastourous, Anass Bairouk, Wei Xiao, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus:
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering. CoRR abs/2409.12716 (2024) - 2023
- [j2]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): 2289-2307 (2023) - [c20]Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL 2023: 602-641 - [c19]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. ICLR 2023 - [c18]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 - [c17]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: 38100-38124 - [c16]Annan Zhang, Tsun-Hsuan Wang, Ryan L. Truby, Lillian Chin, Daniela Rus:
Machine Learning Best Practices for Soft Robot Proprioception. IROS 2023: 2564-2571 - [c15]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: 6334-6341 - [c14]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: 1099-1111 - [c13]Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus:
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS 2023 - [c12]Tsun-Hsuan Johnson 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. NeurIPS 2023 - [i21]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 abs/2303.09555 (2023) - [i20]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 abs/2304.02733 (2023) - [i19]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 abs/2305.10455 (2023) - [i18]Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR abs/2306.00148 (2023) - [i17]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 abs/2310.17642 (2023) - [i16]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 abs/2311.01455 (2023) - [i15]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 abs/2311.17053 (2023) - 2022
- [j1]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): 3265-3272 (2022) - [c11]Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus:
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS 2022: 1744-1746 - [c10]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: 2419-2426 - [c9]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. ICRA 2022: 7745-7752 - [c8]Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola:
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. NeurIPS 2022 - [i14]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 abs/2203.02401 (2022) - [i13]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. CoRR abs/2209.12951 (2022) - [i12]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 abs/2210.04303 (2022) - [i11]Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Forward Invariance of Neural ODEs. CoRR abs/2210.04763 (2022) - [i10]Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Interpreting Neural Policies with Disentangled Tree Representations. CoRR abs/2210.06650 (2022) - [i9]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 abs/2212.11084 (2022) - 2021
- [c7]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. ICCV 2021: 7748-7757 - [i8]James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. CoRR abs/2101.06560 (2021) - [i7]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 abs/2111.12083 (2021) - [i6]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. CoRR abs/2111.12137 (2021) - 2020
- [c6]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: 605-621 - [i5]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 abs/2008.07519 (2020)
2010 – 2019
- 2019
- [c5]Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun:
Point-to-Point Video Generation. ICCV 2019: 10490-10499 - [c4]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: 5880-5886 - [c3]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: 5895-5902 - [i4]Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun:
Point-to-Point Video Generation. CoRR abs/1904.02912 (2019) - [i3]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 abs/1904.02917 (2019) - 2018
- [c2]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: 352-369 - [c1]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: 2341-2348 - [i2]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 abs/1803.04228 (2018) - [i1]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 abs/1808.01725 (2018)
Coauthor Index
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