b'Shenda Hong'

research

∙ 08/16/2023

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

This work summarizes two strategies for completing time-series (TS) task...

0 Chenxi Sun, et al. ∙

research

∙ 08/04/2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs

Graph Neural Networks (GNNs) conduct message passing which aggregates lo...

0 Ling Yang, et al. ∙

research

∙ 06/28/2023

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

Out-of-distribution (OOD) graph generalization are critical for many rea...

0 Ling Yang, et al. ∙

research

∙ 03/22/2023

Frozen Language Model Helps ECG Zero-Shot Learning

The electrocardiogram (ECG) is one of the most commonly used non-invasiv...

0 Jun Li, et al. ∙

research

∙ 02/07/2023

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

Not all positive pairs are beneficial to time series contrastive learnin...

0 Xiang Lan, et al. ∙

research

∙ 10/06/2022

Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks

Continuous diagnosis and prognosis are essential for intensive care pati...

0 Chenxi Sun, et al. ∙

research

∙ 09/02/2022

Diffusion Models: A Comprehensive Survey of Methods and Applications

Diffusion models are a class of deep generative models that have shown i...

256 Ling Yang, et al. ∙

research

∙ 08/14/2022

Confidence-Guided Learning Process for Continuous Classification of Time Series

In the real world, the class of a time series is usually labeled at the ...

0 Chenxi Sun, et al. ∙

research

∙ 05/31/2022

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

Unsupervised/self-supervised graph representation learning is critical f...

6 Ling Yang, et al. ∙

research

∙ 05/20/2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning

Unsupervised/self-supervised representation learning in time series is c...

19 Wenrui Zhang, et al. ∙

research

∙ 05/19/2022

Spatial Autoregressive Coding for Graph Neural Recommendation

Graph embedding methods including traditional shallow models and deep Gr...

16 Jiayi Zheng, et al. ∙

research

∙ 03/14/2022

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training

In clinics, doctors rely on electrocardiograms (ECGs) to assess severe c...

0 Jiahao Shao, et al. ∙

research

∙ 02/26/2022

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

With the development of deep learning-based methods, automated classific...

0 Wenrui Zhang, et al. ∙

research

∙ 02/25/2022

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection

Learning representations from electrocardiogram (ECG) serves as a fundam...

0 Wenrui Zhang, et al. ∙

research

∙ 02/25/2022

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

Ventricular arrhythmias (VA) are the main causes of sudden cardiac death...

0 Wenrui Zhang, et al. ∙

research

∙ 02/08/2022

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

Unsupervised/self-supervised time series representation learning is a ch...

12 Ling Yang, et al. ∙

research

∙ 02/08/2022

Spectral Propagation Graph Network for Few-shot Time Series Classification

Few-shot Time Series Classification (few-shot TSC) is a challenging prob...

7 Ling Yang, et al. ∙

research

∙ 09/18/2021

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

Learning information-rich and generalizable representations effectively ...

0 Xiang Lan, et al. ∙

research

∙ 08/31/2021

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

Since data is presented long-tailed in reality, it is challenging for Fe...

0 Yen-Hsiu Chou, et al. ∙

research

∙ 05/02/2021

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

Prediction based on Irregularly Sampled Time Series (ISTS) is of wide co...

0 Chenxi Sun, et al. ∙

research

∙ 12/05/2020

A Review of Designs and Applications of Echo State Networks

Recurrent Neural Networks (RNNs) have demonstrated their outstanding abi...

0 Chenxi Sun, et al. ∙

research

∙ 10/23/2020

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

Irregularly sampled time series (ISTS) data has irregular temporal inter...

0 Chenxi Sun, et al. ∙

research

∙ 08/28/2020

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

Time-series forecasting is one of the most active research topics in pre...

54 Gabriel Spadon, et al. ∙

research

∙ 08/10/2020

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

Deep learning models have achieved expert-level performance in healthcar...

0 Shenda Hong, et al. ∙

research

∙ 07/04/2020

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

Electrocardiogram (ECG) is one of the most convenient and non-invasive t...

0 Shenda Hong, et al. ∙

research

∙ 05/21/2020

CHEER: Rich Model Helps Poor Model via Knowledge Infusion

There is a growing interest in applying deep learning (DL) to healthcare...

0 Cao Xiao, et al. ∙

research

∙ 12/28/2019

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

Objective: To conduct a systematic review of deep learning methods on El...

0 Shenda Hong, et al. ∙

research

∙ 05/27/2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals

Electrocardiography (ECG) signals are commonly used to diagnose various ...

0 Shenda Hong, et al. ∙

research

∙ 09/06/2018

RDPD: Rich Data Helps Poor Data via Imitation

In many situations, we have both rich- and poor- data environments: in a...

0 Shenda Hong, et al. ∙

Shenda Hong

Featured Co-authors