Xuanlin Li

According to our database, Xuanlin Li authored at least 20 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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.

Xuanlin Li

Int. J. Knowl. Based Intell. Eng. Syst., October, 2023

Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction.

Zhifu Huang, Yang Yang, Yawei Hu, Xiang Ding, Xuanlin Li, Yongbin Liu

Reliab. Eng. Syst. Saf., July, 2023

PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation.

Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, Hao Su

CoRR, 2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.

Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su

CoRR, 2023

On the Efficacy of 3D Point Cloud Reinforcement Learning.

Zhan Ling, Yunchao Yao, Xuanlin Li, Hao Su

CoRR, 2023

Deductive Verification of Chain-of-Thought Reasoning.

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deductive Verification of Chain-of-Thought Reasoning.

Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reparameterized Policy Learning for Multimodal Trajectory Optimization.

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

Proceedings of the International Conference on Machine Learning, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.

Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Performance Degradation Prediction Using LSTM with Optimized Parameters.

Yawei Hu, Ran Wei, Yang Yang, Xuanlin Li, Zhifu Huang, Yongbin Liu, Changbo He, Huitian Lu

Sensors, 2022

Improving Policy Optimization with Generalist-Specialist Learning.

Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su

Proceedings of the International Conference on Machine Learning, 2022

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds.

Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su

Proceedings of the Conference on Robot Learning, 2022

2021

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

CoRR, 2021

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Discovering Non-monotonic Autoregressive Orderings with Variational Inference.

Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

Proceedings of the 9th International Conference on Learning Representations, 2021

Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control.

Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Regularization Matters in Policy Optimization.

Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

CoRR, 2019