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Shijia Geng
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2020 – today
- 2025
- [j7]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
- [j6]Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong:
CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training. Biomed. Signal Process. Control. 91: 105922 (2024) - [j5]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) - [j4]Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong:
Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks. Neural Comput. Appl. 36(8): 4047-4058 (2024) - [i9]Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong:
A Review of Deep Learning Methods for Photoplethysmography Data. CoRR abs/2401.12783 (2024) - [i8]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) - 2023
- [j3]Wenrui Zhang, Shijia Geng, Shenda Hong:
A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection. Biomed. Signal Process. Control. 79(Part): 104194 (2023) - [c3]Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong:
Less is More: Reducing Overfitting in Deep Learning for EEG Classification. CinC 2023: 1-4 - [i7]Deyun Zhang, Shijia Geng, Yang Zhou, Weilun Xu, Guodong Wei, Kai Wang, Jie Yu, Qiang Zhu, Yongkui Li, Yonghong Zhao, Xingyue Chen, Rui Zhang, Zhaoji Fu, Rongbo Zhou, Yanqi E, Sumei Fan, Qinghao Zhao, Chuandong Cheng, Nan Peng, Liang Zhang, Linlin Zheng, Jianjun Chu, Hongbin Xu, Chen Tan, Jian Liu, Huayue Tao, Tong Liu, Kangyin Chen, Chenyang Jiang, Xingpeng Liu, Shenda Hong:
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images. CoRR abs/2302.10301 (2023) - 2022
- [j2]Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu, Shenda Hong:
Building and training a deep spiking neural network for ECG classification. Biomed. Signal Process. Control. 77: 103749 (2022) - [j1]Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong:
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network. BMC Medical Informatics Decis. Mak. 22(1): 295 (2022) - [i6]Wenrui Zhang, Shijia Geng, Zhaoji Fu, Linlin Zheng, Chenyang Jiang, Shenda Hong:
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs. CoRR abs/2202.12450 (2022) - [i5]Wenrui Zhang, Shijia Geng, Shenda Hong:
Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. CoRR abs/2202.12458 (2022) - [i4]Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong:
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings. CoRR abs/2203.00512 (2022) - [i3]Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong:
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. CoRR abs/2203.09487 (2022) - [i2]Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong:
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR abs/2205.09928 (2022)
2010 – 2019
- 2017
- [i1]Shijia Geng, Gang Ren, Mitsunori Ogihara:
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network. CoRR abs/1706.09553 (2017) - 2013
- [c2]Noeline W. Prins, Shijia Geng, Eric A. Pohlmeyer, Babak Mahmoudi, Justin C. Sanchez:
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI. EMBC 2013: 5250-5253 - 2012
- [c1]Eric A. Pohlmeyer, Babak Mahmoudi, Shijia Geng, Noeline W. Prins, Justin C. Sanchez:
Brain-machine interface control of a robot arm using actor-critic rainforcement learning. EMBC 2012: 4108-4111
Coauthor Index
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