linda Qiao

发表

A systematic review of deep learning methods for modeling electrocardiograms during sleep

Chenxi Sun, Xiao-song Dong, F. Han, 2022, Physiological measurement.

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning

Shijia Geng, Ling Yang, Wen-Rang Zhang, 2022, ArXiv.

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

Jianliu Wang, Guoli Liu, Xiao-song Dong, 2022, Expert Systems with Applications.

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

Chenxi Sun, Moxian Song, D. Cai, 2022, CIKM.

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

Shijia Geng, Zhaoji Fu, Wen-Rang Zhang, 2022, BMC Medical Informatics and Decision Making.

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

Jose F. Rodrigues-Jr, Jimeng Sun, S. Matwin, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Meng Wu, Hongyan Li, Shenda Hong, 2018, ACML.

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

Q. Zhu, Shijia Geng, Rui Zhang, 2023, ArXiv.

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management

Rui Zhang, Shenda Hong, Zhaoji Fu, 2021, Sensors.

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

Shenda Hong, Zhaoji Fu, Rongbo Zhou, 2020, WWW.

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

Jimeng Sun, Cao Xiao, Junyuan Shang, 2019, Comput. Biol. Medicine.

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

Jimeng Sun, Shenda Hong, Alexey Tumanov, 2020, KDD.

Predicting Neurological Outcome in Comatose Patients after Cardiac Arrest with Multiscale Deep Neural Networks.

Jimeng Sun, M. Ghassemi, O. Wu, 2021, Resuscitation.

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

Hongyan Li, Shenda Hong, Jinbo Zhang, 2016, APWeb.

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

Shenda Hong, Ling Yang, linda Qiao, 2022, ICML.

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

Ling Yang, linda Qiao, 2022, ICML.

Classifying vaguely labeled data based on evidential fusion

Shenda Hong, Moxian Song, Chenxi Sun, 2021, Inf. Sci..

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings

Hongyan Li, Shenda Hong, Yuxi Zhou, 2019, Physiological measurement.

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

Shijia Geng, Zhaoji Fu, Wen-Rang Zhang, 2022, ArXiv.

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

Shenda Hong, Moxian Song, Chenxi Sun, 2021, SDM.

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

Hanshu Yan, Mengling Feng, Xiang Lan, 2023, ArXiv.

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

Hongyan Li, Chenxi Sun, Moxian Song, 2021, IJCAI.

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

Shenda Hong, Dianwen Ng, Mengling Feng, 2021, AAAI Conference on Artificial Intelligence.

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

Shenda Hong, Moxian Song, Chenxi Sun, 2020, ArXiv.

Spectral Propagation Graph Network for Few-shot Time Series Classification

Ling Yang, Luxia Zhang, linda Qiao, 2022, ArXiv.

ENCASE: An ENsemble ClASsifiEr for ECG classification using expert features and deep neural networks

Meng Wu, Hongyan Li, Shenda Hong, 2017, 2017 Computing in Cardiology (CinC).

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training

Shijia Geng, Jiahao Shao, Zhaoji Fu, 2022, ArXiv.

Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020

Hongyan Li, Chenxi Sun, Yuxi Zhou, 2022, Frontiers in Physiology.

CardioID: learning to identification from electrocardiogram data

Shenda Hong, Zhaoji Fu, Can Wang, 2020, Neurocomputing.

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

Shijia Geng, Shenda Hong, Wen-Rang Zhang, 2022, Biomed. Signal Process. Control..

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection

Hongyan Li, Shenda Hong, Yuxi Zhou, 2019, IJCAI.

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals

Jimeng Sun, Cao Xiao, Hongyan Li, 2019, IJCAI.

RDPD: Rich Data Helps Poor Data via Imitation pdf

Jimeng Sun, Cao Xiao, Shenda Hong, 2018, IJCAI.

A Review of Designs and Applications of Echo State Networks pdf

Hongyan Li, Shenda Hong, Moxian Song, 2020, ArXiv.

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

Shijia Geng, Zhaoji Fu, Wenrui Zhang, 2022, ArXiv.

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

Shenda Hong, Hongyan Li, Chenxi Sun, 2020, BMC Medical Informatics and Decision Making.

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

Shenda Hong, Junyuan Shang, Moxian Song, 2021, Biomed. Signal Process. Control..

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

Shenda Hong, Chenxi Sun, Moxian Song, 2022, Patterns.

Hypergraph Contrastive Learning for Electronic Health Records

Chenxi Sun, Moxian Song, D. Cai, 2022, SDM.

