Yunchu Zhang

Orcid: 0009-0003-3349-4449

According to our database1, Yunchu Zhang authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks.
IEEE J. Biomed. Health Informatics, February, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Automatic detection of indoor occupancy based on improved YOLOv5 model.
Neural Comput. Appl., 2023

Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement.
CoRR, 2023

Cherry-Picking with Reinforcement Learning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2022
2K-Fold-Net and feature enhanced 4-Fold-Net for medical image segmentation.
Pattern Recognit., 2022

Detection and Identification of Digital Display Meter of Distribution Cabinet Based on YOLOv5 Algorithm.
Proceedings of the Neural Computing for Advanced Applications, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.
Proceedings of the Conference on Robot Learning, 2022

2021
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019
Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine.
IEEE Access, 2019


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