Li, Xuanlin

13 publications

ICLRW 2025 ManiSkill3: GPU Parallelized Robot 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, Tongzhou Mu, Nan Xiao, Arnav Gurha, Viswesh N, Yong Woo Choi, Yen-Ru Chen, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su

CoRL 2024 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, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao

NeurIPS 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, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic

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

ICCV 2023 Distilling Large Vision-Language Model with Out-of-Distribution Generalizability Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su

ICLR 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

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

ICML 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

CoRL 2022 Frame Mining: A Free Lunch for Learning Robotic Manipulation from 3D Point Clouds Minghua Liu, Xuanlin Li, Zhan Ling, Yangyan Li, Hao Su

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

NeurIPSW 2022 Variational Reparametrized Policy Learning with Differentiable Physics Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su

ICLR 2021 Discovering Non-Monotonic Autoregressive Orderings with Variational Inference Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

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