Building and training a deep spiking neural network for ECG classification

Shijia Geng, Shenda Hong, Yifei Feng, 2022, Biomed. Signal Process. Control..

Frozen Language Model Helps ECG Zero-Shot Learning

Jun Yu Li, R. Arcucci, Che Liu, 2023, MIDL.

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

Hongyan Li, Shenda Hong, Junyuan Shang, 2020, Neurocomputing.

Estimating causal effects of physical disability and number of comorbid chronic diseases on risk of depressive symptoms in an elderly Chinese population: a machine learning analysis of cross-sectional baseline data from the China longitudinal ageing social survey

Zhenjie Wang, Hanmo Yang, Chenxi Sun, 2023, BMJ Open.

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

Ling Yang, Luxia Zhang, linda Qiao, 2022, ArXiv.

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection

Shijia Geng, Wen-Rang Zhang, linda Qiao, 2022, ArXiv.

ViVA: Semi-supervised Visualization via Variational Autoencoders

Jimeng Sun, Sungtae An, linda Qiao, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Adaptive model training strategy for continuous classification of time series

Chenxi Sun, Moxian Song, D. Cai, 2023, Applied Intelligence.

Confidence-Guided Learning Process for Continuous Classification of Time Series

Shenda Hong, Chenxi Sun, Moxian Song, 2022, CIKM.

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

Chenxi Sun, Moxian Song, D. Cai, 2022, Inf. Sci..

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

Jimeng Sun, Shenda Hong, Yuxi Zhou, 2020, ArXiv.

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

Jimeng Sun, Cao Xiao, Shenda Hong, 2021, WWW.

A multi-model architecture based on deep learning for aircraft load prediction

Qian Wang, Yongjun Wang, Chenxi Sun, 2023, Communications Engineering.

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

Yaliang Li, Chenxi Sun, Hongyan Li, 2023, ArXiv.

Deep active learning for interictal ictal injury continuum EEG patterns

Jennifer A. Kim, Hiba A. Haider, Jimeng Sun, 2021, Journal of Neuroscience Methods.

Hypergraph Structure Learning for Hypergraph Neural Networks

Baofeng Zhang, Chenxi Sun, Moxian Song, 2022, IJCAI.

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence

Meng Wu, Shenda Hong, Yuxi Zhou, 2020, Sensors.

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

Shenda Hong, Zhaoji Fu, Can Wang, 2020, Comput. Methods Programs Biomed..

Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs

Jennifer A. Kim, Jennifer A. Williams, Kristen J. Nordstrom, 2022, Neurology.

Trajectory of worst pain within the first two weeks following pelvic and sacral tumor surgery and long-term outcome: a pilot observational prospective cohort study

Qingfen Zhang, Yaqing Wu, linda Qiao, 2023, BMC Anesthesiology.

Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation

Jennifer A. Kim, Jennifer A. Williams, Kristen J. Nordstrom, 2023, Neurology.

Dynamic granger causality analysis of multivariate time series based on deep learning

linda Qiao, Liu Bo, Li Honyan, 2022 .

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

Meng Wu, Hongyan Li, Shenda Hong, 2016, APWeb.

simpleNomo: A Python Package of Making Nomograms for Visualizable Calculation of Logistic Regression Models

linda Qiao, Haoyang Hong, 2023, Health Data Science.

Artificial Intelligence in Skin Diseases: Fulfilling its Potentials to Meet the Real Needs in Dermatology Practice

linda Qiao, Yicen Yan, Wensheng Zhang, 2022, Health Data Science.

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

Chenxi Sun, Moxian Song, D. Cai, 2023, Applied Intelligence.

A Systematic Review of Echo State Networks From Design to Application

Chenxi Sun, Moxian Song, D. Cai, 2024, IEEE Transactions on Artificial Intelligence.

Curriculum Design Helps Spiking Neural Networks to Classify Time Series

Chenxi Sun, Moxian Song, Hongyan Li, 2023, ArXiv.

Curricular and Cyclical Loss for Time Series Learning Strategy

Chenxi Sun, Moxian Song, D. Cai, 2023, 2312.15853.

Event2vec: Learning Representations of Events on Temporal Sequences

Meng Wu, Hongyan Li, Shenda Hong, 2017, APWeb/WAIM.

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

Meng Wu, Hongyan Li, Shenda Hong, 2017, PAKDD.

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition

Hongyan Li, Shenda Hong, Jinbo Zhang, 2016, AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI.

HITS: Binarizing physiological time series with deep hashing neural network

Zhaoji Fu, linda Qiao, Guodong Wei, 2022, Pattern Recognit. Lett..