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ORCIDXingyu Lin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c15]Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel:
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Network. ICRA 2024: 4781-4787- [i21]Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. CoRR abs/2401.00025 (2024) - [i20]Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel:
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation. CoRR abs/2403.10506 (2024) - 2023
- [j4]Qian Cheng
, Xingyu Lin, Sui Peng, Junjie Tang, Ferdinanda Ponci, Antonello Monti:
Efficient and Robust Power Flow Algorithm for Asynchronous Grids Coupled Through a VSC-MTDC System and Its Probability Analysis. IEEE Syst. J. 17(2): 3270-3281 (2023) - [c14]Zixuan Huang, Xingyu Lin, David Held:
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking. ICRA 2023: 7111-7118 - [c13]Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song:
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. Robotics: Science and Systems 2023 - [i19]Zixuan Huang, Xingyu Lin, David Held:
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking. CoRR abs/2302.09502 (2023) - [i18]Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song:
RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects. CoRR abs/2302.11553 (2023) - [i17]Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel:
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks. CoRR abs/2307.03567 (2023) - [i16]Philipp Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, Pieter Abbeel:
GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators. CoRR abs/2309.13037 (2023) - [i15]Carl Qi, Sarthak J. Shetty, Xingyu Lin, David Held:
Learning Generalizable Tool-use Skills through Trajectory Generation. CoRR abs/2310.00156 (2023) - 2022
- [j3]Carl Qi, Xingyu Lin, David Held:
Learning Closed-Loop Dough Manipulation Using a Differentiable Reset Module. IEEE Robotics Autom. Lett. 7(4): 9864-9871 (2022) - [c12]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL 2022: 1640-1651 - [c11]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR 2022 - [c10]Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held:
Self-supervised Transparent Liquid Segmentation for Robotic Pouring. ICRA 2022: 4555-4561 - [c9]Xingyu Lin:
Agricultural machinery with tracking and navigation function. RICAI 2022: 514-519 - [c8]Zixuan Huang, Xingyu Lin, David Held:
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation. Robotics: Science and Systems 2022 - [i14]Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li:
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection. CoRR abs/2201.00016 (2022) - [i13]Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held:
Self-supervised Transparent Liquid Segmentation for Robotic Pouring. CoRR abs/2203.01538 (2022) - [i12]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR abs/2203.17275 (2022) - [i11]Zixuan Huang, Xingyu Lin, David Held:
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation. CoRR abs/2206.02881 (2022) - [i10]Carl Qi, Xingyu Lin, David Held:
Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module. CoRR abs/2207.04638 (2022) - [i9]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR abs/2210.15751 (2022) - 2021
- [c7]Xingyu Lin, Yufei Wang, Zixuan Huang, David Held:
Learning Visible Connectivity Dynamics for Cloth Smoothing. CoRL 2021: 256-266 - [i8]Xingyu Lin, Yufei Wang, David Held:
Learning Visible Connectivity Dynamics for Cloth Smoothing. CoRR abs/2105.10389 (2021) - [i7]Zizhao Hu, Ravikiran Chanumolu, Xingyu Lin, Nayela Ayaz, Vincent Chi:
Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts. CoRR abs/2112.01867 (2021) - 2020
- [c6]Xingyu Lin, Yufei Wang, Jake Olkin, David Held:
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation. CoRL 2020: 432-448 - [c5]Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held:
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. CoRL 2020: 1030-1048 - [i6]Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held:
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. CoRR abs/2011.06777 (2020) - [i5]Xingyu Lin, Yufei Wang, Jake Olkin, David Held:
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation. CoRR abs/2011.07215 (2020)
2010 – 2019
- 2019
- [j2]Tong Shu, Xingyu Lin, Sui Peng, Xiao Du, Huixiang Chen, Feng Li, Junjie Tang, Wenyuan Li:
Probabilistic Power Flow Analysis for Hybrid HVAC and LCC-VSC HVDC System. IEEE Access 7: 142038-142052 (2019) - [c4]Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held:
Adaptive Variance for Changing Sparse-Reward Environments. ICRA 2019: 3210-3216 - [c3]Xingyu Lin, Harjatin Singh Baweja, George Kantor, David Held:
Adaptive Auxiliary Task Weighting for Reinforcement Learning. NeurIPS 2019: 4773-4784 - [i4]Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held:
Adaptive Variance for Changing Sparse-Reward Environments. CoRR abs/1903.06309 (2019) - [i3]Xingyu Lin, Harjatin Singh Baweja, David Held:
Reinforcement Learning without Ground-Truth State. CoRR abs/1905.07866 (2019) - 2018
- [j1]Xingyu Lin, Mingxuan Chai, Sheng Li, Guoping Wang:
Time-varying light motion in single convergence. Comput. Animat. Virtual Worlds 29(3-4) (2018) - 2017
- [c2]Hao Wang, Xingyu Lin, Yimeng Zhang, Tai Sing Lee:
Learning Robust Object Recognition Using Composed Scenes from Generative Models. CRV 2017: 232-239 - [c1]Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee:
Transfer of View-manifold Learning to Similarity Perception of Novel Objects. ICLR (Poster) 2017 - [i2]Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee:
Transfer of View-manifold Learning to Similarity Perception of Novel Objects. CoRR abs/1704.00033 (2017) - [i1]Hao Wang, Xingyu Lin, Yimeng Zhang, Tai Sing Lee:
Learning Robust Object Recognition Using Composed Scenes from Generative Models. CoRR abs/1705.07594 (2017)
Coauthor Index
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last updated on 2024-08-20 22:52 CEST by the dblp team
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