Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine. - Hanyuan Zhang; Xiaogang Deng; Yunchu Zhang; Chuanjing Hou; Chengdong Li; Zheng Xin (IEEE Access, 2019)

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views. - Jingyun Yang; Hsiao-Yu Tung; Yunchu Zhang; Gaurav Pathak; Ashwini Pokle; Christopher G. Atkeson; Katerina Fragkiadaki (CoRL, 2021)

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. - Xingyu Lin; Carl Qi; Yunchu Zhang; Zhiao Huang; Katerina Fragkiadaki; Yunzhu Li; Chuang Gan 001; David Held (CoRL, 2022)

Detection and Identification of Digital Display Meter of Distribution Cabinet Based on YOLOv5 Algorithm. - Yanfei Zhou; Yunchu Zhang; Chao Wang; Shaohan Sun; Jimin Wang (NCAA (1), 2022)

2K-Fold-Net and feature enhanced 4-Fold-Net for medical image segmentation. - Yunchu Zhang; Jianfei Dong (Pattern Recognit., 2022)

Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm. - Yiming Liu; Yunchu Zhang; Yanfei Zhou; Xinyi Zhang (NCAA (2), 2023)

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. - Nikolaos Gkanatsios; Ayush Jain; Zhou Xian; Yunchu Zhang; Christopher G. Atkeson; Katerina Fragkiadaki (Robotics: Science and Systems, 2023)

Cherry-Picking with Reinforcement Learning. - Yunchu Zhang; Liyiming Ke; Abhay Deshpande; Abhishek Gupta 004; Siddhartha S. Srinivasa (Robotics: Science and Systems, 2023)

Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement. - Nikolaos Gkanatsios; Ayush Jain; Zhou Xian; Yunchu Zhang; Christopher G. Atkeson; Katerina Fragkiadaki (CoRR, 2023)

Automatic detection of indoor occupancy based on improved YOLOv5 model. - Chao Wang; Yunchu Zhang; Yanfei Zhou; Shaohan Sun; Hanyuan Zhang; Yepeng Wang (Neural Comput. Appl., 2023)

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning. - Liyiming Ke; Yunchu Zhang; Abhay Deshpande; Siddhartha S. Srinivasa; Abhishek Gupta 004 (ICLR, 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)

Pedestrian Fall Detection Algorithm Based on Improved YOLOv7. - Fei Wang; Yunchu Zhang; Xinyi Zhang; Yiming Liu (NCAA (1), 2024)

Safety Helmet-Wearing Detection Method Fusing Pose Estimation. - Xinyi Zhang; Yunchu Zhang; Yiming Liu; Fei Wang (NCAA (1), 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks. - Yunchu Zhang; Jianfei Dong (IEEE J. Biomed. Health Informatics, 2024)

ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning. - Yunchu Zhang; Shubham Mittal 005; Zhengyu Zhang; Liyiming Ke; Siddhartha S. Srinivasa; Abhishek Gupta 004 (CoRR, 2025)

Steering Your Diffusion Policy with Latent Space Reinforcement Learning. - Andrew Wagenmaker; Mitsuhiko Nakamoto; Yunchu Zhang; Seohong Park; Waleed Yagoub; Anusha Nagabandi; Abhishek Gupta 004; Sergey Levine (CoRR, 2025)