RMPE: Regional Multi-person Pose Estimation. - Haoshu Fang; Shuqin Xie; Yu-Wing Tai; Cewu Lu (ICCV, 2017)

Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation. - Haoshu Fang; Yuanlu Xu; Wenguan Wang; Xiaobai Liu; Song-Chun Zhu (CoRR, 2017)

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. - Haoshu Fang; Yuanlu Xu; Wenguan Wang; Xiaobai Liu; Song-Chun Zhu (AAAI, 2018)

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. - Haoshu Fang; Guansong Lu; Xiaolin Fang 002; Jianwen Xie; Yu-Wing Tai; Cewu Lu (CVPR, 2018)

Pairwise Body-Part Attention for Recognizing Human-Object Interactions. - Haoshu Fang; Jinkun Cao; Yu-Wing Tai; Cewu Lu (ECCV (10), 2018)

Transferable Interactiveness Prior for Human-Object Interaction Detection. - Yong-Lu Li 001; Siyuan Zhou; Xijie Huang; Liang Xu 012; Ze Ma; Haoshu Fang; Yanfeng Wang; Cewu Lu (CoRR, 2018)

Estimating 6D Pose From Localizing Designated Surface Keypoints. - Zelin Zhao; Gao Peng; Haoyu Wang; Haoshu Fang; Chengkun Li; Cewu Lu (CoRR, 2018)

CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark. - Jiefeng Li; Can Wang; Hao Zhu 008; Yihuan Mao; Haoshu Fang; Cewu Lu (CVPR, 2019)

Transferable Interactiveness Knowledge for Human-Object Interaction Detection. - Yong-Lu Li 001; Siyuan Zhou; Xijie Huang; Liang Xu 012; Ze Ma; Haoshu Fang; Yanfeng Wang; Cewu Lu (CVPR, 2019)

Cross-Domain Adaptation for Animal Pose Estimation. - Jinkun Cao; Hongyang Tang; Haoshu Fang; Xiaoyong Shen; Yu-Wing Tai; Cewu Lu (ICCV, 2019)

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting. - Haoshu Fang; Jianhua Sun 003; Runzhong Wang; Minghao Gou; Yong-Lu Li 001; Cewu Lu (ICCV, 2019)

HAKE: Human Activity Knowledge Engine. - Yong-Lu Li 001; Liang Xu 012; Xijie Huang; Xinpeng Liu 002; Ze Ma; Mingyang Chen; Shiyi Wang; Haoshu Fang; Cewu Lu (CoRR, 2019)

GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping. - Haoshu Fang; Chenxi Wang 003; Minghao Gou; Cewu Lu (CoRR, 2019)

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping. - Haoshu Fang; Chenxi Wang 003; Minghao Gou; Cewu Lu (CVPR, 2020)

PaStaNet: Toward Human Activity Knowledge Engine. - Yong-Lu Li 001; Liang Xu 012; Xinpeng Liu 002; Xijie Huang; Yue Xu; Shiyi Wang; Haoshu Fang; Ze Ma; Mingyang Chen; Cewu Lu (CVPR, 2020)

DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. - Haoshu Fang; Yichen Xie 002; Dian Shao; Cewu Lu (AAAI, 2021)

DecAug: Augmenting HOI Detection via Decomposition. - Haoshu Fang; Yichen Xie 002; Dian Shao; Yong-Lu Li 001; Cewu Lu (AAAI, 2021)

Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis. - Jianhua Sun 003; Yuxuan Li; Haoshu Fang; Cewu Lu (ICCV, 2021)

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection. - Chenxi Wang 003; Haoshu Fang; Minghao Gou; Hongjie Fang; Jin Gao; Cewu Lu (ICCV, 2021)

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images. - Minghao Gou; Haoshu Fang; Zhanda Zhu; Sheng Xu; Chenxi Wang 003; Cewu Lu (ICRA, 2021)

SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping. - Hanwen Cao; Haoshu Fang; Wenhai Liu; Cewu Lu (IEEE Robotics Autom. Lett., 2021)

Correlation Field for Boosting 3D Object Detection in Structured Scenes. - Jianhua Sun 003; Haoshu Fang; Xianghui Zhu; Jiefeng Li; Cewu Lu (AAAI, 2022)

Human Trajectory Prediction with Momentary Observation. - Jianhua Sun 003; Yuxuan Li; Liang Chai; Haoshu Fang; Yong-Lu Li 001; Cewu Lu (CVPR, 2022)

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping. - Hongjie Fang; Haoshu Fang; Sheng Xu; Cewu Lu (CoRR, 2022)

Unseen Object 6D Pose Estimation: A Benchmark and Baselines. - Minghao Gou; Haolin Pan; Haoshu Fang; Ziyuan Liu; Cewu Lu; Ping Tan (CoRR, 2022)

