I am a Ph.D. candidate at UC San Diego, advised by Prof. Hao Su. Before starting my Ph.D., I graduated from Yao Class at Tsinghua University.
Research interest
My research interests focus on developing an intelligent agent capable of solving a wide range of tasks and learning from interactions with the environment. I have extensively explored several areas, including imitation learning, reinforcement learning, physical simulation, robotics, and reasoning. Currently, my primary research objective is to enhance the reasoning capabilities of foundation models.
Publications and preprints
Papers sorted by recency(*/**/*** = equal contribution). Representative papers are highlighted.
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
Preprint
arXiv / code
Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su
Preprint
arXiv / code
Deductive Verification of
Chain-of-Thought Reasoning
Zhan Ling*, Yunhao Fang*, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Neural Information Processing Systems (NeurIPS), 2023
arXiv / code / poster
Zhan Ling*, Yunhao Fang*, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Neural Information Processing Systems (NeurIPS), 2023
arXiv / code / poster
Distilling Large
Vision-Language Model with
Out-of-Distribution Generalizability
Xuanlin Li*, Yunhao Fang*, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
IEEE / CVF International Conference on Computer Vision (ICCV), 2023
arXiv / code poster
Xuanlin Li*, Yunhao Fang*, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
IEEE / CVF International Conference on Computer Vision (ICCV), 2023
arXiv / code poster
On the Efficacy of 3D
Point Cloud Reinforcement
Learning
Zhan Ling*, Yunchao Yao*, Xuanling Li, Hao Su
Preprint
arXiv / code
Zhan Ling*, Yunchao Yao*, Xuanling Li, Hao Su
Preprint
arXiv / code
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
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
arXiv / code(coming soon) / website / video / slides
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
arXiv / code(coming soon) / website / video / slides
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
International Conference on Learning Representations (ICLR), 2023
arXiv / code / website / video / challenge website / baseline code
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
International Conference on Learning Representations (ICLR), 2023
arXiv / code / website / video / challenge website / baseline code
Improving policy
optimization with generalist-specialist
learning
Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su
International Conference on Machine Learning (ICML), 2022
arXiv / code / website
Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su
International Conference on Machine Learning (ICML), 2022
arXiv / code / website
Approximate Convex
Decomposition for 3D Meshes with
Collision-Aware Concavity and Tree Search
Xinyue Wei*, Minghua Liu*, Zhan Ling, Hao Su
ACM Transactions on Graphics(TOG), Proceedings of SIGGRAPH (Journal Track), 2022
arXiv / code / website / video
Xinyue Wei*, Minghua Liu*, Zhan Ling, Hao Su
ACM Transactions on Graphics(TOG), Proceedings of SIGGRAPH (Journal Track), 2022
arXiv / code / website / video
Close the Visual Domain
Gap by Physics-Grounded Active
Stereovision Depth 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 Transactions on Robotics (T-RO) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
arXiv / code
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 Transactions on Robotics (T-RO) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
arXiv / code
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
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021
arXiv / code / website / video / slides / baseline code / poster
Tongzhou Mu*, Zhan Ling*, Fanbo Xiang*, Derek Yang*, Xuanlin Li*, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021
arXiv / code / website / video / slides / baseline code / poster
State Alignment-based
Imitation Learning
Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su International Conference on Learning Representations (ICLR), 2020
arXiv / code
Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su International Conference on Learning Representations (ICLR), 2020
arXiv / code
Services
Conference Reviewer: ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV, ACCV.Journal Reviewer: T-RO, RA-L.