Yunzhu Li

Orcid: 0000-0002-1111-2150

According to our database1, Yunzhu Li authored at least 59 papers between 2016 and 2024.

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Bibliography

2024
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks.
Int. J. Robotics Res., 2024

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.
CoRR, 2024

Compositional Physical Reasoning of Objects and Events from Videos.
CoRR, 2024

AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation.
CoRR, 2024

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing.
CoRR, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.
CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.
CoRR, 2024

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Executable Code Actions Elicit Better LLM Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.
Proceedings of the Computer Vision - ECCV 2024, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.
Proceedings of the International Conference on 3D Vision, 2024

2023
Algorithms and Systems for Manipulating Multiple Objects.
IEEE Trans. Robotics, February, 2023

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System.
Remote. Sens., 2023

D<sup>3</sup>Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation.
CoRR, 2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects.
CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

Dynamic-Resolution Model Learning for Object Pile Manipulation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-Based Control with Sparse Neural Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Research on the Design of Weighing Scale Based on Health Management During Pregnancy.
Proceedings of the Design, User Experience, and Usability, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools.
Proceedings of the Conference on Robot Learning, 2023

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.
Proceedings of the Conference on Robot Learning, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.
Proceedings of the Conference on Robot Learning, 2023

2022
Learning Structured World Models From and For Physical Interactions
PhD thesis, 2022

Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?
CoRR, 2022

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Reinforcement Learning with Neural Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.
Proceedings of the Conference on Robot Learning, 2022

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.
Proceedings of the Conference on Robot Learning, 2022

Discrete Approximate Information States in Partially Observable Environments.
Proceedings of the American Control Conference, 2022

2021
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Neural Scene Representations for Visuomotor Control.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Deep Learning for Nanofluid Field Reconstruction in Experimental Analysis.
IEEE Access, 2020

Causal Discovery in Physical Systems from Videos.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Visual Grounding of Learned Physical Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Compositional Koopman Operators for Model-Based Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning the signatures of the human grasp using a scalable tactile glove.
Nat., 2019

Propagation Networks for Model-Based Control Under Partial Observation.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.
Proceedings of the 7th International Conference on Learning Representations, 2019

Connecting Touch and Vision via Cross-Modal Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017
Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.
CoRR, 2017

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Face Detection with End-to-End Integration of a ConvNet and a 3D Model.
CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.
Proceedings of the Computer Vision - ECCV 2016, 2016


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