Shenda Hong

According to our database, Shenda Hong authored at least 80 papers between 2014 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

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang

ACM Comput. Surv., April, 2024

Time pattern reconstruction for classification of irregularly sampled time series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Pattern Recognit., March, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., February, 2024

A Systematic Review of Echo State Networks From Design to Application.

Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li

IEEE Trans. Artif. Intell., January, 2024

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks.

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

Neural Comput. Appl., 2024

Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data.

Zenghui Lin, Xintong Liu, Nan Wang, Ruichen Li, Qingao Liu, Jingying Ma, Liwei Wang, Yan Wang, Shenda Hong

CoRR, 2024

A Review of Deep Learning Methods for Photoplethysmography Data.

Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong

CoRR, 2024

Curriculum Design Helps Spiking Neural Networks to Classify Time Series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong

CoRR, 2024

2023

SPL-LDP: a label distribution propagation method for semi-supervised partial label learning.

Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li

Appl. Intell., September, 2023

Adaptive model training strategy for continuous classification of time series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Appl. Intell., August, 2023

Self-sovereign identity empowered non-fungible patient tokenization for health information exchange using blockchain technology.

Yan Zhuang, Chi-Ren Shyu, Shenda Hong, Pengfei Li, Luxia Zhang

Comput. Biol. Medicine, May, 2023

Continuous diagnosis and prognosis by controlling the update process of deep neural networks.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Patterns, February, 2023

Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring.

Jingyu Wang, Jingying Ma, Shenda Hong, Chi Zhang, Jianliu Wang, Linyan Zhang, Xinran Liu, Rui Bai, Xiaosong Dong, Guoli Liu, Fang Han

Expert Syst. Appl., 2023

Curricular and Cyclical Loss for Time Series Learning Strategy.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong

CoRR, 2023

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.

Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong

CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

CoRR, 2023

Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images.

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

CoRR, 2023

Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach.

Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng

CoRR, 2023

A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection.

Wenrui Zhang, Shijia Geng, Shenda Hong

Biomed. Signal Process. Control., 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frozen Language Model Helps ECG Zero-Shot Learning.

Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong

Proceedings of the Medical Imaging with Deep Learning, 2023

Less is More: Reducing Overfitting in Deep Learning for EEG Classification.

Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong

Proceedings of the Computing in Cardiology, 2023

2022

CHEER: Rich Model Helps Poor Model via Knowledge Infusion.

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

IEEE Trans. Knowl. Data Eng., 2022

HITS: Binarizing physiological time series with deep hashing neural network.

Zhaoji Fu, Can Wang, Guodong Wei, Wenrui Zhang, Shaofu Du, Shenda Hong

Pattern Recognit. Lett., 2022

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

Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network.

Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong

BMC Medical Informatics Decis. Mak., 2022

Classifying vaguely labeled data based on evidential fusion.

Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li

Inf. Sci., 2022

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment.

Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong

Inf. Sci., 2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

CoRR, 2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning.

Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong

CoRR, 2022

Spatial Autoregressive Coding for Graph Neural Recommendation.

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

CoRR, 2022

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training.

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

CoRR, 2022

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

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

CoRR, 2022

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection.

Wenrui Zhang, Shijia Geng, Shenda Hong

CoRR, 2022

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

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

CoRR, 2022

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

Ling Yang, Shenda Hong, Luxia Zhang

CoRR, 2022

Spectral Propagation Graph Network for Few-shot Time Series Classification.

Ling Yang, Shenda Hong, Luxia Zhang

CoRR, 2022

Building and training a deep spiking neural network for ECG classification.

Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu, Shenda Hong

Biomed. Signal Process. Control., 2022

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

Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Contrastive Learning for Electronic Health Records.

Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Structure Learning for Hypergraph Neural Networks.

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Ling Yang, Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning.

Ling Yang, Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

Confidence-Guided Learning Process for Continuous Classification of Time Series.

Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals.

Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.

Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang

BMC Medical Informatics Decis. Mak., December, 2021

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management.

Zhaoji Fu, Shenda Hong, Rui Zhang, Shaofu Du

Sensors, 2021

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

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

CoRR, 2021

Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates.

Shenda Hong, Can Wang, Zhaoji Fu

Comput. Methods Programs Biomed., 2021

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.

Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li

Biomed. Signal Process. Control., 2021

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.

Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

CardioID: learning to identification from electrocardiogram data.

Shenda Hong, Can Wang, Zhaoji Fu

Neurocomputing, 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

A Review of Designs and Applications of Echo State Networks.

Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li

CoRR, 2020

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

Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li

CoRR, 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

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

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

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ViVA: Semi-supervised Visualization via Variational Autoencoders.

Sungtae An, Shenda Hong, Jimeng Sun

Proceedings of the 20th IEEE International Conference on Data Mining, 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

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.

Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

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

RDPD: Rich Data Helps Poor Data via Imitation.

Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun

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

2018

RDPD: Rich Data Helps Poor Data via Imitation.

Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

CoRR, 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

Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization.

Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Finding the Typical Communication Black Hole in Big Data Environment.

Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li

Proceedings of the Data Mining and Big Data - Second International Conference, 2017

REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network.

Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li

Proceedings of the Data Mining and Big Data - Second International Conference, 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

Event2vec: Learning Representations of Events on Temporal Sequences.

Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum.

Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks.

Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

A Novel Method for Mining Semantics from Patterns over ECG Data.

Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li

Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition.

Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li

Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2014

Finding Vacant Taxis Using Large Scale GPS Traces.

Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

A Segment-Wise Method for Pseudo Periodic Time Series Prediction.

Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014