Yunzhu Li

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	Toate	Din 2020
Referințe bibliografice	6160	5843
h-index	30	30
i10-index	41	41

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Antonio TorralbaProfessor of Computer Science, MITAdresă de e-mail confirmată pe csail.mit.edu
Jiajun WuStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Joshua B. TenenbaumMITAdresă de e-mail confirmată pe mit.edu
Wojciech MatusikMITAdresă de e-mail confirmată pe csail.mit.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Russ TedrakeMIT (EECS, MechE, Aero/Astro) and Toyota Research InstituteAdresă de e-mail confirmată pe mit.edu
Yiyue LuoAssistant Professor, University of WashingtonAdresă de e-mail confirmată pe uw.edu
Michael FosheyMechanical Engineer, Massachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
Chuang GanUMass Amherst | MIT-IBM Watson AI LabAdresă de e-mail confirmată pe csail.mit.edu
Ruohan ZhangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Wan ShouUniversity of Arkansas; MIT postdoc; MST Ph.D.Adresă de e-mail confirmată pe mit.edu
Wenlong HuangStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Zhiao HuangAdresă de e-mail confirmată pe ucsd.edu
Tomás PalaciosMITAdresă de e-mail confirmată pe mit.edu
Pratyusha SharmaPhD Student, Massachusetts Institute of TechnologyAdresă de e-mail confirmată pe mit.edu
Stefano ErmonStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Jiaming SongStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Daniel YaminsAssociate Professor of Computer Science and of Psychology, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Yixuan WangColumbia UniversityAdresă de e-mail confirmată pe columbia.edu

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Yunzhu Li

Columbia University

Adresă de e-mail confirmată pe columbia.edu - Pagina de pornire

Robotics Computer Vision Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Learning the signatures of the human grasp using a scalable tactile glove S Sundaram, P Kellnhofer, Y Li, JY Zhu, A Torralba, W Matusik Nature 569 (7758), 698-702, 2019	1038	2019
Open X-Embodiment: Robotic Learning Datasets and RT-X Models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... International Conference on Robotics and Automation (ICRA), 2023	528*	2023
CLEVRER: Collision Events for Video Representation and Reasoning K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum International Conference on Learning Representations (ICLR), 2020	526	2020
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations Y Li, J Song, S Ermon Advances in Neural Information Processing Systems (NIPS), 2017	505	2017
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei Conference on Robot Learning (CoRL), 2023	475	2023
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Y Li, J Wu, R Tedrake, JB Tenenbaum, A Torralba International Conference on Learning Representations (ICLR), 2019	408	2019
Learning human–environment interactions using conformal tactile textiles Y Luo, Y Li, P Sharma, W Shou, K Wu, M Foshey, B Li, T Palacios, ... Nature Electronics 4 (3), 193-201, 2021	293	2021
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... arXiv preprint arXiv:2403.09227, 2024	191*	2024
Face Detection with End-to-End Integration of a ConvNet and a 3D Model Y Li, B Sun, T Wu, Y Wang European Conference on Computer Vision (ECCV), 420-436, 2016	175	2016
Propagation Networks for Model-Based Control Under Partial Observation Y Li, J Wu, JY Zhu, JB Tenenbaum, A Torralba, R Tedrake International Conference on Robotics and Automation (ICRA), 2019	166	2019
3D Neural Scene Representations for Visuomotor Control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning (CoRL), 2021	147	2021
Learning Compositional Koopman Operators for Model-Based Control Y Li, H He, J Wu, D Katabi, A Torralba International Conference on Learning Representations (ICLR), 2020	144	2020
Connecting Touch and Vision via Cross-Modal Prediction Y Li, JY Zhu, R Tedrake, A Torralba Computer Vision and Pattern Recognition (CVPR), 2019	137	2019
Causal Discovery in Physical Systems from Videos Y Li, A Torralba, A Anandkumar, D Fox, A Garg Neural Information Processing Systems (NeurIPS), 2020	121	2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning L Manuelli, Y Li, P Florence, R Tedrake Conference on Robot Learning (CoRL), 2020	112	2020
Executable Code Actions Elicit Better LLM Agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji International Conference on Machine Learning (ICML), 2024	104	2024
Learning Physical Graph Representations from Visual Scenes DM Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, L Fei-Fei, ... Neural Information Processing Systems (NeurIPS), 2020	95	2020
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields D Driess, Z Huang, Y Li, R Tedrake, M Toussaint Conference on Robot Learning (CoRL), 2022	89	2022
Visual Grounding of Learned Physical Models Y Li, T Lin, K Yi, D Bear, DLK Yamins, J Wu, JB Tenenbaum, A Torralba International Conference on Machine Learning (ICML), 2020	79	2020
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks H Shi, H Xu, Z Huang, Y Li, J Wu Robotics: Science and Systems (RSS), 2022	76	2022

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