Xuanlin Li
Orcid: 0000-0002-9808-1042
According to our database1,
Xuanlin Li
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
A Baseline Similarity Attention-Based Dual-Channel Feature Fusion Network for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Modified cross-entropy method for multiple-attribute decision making with type-2 neutrosophic number and applications to risk assessment of internet supply chain finance.
Int. J. Knowl. Based Intell. Eng. Syst., October, 2023
Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction.
Reliab. Eng. Syst. Saf., July, 2023
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation.
CoRR, 2023
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Sensors, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Conference on Robot Learning, 2022
2021
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.
CoRR, 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control.
Proceedings of the 9th International Conference on Learning Representations, 2021
2019