State Alignment-based Imitation Learning. - Fangchen Liu; Zhan Ling; Tongzhou Mu; Hao Su 001 (ICLR, 2020)

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)

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation. - Xiaoshuai Zhang; Rui Chen 019; Fanbo Xiang; Yuzhe Qin; Jiayuan Gu; Zhan Ling; Minghua Liu; Peiyu Zeng; Songfang Han; Zhiao Huang; Tongzhou Mu; Jing Xu 011; et al. (CoRR, 2022)

Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search. - Xinyue Wei; Minghua Liu; Zhan Ling; Hao Su 001 (ACM Trans. Graph., 2022)

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 001 (CVPR, 2023)

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)

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)

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation. - Xiaoshuai Zhang; Rui Chen 019; Ang Li 010; Fanbo Xiang; Yuzhe Qin; Jiayuan Gu; Zhan Ling; Minghua Liu; Peiyu Zeng; Songfang Han; Zhiao Huang; Tongzhou Mu; et al. (IEEE Trans. Robotics, 2023)

ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities. - Ying Su; Zhan Ling; Haochen Shi; Cheng Jiayang; Yauwai Yim; Yangqiu Song (EMNLP, 2024)

Towards Enhanced Reasoning in Large Language Models - Zhan Ling (2024)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. - Zhan Ling; Kang Liu; Kai Yan; Yifan Yang; Weijian Lin; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning. - Kai Yan; Zhan Ling; Kang Liu; Yifan Yang; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)