X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360$^{ circ} $ Insufficient RGB-D Views. - Haoyi Zhu; Haoshu Fang; Cewu Lu (CoRR, 2022)

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions. - Yong-Lu Li 001; Hongwei Fan; Zuoyu Qiu; Yiming Dou; Liang Xu 012; Haoshu Fang; Peiyang Guo; Haisheng Su; Dongliang Wang; Wei Wu 021; Cewu Lu (CoRR, 2022)

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline. - Hongjie Fang; Haoshu Fang; Sheng Xu; Cewu Lu (IEEE Robotics Autom. Lett., 2022)

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)

Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation. - Gu Zhang; Haoshu Fang; Hongjie Fang; Cewu Lu (IROS, 2023)

RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot. - Haoshu Fang; Hongjie Fang; Zhenyu Tang 005; Jirong Liu; Junbo Wang 004; Haoyi Zhu; Cewu Lu (CoRR, 2023)

Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild. - Hongjie Fang; Haoshu Fang; Yiming Wang; Jieji Ren; Jingjing Chen; Ruo Zhang; Weiming Wang; Cewu Lu (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time. - Haoshu Fang; Jiefeng Li; Hongyang Tang; Chao Xu; Haoyi Zhu; Yuliang Xiu; Yong-Lu Li 001; Cewu Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HAKE: A Knowledge Engine Foundation for Human Activity Understanding. - Yong-Lu Li 001; Xinpeng Liu 002; Xiaoqian Wu; Yizhuo Li 001; Zuoyu Qiu; Liang Xu 012; Yue Xu; Haoshu Fang; Cewu Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation. - Jianhua Sun 003; Haoshu Fang; Yuxuan Li; Runzhong Wang; Minghao Gou; Cewu Lu (Int. J. Comput. Vis., 2023)

Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset. - Haoshu Fang; Minghao Gou; Chenxi Wang 003; Cewu Lu (Int. J. Robotics Res., 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)

RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot. - Haoshu Fang; Hongjie Fang; Zhenyu Tang 005; Jirong Liu; Chenxi Wang 003; Junbo Wang 004; Haoyi Zhu; Cewu Lu (ICRA, 2024)

AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild. - Hongjie Fang; Haoshu Fang; Yiming Wang; Jieji Ren; Jingjing Chen; Ruo Zhang; Weiming Wang; Cewu Lu (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

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

EyeSight Hand: Design of a Fully-Actuated Dexterous Robot Hand with Integrated Vision-Based Tactile Sensors and Compliant Actuation. - Branden Romero; Haoshu Fang; Pulkit Agrawal 001; Edward H. Adelson (IROS, 2024)

RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective. - Chenxi Wang 003; Hongjie Fang; Haoshu Fang; Cewu Lu (IROS, 2024)

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents. - Zeren Chen; Zhelun Shi; Xiaoya Lu; Lehan He; Sucheng Qian; Haoshu Fang; Zhenfei Yin; Wanli Ouyang; Jing Shao; Yu Qiao 001; Cewu Lu; Lu Sheng (CoRR, 2024)

Towards Effective Utilization of Mixed-Quality Demonstrations in Robotic Manipulation via Segment-Level Selection and Optimization. - Jingjing Chen; Hongjie Fang; Haoshu Fang; Cewu Lu (CoRR, 2024)

CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation. - Shangning Xia; Hongjie Fang; Haoshu Fang; Cewu Lu (CoRR, 2024)

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

Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection. - Shoubin Yu; Zhongyin Zhao; Haoshu Fang; Andong Deng; Haisheng Su; Dongliang Wang; Weihao Gan; Cewu Lu; Wei Wu 021 (IEEE Trans. Circuits Syst. Video Technol., 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)

AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons. - Hongjie Fang; Chenxi Wang 003; Yiming Wang; Jingjing Chen; Shangning Xia; Jun Lv; Zihao He; Xiyan Yi; Yunhan Guo; Xinyu Zhan 001; Lixin Yang 001; Weiming Wang; et al. (CoRR, 2025)

Dense Policy: Bidirectional Autoregressive Learning of Actions. - Yue Su; Xinyu Zhan 001; Hongjie Fang; Han Xue; Haoshu Fang; Yong-Lu Li 001; Cewu Lu; Lixin Yang 001 (CoRR, 2025)

FoAR: Force-Aware Reactive Policy for Contact-Rich Robotic Manipulation. - Zihao He; Hongjie Fang; Jingjing Chen; Haoshu Fang; Cewu Lu (IEEE Robotics Autom. Lett., 2025)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers. - Yating Wang; Haoyi Zhu; Mingyu Liu; Jiange Yang; Haoshu Fang; Tong He 001 (CoRR, 2025)