Regularization Matters in Policy Optimization. - Zhuang Liu 003; Xuanlin Li; Bingyi Kang; Trevor Darrell (CoRR, 2019)

Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. - Zhuang Liu 003; Xuanlin Li; Bingyi Kang; Trevor Darrell (ICLR, 2021)

Discovering Non-monotonic Autoregressive Orderings with Variational Inference. - Xuanlin Li; Brandon Trabucco; Dong Huk Park; Michael Luo; Sheng Shen 001; Trevor Darrell; Yang Gao 029 (ICLR, 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 001 (NeurIPS Datasets and Benchmarks, 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 001 (CoRR, 2021)

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds. - Minghua Liu; Xuanlin Li; Zhan Ling; Yangyan Li; Hao Su 001 (CoRL, 2022)

Improving Policy Optimization with Generalist-Specialist Learning. - Zhiwei Jia; Xuanlin Li; Zhan Ling; Shuang Liu; Yiran Wu; Hao Su 001 (ICML, 2022)

Performance Degradation Prediction Using LSTM with Optimized Parameters. - Yawei Hu; Ran Wei; Yang Yang 119; Xuanlin Li; Zhifu Huang; Yongbin Liu; Changbo He; Huitian Lu (Sensors, 2022)

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. - Xuanlin Li; Yunhao Fang; Minghua Liu; Zhan Ling; Zhuowen Tu; Hao Su 001 (ICCV, 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; et al. (ICLR, 2023)

Reparameterized Policy Learning for Multimodal Trajectory Optimization. - Zhiao Huang; Litian Liang; Zhan Ling; Xuanlin Li; Chuang Gan 001; Hao Su 001 (ICML, 2023)

Deductive Verification of Chain-of-Thought Reasoning. - Zhan Ling; Yunhao Fang; Xuanlin Li; Zhiao Huang; Mingu Lee; Roland Memisevic; Hao Su 001 (NeurIPS, 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 001 (NeurIPS, 2023)

On the Efficacy of 3D Point Cloud Reinforcement Learning. - Zhan Ling; Yunchao Yao; Xuanlin Li; Hao Su 001 (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 002; Roland Memisevic; Hao Su 001 (CoRR, 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 001 (CoRR, 2023)

Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction. - Zhifu Huang; Yang Yang 119; Yawei Hu; Xiang Ding; Xuanlin Li; Yongbin Liu (Reliab. Eng. Syst. Saf., 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., 2023)

Evaluating Real-World Robot Manipulation Policies in Simulation. - Xuanlin Li; Kyle Hsu; Jiayuan Gu; Oier Mees; Karl Pertsch; Homer Rich Walke; Chuyuan Fu; Ishikaa Lunawat; Isabel Sieh; Sean Kirmani; Sergey Levine; Jiajun Wu 001; et al. (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (NeurIPS, 2024)

Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (CoRR, 2024)

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI. - Stone Tao; Fanbo Xiang; Arth Shukla; Yuzhe Qin; Xander Hinrichsen; Xiaodi Yuan; Chen Bao; Xinsong Lin; Yulin Liu; Tse-kai Chan; Yuan Gao; Xuanlin Li; et al. (CoRR, 2024)

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation. - Xuanlin Li; Tong Zhao; Xinghao Zhu; Jiuguang Wang; Tao Pang; Kuan Fang (CoRR, 2024)

A Baseline Similarity Attention-Based Dual-Channel Feature Fusion Network for Machine Remaining Useful Life Prediction. - Yawei Hu; Xuanlin Li; Hang Wang; Yongbin Liu; Xianzeng Liu; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2024)

An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking. - Xuanlin Li; Xiangyu Cai; Hao Peng; Jia Duan; Wei Wang 103; Zehua Zhang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao (WWW (Companion Volume), 2025)

A closed-form continuous-depth neural-based hybrid difference features re-representation network for RUL prediction. - Xuanlin Li; Yawei Hu; Hang Wang; Yongbin Liu; Xianzeng Liu; Huitian Lu (Reliab. Eng. Syst. Saf., 2025)