Zhenhui Tang — accepted AI-conference papers

2025

FitnessAgent: A Unified Agent Framework for Open-Set and Personalized Fitness Evaluation

Zhenhui Tang, Jiahao Li, Ping Guo, Bowen Tian, Qingjun Xing, Xuyang Xing +1

ICRA 2025

Robotic systems face challenges in performing open-set and personalized fitness evaluations, especially when adapting to new exercises and individual user needs. This paper introduces FitnessAgent, a unified agent framework designed to address these challenges. Unlike traditional systems that rely o

Cited by 0 Source ↗Scholar ↗

2023

LDTSF: A Label-Decoupling Teacher-Student Framework for Semi-Supervised Echocardiography Segmentation

Jiapeng Zhang, Yongxiong Wang, Zhiqun Pan, Zhenhui Tang, Lijun Chen, Jinlong Liu

ICASSP 2023accepted

The accurate segmentation of the right and left ventricles with limited labeled data is a challenging task in echocardiographic data analysis. To fully leverage the easily accessible unlabeled data, we propose a label-decoupling teacher-student framework (LDTSF) based on semi-supervised learning. Sp…

Cited by 0 Source ↗Scholar ↗