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2020 – today
- 2025
[j10]Jun Lei
, Yuxi Zhou, Xue Tian, Qinghao Zhao, Qi Zhang, Shijia Geng, Qingbo Wu, Shenda Hong:
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm. Biomed. Signal Process. Control. 100: 107028 (2025)- 2024
- [j9]Qingyu Yao, Luming Zhang, Wenguang Zheng, Yuxi Zhou, Yingyuan Xiao:
Multi-scale SE-residual network with transformer encoder for myocardial infarction classification. Appl. Soft Comput. 149(Part A): 110919 (2024) - [j8]Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong:
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. Health Inf. Sci. Syst. 12(1): 2 (2024) - [j7]Zhibin Zhang, Wanli Xue, Yuxi Zhou, Kaihua Zhang, Shengyong Chen:
Hunt-inspired Transformer for visual object tracking. Pattern Recognit. 156: 110703 (2024) - [c12]Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen:
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution. AAAI 2024: 7713-7721 - [c11]Yuxi Zhou, Changqing Song, Hongzhi Zhao, Shihai Shao:
Analysis and Optimization for Artificial Noise Aided Physical Layer Security Under Clock Jitter. ICC Workshops 2024: 1791-1796 - [c10]Kexin Wang, Baoli Lu, Yuxi Zhou, Congcong Wang, Yu He, Jianhua Zhang:
Frame-Level Efficient Video Anomaly Detection Based on Prototype Networks. RCAR 2024: 534-539 - [i5]Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong:
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study. CoRR abs/2405.03239 (2024) - [i4]Zhengbo Zhang, Yuxi Zhou, Jia Gong, Jun Liu, Zhigang Tu:
Instance Temperature Knowledge Distillation. CoRR abs/2407.00115 (2024) - 2023
- [j6]Wanli Xue, Jingze Liu, Siyi Yan, Yuxi Zhou, Tiantian Yuan, Qing Guo:
Alleviating data insufficiency for Chinese sign language recognition. Vis. Intell. 1(1) (2023) - [c9]Zhaoyu Ai, Haiyun Liu, Xinyang Chen, Jing Feng, Yuxi Zhou, Moufu Kong:
A Novel Semi-superjunction SiC Trench MOSFET with Ultra-low Specific On-resistance. ASICON 2023: 1-4 - [c8]Jing Tang, Yuxi Zhou, Zhenyu Chen, Cheng Chen, Gang Xiong, Hongxin Zhang:
Cloud-based Fusion Rendering for AR Applications. DTPI 2023: 1-5 - [c7]Cong Chen, Yuxi Zhou, Yong Yu, Fang Nan, Jiangping Yang, Shihai Shao:
A Blind Roll-off Factor Estimation Method for Wireless Signal Identification. ITCC 2023: 12-16 - [c6]Changqing Song, Yuxi Zhou, Hongzhi Zhao, Shihai Shao:
Analysis of Full-Duplex Radios With Transceiver Phase Noise on Spectrum-Tight Battlefields. MILCOM 2023: 617-621 - [i3]Leming Guo, Wanli Xue, Qing Guo, Yuxi Zhou, Tiantian Yuan, Shengyong Chen:
Conditional Diffusion Feature Refinement for Continuous Sign Language Recognition. CoRR abs/2305.03614 (2023) - 2022
- [j5]Xu Chen, Hongkun Chen, Bao-liang Li, Zhijie Xiao, Yuxi Zhou, Wei Tian, Dafu Chen, Xizhe liu, Zhiyu Zhou, Shaoyu Liu:
Dynamic elastic modulus assessment of the early degeneration model of an intervertebral disc in cynomolgus monkeys with one strike loading. Comput. Methods Programs Biomed. 224: 106982 (2022) - [j4]Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo:
Local Patch Network With Global Attention for Infrared Small Target Detection. IEEE Trans. Aerosp. Electron. Syst. 58(5): 3979-3991 (2022) - [c5]Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng:
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space. HIS 2022: 113-124 - [i2]Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng:
Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space. CoRR abs/2206.11190 (2022) - 2021
- [c4]Yuxi Zhou, Shuwang Zhao:
Transnationality, Socialism, Modernity: Text Spread of the Bauhaus and Emergence of Modern Design in China. AHFE (18) 2021: 547-553 - 2020
- [j3]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine 122: 103801 (2020) - [j2]Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li:
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing 417: 64-73 (2020) - [j1]Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie:
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors 20(24): 7307 (2020) - [i1]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR abs/2001.01550 (2020)
2010 – 2019
- 2019
- [c3]Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie:
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. IJCAI 2019: 6057-6063 - 2018
- [c2]Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li:
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. ACML 2018: 831-846 - 2017
- [c1]Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie:
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. CinC 2017
Coauthor Index
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last updated on 2025-01-09 13:05 CET by the dblp team
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