Tsun-Hsuan Wang

Orcid: 0000-0002-7259-5686

According to our database¹, Tsun-Hsuan Wang authored at least 47 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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Links

On csauthors.net:

Bibliography

2024

Embodied Red Teaming for Auditing Robotic Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments.

[BibT_eX]

[DOI]

CoRR, 2024

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting.

[BibT_eX]

[DOI]

CoRR, 2024

Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering.

[BibT_eX]

[DOI]

CoRR, 2024

Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference.

[BibT_eX]

[DOI]

CoRR, 2024

ABNet: Attention BarrierNet for Safe and Scalable Robot Learning.

[BibT_eX]

[DOI]

Wei Xiao

Tsun-Hsuan Wang

Daniela Rus

CoRR, 2024

Probing Multimodal LLMs as World Models for Driving.

[BibT_eX]

[DOI]

CoRR, 2024

Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Overparametrization helps offline-to-online generalization of closed-loop control from pixels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Curiosity-driven Red-teaming for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, June, 2023

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2023

Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation.

[BibT_eX]

[DOI]

CoRR, 2023

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models.

[BibT_eX]

[DOI]

Tsun-Hsuan Johnson Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Mathias Lechner

Lianhao Yin

Tim Seyde

Tsun-Hsuan Johnson Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Stability Attention in Vision-based End-to-end Driving Policies.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Machine Learning Best Practices for Soft Robot Proprioception.

[BibT_eX]

[DOI]

IROS, 2023

Towards Cooperative Flight Control Using Visual-Attention.

[BibT_eX]

[DOI]

IROS, 2023

On the Forward Invariance of Neural ODEs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.

[BibT_eX]

[DOI]

Tsun-Hsuan Wang

Pingchuan Ma

Andrew Everett Spielberg

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Liquid Structural State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Measuring Interpretability of Neural Policies of Robots with Disentangled Representation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Cooperative Flight Control Using Visual-Attention - Air-Guardian.

[BibT_eX]

[DOI]

CoRR, 2022

Interpreting Neural Policies with Disentangled Tree Representations.

[BibT_eX]

[DOI]

CoRR, 2022

On the Forward Invariance of Neural ODEs.

[BibT_eX]

[DOI]

CoRR, 2022

Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap.

[BibT_eX]

[DOI]

CoRR, 2022

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation.

[BibT_eX]

[DOI]

Wei-Cheng Tseng

Tsun-Hsuan Johnson Wang

Yen-Chen Lin

Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Interactive Driving Policies via Data-driven Simulation.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Adversarial Attacks On Multi-Agent Communication.

[BibT_eX]

[DOI]

James Tu

Tsun-Hsuan Wang

Jingkang Wang

Sivabalan Manivasagam

Mengye Ren

Raquel Urtasun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.

[BibT_eX]

[DOI]

Tsun-Hsuan Wang

Sivabalan Manivasagam

CoRR, 2020

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.

[BibT_eX]

[DOI]

Tsun-Hsuan Wang

Sivabalan Manivasagam

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Point-to-Point Video Generation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Omnidirectional CNN for Visual Place Recognition and Navigation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Liquid Pouring Monitoring via Rich Sensory Inputs.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Tsun-Hsuan Wang

Timeline

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On csauthors.net:

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