Target-referenced Reactive Grasping for Dynamic Objects. - Jirong Liu; Ruo Zhang; Haoshu Fang; Minghao Gou; Hongjie Fang; Chenxi Wang 003; Sheng Xu; Hengxu Yan; Cewu Lu (CVPR, 2023)

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. - Haoshu Fang; Chenxi Wang 003; Hongjie Fang; Minghao Gou; Jirong Liu; Hengxu Yan; Wenhai Liu; Yichen Xie 002; Cewu Lu (IEEE Trans. Robotics, 2023)

A Surprisingly Efficient Representation for Multi-Finger Grasping. - Hengxu Yan; Haoshu Fang; Cewu Lu (ICRA, 2024)

ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics. - Qiaojun Yu; Ce Hao; Junbo Wang 004; Wenhai Liu; Liu Liu 012; Yao Mu 001; Yang You 004; Hengxu Yan; Cewu Lu (CoRR, 2024)

Dexterous Manipulation Based on Prior Dexterous Grasp Pose Knowledge. - Hengxu Yan; Haoshu Fang; Cewu Lu (CoRR, 2024)

AViTa: Adaptive Visual-Tactile Dexterous Grasping. - Hengxu Yan; Haoshu Fang; Cewu Lu (IEEE Robotics Autom. Lett., 2024)

AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency. - Haoshu Fang; Hengxu Yan; Zhenyu Tang 005; Hongjie Fang; Chenxi Wang 003; Cewu Lu (CoRR, 2025)