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Journal Articles
- 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)- 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 2021
- [c7]Xingyu Lin, Yufei Wang, Zixuan Huang, David Held:
Learning Visible Connectivity Dynamics for Cloth Smoothing. CoRL 2021: 256-266 - 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 - 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 - 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
Informal and Other Publications
- 2024
- [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
- [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
- [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
- [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
- [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) - 2019
- [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) - 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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