Zhan Ling

According to our database, Zhan Ling authored at least 16 papers between 2020 and 2023.

Collaborative distances:

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

2023

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation.

Xiaoshuai Zhang, Rui Chen, Ang Li, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su

IEEE Trans. Robotics, June, 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

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

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models.

Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search.

Xinyue Wei, Minghua Liu, Zhan Ling, Hao Su

ACM Trans. Graph., 2022

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation.

Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, Hao Su

CoRR, 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

2020

State Alignment-based Imitation Learning.

Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

Proceedings of the 8th International Conference on Learning Representations, 2020