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Spatial Autoregressive Coding for Graph Neural Recommendation


May 19, 2022
Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong

* preprint 

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Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training


Mar 14, 2022
Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong


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MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs


Mar 01, 2022
Wenrui Zhang, Shijia Geng, Zhaoji Fu, Linlin Zheng, Chenyang Jiang, Shenda Hong


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A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings


Feb 26, 2022
Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong


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Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection


Feb 25, 2022
Wenrui Zhang, Shijia Geng, Shenda Hong


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Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning


Feb 16, 2022
Ling Yang, Shenda Hong, Luxia Zhang


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Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion


Feb 08, 2022
Ling Yang, Shenda Hong, Luxia Zhang


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Spectral Propagation Graph Network for Few-shot Time Series Classification


Feb 08, 2022
Ling Yang, Shenda Hong, Luxia Zhang


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Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals


Sep 18, 2021
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

* preliminary version 

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GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization


Aug 31, 2021
Yen-Hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li

* (FL-ICML'21) International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 

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TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data


May 02, 2021
Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li

* 7 pages, 4 figures, accepted by IJCAI 2021 

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A Review of Designs and Applications of Echo State Networks


Dec 05, 2020
Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li

* 37 pages, 5 figures, 2 tables 

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A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data


Oct 26, 2020
Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li

* 19 pages, 7 figures 

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Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning


Aug 28, 2020
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

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HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units


Aug 10, 2020
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov


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CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram


Jul 04, 2020
Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng

* WWW 2020 Demo 

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CHEER: Rich Model Helps Poor Model via Knowledge Infusion


May 21, 2020
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun

* Published in TKDE 

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Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review


Dec 28, 2019
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun


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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals


Jun 06, 2019
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

* Accepted to IJCAI 2019 

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RDPD: Rich Data Helps Poor Data via Imitation


Sep 07, 2018
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun


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