Search Results for author: Chenguang Yang

Found 5 papers, 2 papers with code

Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture

1 code implementation4 Jan 2024 Dianye Huang, Chenguang Yang, Mingchuan Zhou, Angelos Karlas, Nassir Navab, Zhongliang Jiang

To ensure the biometric measurements obtained in different examinations are comparable, the 6D scanning path is determined in a coarse-to-fine manner using both an external RGBD camera and US images.

Position

Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data

no code implementations30 May 2023 Hongkuan Zhou, Zhenshan Bing, Xiangtong Yao, Xiaojie Su, Chenguang Yang, Kai Huang, Alois Knoll

In this evaluation, we set up ten tasks and achieved an average 30% improvement in our approach compared to the current state-of-the-art approach, demonstrating a high generalization capability in both simulated environments and the real world.

Imitation Learning Robot Manipulation

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

no code implementations29 Apr 2023 Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Hang Su, Chenguang Yang, Kai Huang, Alois Knoll

On MuJoCo and Meta-World benchmarks, MoSS outperforms prior works in terms of asymptotic performance, sample efficiency (3-50x faster), adaptation efficiency, and generalization robustness on broad and diverse task distributions.

Meta Reinforcement Learning reinforcement-learning +1

Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors

no code implementations20 May 2021 Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang

Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate.

BIG-bench Machine Learning Classification +1

Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments

1 code implementation23 Sep 2019 Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie

To retrieve a target image from the database, the query image is first encoded using the encoder belonging to the query domain to obtain a domain-invariant feature vector.

Autonomous Driving Retrieval +2

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