Yuxi Zhou

According to our database, Yuxi Zhou authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.

Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong

Health Inf. Sci. Syst., December, 2024

Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution.

Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Alleviating data insufficiency for Chinese sign language recognition.

Wanli Xue, Jingze Liu, Siyi Yan, Yuxi Zhou, Tiantian Yuan, Qing Guo

Vis. Intell., 2023

Conditional Diffusion Feature Refinement for Continuous Sign Language Recognition.

Leming Guo, Wanli Xue, Qing Guo, Yuxi Zhou, Tiantian Yuan, Shengyong Chen

CoRR, 2023

Analysis of Full-Duplex Radios With Transceiver Phase Noise on Spectrum-Tight Battlefields.

Changqing Song, Yuxi Zhou, Hongzhi Zhao, Shihai Shao

Proceedings of the IEEE Military Communications Conference, 2023

A Blind Roll-off Factor Estimation Method for Wireless Signal Identification.

Cong Chen, Yuxi Zhou, Yong Yu, Fang Nan, Jiangping Yang, Shihai Shao

Proceedings of the 2023 5th International Conference on Information Technology and Computer Communications, 2023

Cloud-based Fusion Rendering for AR Applications.

Jing Tang, Yuxi Zhou, Zhenyu Chen, Cheng Chen, Gang Xiong, Hongxin Zhang

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

A Novel Semi-superjunction SiC Trench MOSFET with Ultra-low Specific On-resistance.

Zhaoyu Ai, Haiyun Liu, Xinyang Chen, Jing Feng, Yuxi Zhou, Moufu Kong

Proceedings of the 15th IEEE International Conference on ASIC, 2023

2022

Local Patch Network With Global Attention for Infrared Small Target Detection.

Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo

IEEE Trans. Aerosp. Electron. Syst., 2022

Dynamic elastic modulus assessment of the early degeneration model of an intervertebral disc in cynomolgus monkeys with one strike loading.

Xu Chen, Hongkun Chen, Bao-liang Li, Zhijie Xiao, Yuxi Zhou, Wei Tian, Dafu Chen, Xizhe liu, Zhiyu Zhou, Shaoyu Liu

Comput. Methods Programs Biomed., 2022

Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space.

Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng

Proceedings of the Health Information Science - 11th International Conference, 2022

2021

Transnationality, Socialism, Modernity: Text Spread of the Bauhaus and Emergence of Modern Design in China.

Yuxi Zhou, Shuwang Zhao

Proceedings of the Advances in Creativity, Innovation, Entrepreneurship and Communication of Design, 2021

2020

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence.

Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

Sensors, 2020

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.

Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li

Neurocomputing, 2020

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun

Comput. Biol. Medicine, 2020

2019

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection.

Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction.

Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks.

Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie

Proceedings of the Computing in Cardiology, 2017