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

[BibT_eX]

[DOI]

Zenghui Lin

Xintong Liu

CoRR, 2024

A Review of Deep Learning Methods for Photoplethysmography Data.

[BibT_eX]

[DOI]

CoRR, 2024

Curriculum Design Helps Spiking Neural Networks to Classify Time Series.

[BibT_eX]

[DOI]

CoRR, 2024

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models.

[BibT_eX]

[DOI]

Jingwei Liu

Hongyan Li

Shenda Hong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

[BibT_eX]

[DOI]

Appl. Intell., September, 2023

Adaptive model training strategy for continuous classification of time series.

[BibT_eX]

[DOI]

Appl. Intell., August, 2023

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

[BibT_eX]

[DOI]

Comput. Biol. Medicine, May, 2023

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

[BibT_eX]

[DOI]

Patterns, February, 2023

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Curricular and Cyclical Loss for Time Series Learning Strategy.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Wenrui Zhang

Shijia Geng

Shenda Hong

Biomed. Signal Process. Control., 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

2022

CHEER: Rich Model Helps Poor Model via Knowledge Infusion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2022

Classifying vaguely labeled data based on evidential fusion.

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

Inf. Sci., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Spatial Autoregressive Coding for Graph Neural Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Ling Yang

Shenda Hong

Luxia Zhang

CoRR, 2022

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

[BibT_eX]

[DOI]

Ling Yang

Shenda Hong

Luxia Zhang

CoRR, 2022

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

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

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

[BibT_eX]

[DOI]

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

Hypergraph Contrastive Learning for Electronic Health Records.

[BibT_eX]

[DOI]

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

Hypergraph Structure Learning for Hypergraph Neural Networks.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Ling Yang

Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Ling Yang

Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., December, 2021

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

[BibT_eX]

[DOI]

Sensors, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2020

CardioID: learning to identification from electrocardiogram data.

[BibT_eX]

[DOI]

Shenda Hong

Can Wang

Zhaoji Fu

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

A Review of Designs and Applications of Echo State Networks.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

ViVA: Semi-supervised Visualization via Variational Autoencoders.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

RDPD: Rich Data Helps Poor Data via Imitation.

[BibT_eX]

[DOI]

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

2018

RDPD: Rich Data Helps Poor Data via Imitation.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Finding the Typical Communication Black Hole in Big Data Environment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2017

Event2vec: Learning Representations of Events on Temporal Sequences.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition.

[BibT_eX]

[DOI]

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

2014

Finding Vacant Taxis Using Large Scale GPS Traces.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Shenda Hong

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