Shenda Hong

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 104

Top Venues

CoRR

IJCAI

Biomed. Signal Process. Control.

ICLR

Publications

Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. CoRR (2024)
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR (2024)
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR (2024)
Jiarong Chen, Wanqing Wu, Tong Liu, Shenda Hong
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG. CoRR (2024)
Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Chenxi Sun, Hongyan Li, Moxian Song, Shenda Hong
A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong
CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training. Biomed. Signal Process. Control. 91 (2024)
Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. Health Inf. Sci. Syst. 12 (1) (2024)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR (2024)
Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
A Systematic Review of Echo State Networks From Design to Application. IEEE Trans. Artif. Intell. 5 (1) (2024)
Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang
Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD (2024)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56 (4) (2024)
Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong
Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks. Neural Comput. Appl. 36 (8) (2024)
Bin Huang, Changchen Zhao, Zimeng Liu, Shenda Hong, Baochang Zhang, Wenjin Wang, Hui Liu
A Large Medical Model based on Visual Physiological Monitoring for Public Health. CoRR (2024)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
Time pattern reconstruction for classification of irregularly sampled time series. Pattern Recognit. 147 (2024)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR (2024)
Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study. CoRR (2024)
Zenghui Lin, Xintong Liu, Nan Wang, Ruichen Li, Qingao Liu, Jingying Ma, Liwei Wang, Yan Wang, Shenda Hong
Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data. CoRR (2024)
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR (2024)
Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong
A Review of Deep Learning Methods for Photoplethysmography Data. CoRR (2024)
Guangkun Nie, Qinghao Zhao, Gongzheng Tang, Jun Li, Shenda Hong
Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health. CoRR (2024)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR (2024)
Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. Appl. Intell. 53 (18) (2023)
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR (2023)
Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong
Less is More: Reducing Overfitting in Deep Learning for EEG Classification. CinC (2023)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
Continuous diagnosis and prognosis by controlling the update process of deep neural networks. Patterns 4 (2) (2023)
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR (2023)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
Adaptive model training strategy for continuous classification of time series. Appl. Intell. 53 (15) (2023)
Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR (2023)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS (2023)
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
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images. CoRR (2023)
Jingyu Wang, Jingying Ma, Shenda Hong, Chi Zhang, Jianliu Wang, Linyan Zhang, Xinran Liu, Rui Bai, Xiaosong Dong, Guoli Liu, Fang Han
Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. Expert Syst. Appl. 213 (Part) (2023)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR (2023)
Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. CoRR (2023)
Wenrui Zhang, Shijia Geng, Shenda Hong
A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection. Biomed. Signal Process. Control. 79 (Part) (2023)
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL (2023)
Yan Zhuang, Chi-Ren Shyu, Shenda Hong, Pengfei Li, Luxia Zhang
Self-sovereign identity empowered non-fungible patient tokenization for health information exchange using blockchain technology. Comput. Biol. Medicine 157 (2023)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR (2023)
Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. CoRR (2022)
Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
Classifying vaguely labeled data based on evidential fusion. Inf. Sci. 583 (2022)
Ling Yang, Shenda Hong, Luxia Zhang
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. CoRR (2022)
Ling Yang, Shenda Hong
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. ICML (2022)
Zhaoji Fu, Can Wang, Guodong Wei, Wenrui Zhang, Shaofu Du, Shenda Hong
HITS: Binarizing physiological time series with deep hashing neural network. Pattern Recognit. Lett. 156 (2022)
Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. CoRR (2022)
Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li
Hypergraph Contrastive Learning for Electronic Health Records. SDM (2022)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Ling Yang, Shenda Hong
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. CoRR (2022)
Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong
Spatial Autoregressive Coding for Graph Neural Recommendation. CoRR (2022)
Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu, Shenda Hong
Building and training a deep spiking neural network for ECG classification. Biomed. Signal Process. Control. 77 (2022)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR (2022)
Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM (2022)
Wenrui Zhang, Shijia Geng, Zhaoji Fu, Linlin Zheng, Chenyang Jiang, Shenda Hong
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs. CoRR (2022)
Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. CIKM (2022)
Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR (2022)
Ling Yang, Shenda Hong, Luxia Zhang
Spectral Propagation Graph Network for Few-shot Time Series Classification. CoRR (2022)
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR (2022)
Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI (2022)
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI (2022)
Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. Inf. Sci. 609 (2022)
Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SDM (2022)
Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings. CoRR (2022)
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Wenrui Zhang, Shijia Geng, Shenda Hong
Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. CoRR (2022)
Ling Yang, Shenda Hong
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. ICML (2022)
Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR (2022)
Zhaoji Fu, Shenda Hong, Rui Zhang, Shaofu Du
Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management. Sensors 21 (3) (2021)
Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. CoRR (2021)
Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. Biomed. Signal Process. Control. 69 (2021)
Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. IJCAI (2021)
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR (2021)
Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. CoRR (2021)
Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. WWW (2021)
Shenda Hong, Can Wang, Zhaoji Fu
Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates. Comput. Methods Programs Biomed. 200 (2021)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR (2020)
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR (2020)
Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li
A Review of Designs and Applications of Echo State Networks. CoRR (2020)
Sungtae An, Shenda Hong, Jimeng Sun
ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM (2020)
Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. CoRR (2020)
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR (2020)
Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng
CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. WWW (Companion Volume) (2020)
Shenda Hong, Can Wang, Zhaoji Fu
CardioID: learning to identification from electrocardiogram data. Neurocomputing 412 (2020)
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine 122 (2020)
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors 20 (24) (2020)
Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing 417 (2020)
Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR (2020)
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI (2019)
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. IJCAI (2019)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI (2019)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR (2019)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
RDPD: Rich Data Helps Poor Data via Imitation. CoRR (2018)
Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. ACML (2018)
Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li
Finding the Typical Communication Black Hole in Big Data Environment. DMBD (2017)
Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li
REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. DMBD (2017)
Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li
Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. PAKDD (1) (2017)
Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. CinC (2017)
Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu
Event2vec: Learning Representations of Events on Temporal Sequences. APWeb/WAIM (2) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shenda Hong