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2020 – today
- 2025
[j33]Jun Lei
, Yuxi Zhou, Xue Tian, Qinghao Zhao, Qi Zhang, Shijia Geng, Qingbo Wu, Shenda Hong:
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm. Biomed. Signal Process. Control. 100: 107028 (2025)- 2024
- [j32]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: 105922 (2024) - [j31]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): 105:1-105:39 (2024) - [j30]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): 2 (2024) - [j29]Zhengkai Xue, Shijia Geng, Shaohua Guo, Guanyu Mu, Bo Yu, Peng Wang, Sutao Hu, Deyun Zhang, Weilun Xu, Yanhong Liu, Lei Yang, Huayue Tao, Shenda Hong, Kangyin Chen:
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning. BMC Medical Informatics Decis. Mak. 24(1): 355 (2024) - [j28]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): 4047-4058 (2024) - [j27]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: 110075 (2024) - [j26]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): 23-37 (2024) - [j25]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): 682-693 (2024) - [j24]Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. 36(11): 6358-6369 (2024) - [j23]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): 11194-11203 (2024) - [j22]Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong:
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16129-16138 (2024) - [c36]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR 2024 - [c35]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 - [c34]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR 2024 - [c33]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: 6720-6721 - [c32]Jingwei Liu, Hongyan Li, Shenda Hong:
Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. ECML/PKDD (9) 2024: 271-286 - [i44]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 abs/2401.02015 (2024) - [i43]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR abs/2401.10257 (2024) - [i42]Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong:
A Review of Deep Learning Methods for Photoplethysmography Data. CoRR abs/2401.12783 (2024) - [i41]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 abs/2401.15337 (2024) - [i40]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR abs/2404.16886 (2024) - [i39]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 abs/2405.03239 (2024) - [i38]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 abs/2406.07558 (2024) - [i37]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 abs/2406.14953 (2024) - [i36]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 abs/2407.04753 (2024) - [i35]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 abs/2407.11481 (2024) - [i34]Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong:
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. CoRR abs/2410.04133 (2024) - [i33]Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong:
Retrieval-Augmented Diffusion Models for Time Series Forecasting. CoRR abs/2410.18712 (2024) - 2023
- [j21]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): 18821-18839 (2023) - [j20]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): 20785-20796 (2023) - [j19]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): 104194 (2023) - [j18]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: 106778 (2023) - [j17]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): 119244 (2023) - [j16]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): 100687 (2023) - [c31]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: 1-4 - [c30]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. MIDL 2023: 402-415 - [c29]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 - [i32]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR abs/2302.03357 (2023) - [i31]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 abs/2302.10301 (2023) - [i30]Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong:
Frozen Language Model Helps ECG Zero-Shot Learning. CoRR abs/2303.12311 (2023) - [i29]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 abs/2306.15902 (2023) - [i28]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 abs/2308.02117 (2023) - [i27]Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR abs/2308.08241 (2023) - [i26]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR abs/2312.15853 (2023) - 2022
- [j15]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: 103749 (2022) - [j14]Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li:
Classifying vaguely labeled data based on evidential fusion. Inf. Sci. 583: 159-173 (2022) - [j13]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: 1169-1180 (2022) - [j12]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): 295 (2022) - [j11]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): 5368-5384 (2022) - [j10]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: 23-28 (2022) - [j9]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): 531-543 (2022) - [c28]Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI 2022: 4532-4540 - [c27]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: 3843-3847 - [c26]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM 2022: 4525-4529 - [c25]Ling Yang, Shenda Hong:
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. ICML 2022: 25022-25037 - [c24]Ling Yang, Shenda Hong:
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. ICML 2022: 25038-25054 - [c23]Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI 2022: 1923-1929 - [c22]Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Contrastive Learning for Electronic Health Records. SDM 2022: 127-135 - [c21]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: 451-458 - [i25]Ling Yang, Shenda Hong, Luxia Zhang:
Spectral Propagation Graph Network for Few-shot Time Series Classification. CoRR abs/2202.04769 (2022) - [i24]Ling Yang, Shenda Hong, Luxia Zhang:
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. CoRR abs/2202.04770 (2022) - [i23]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 abs/2202.12450 (2022) - [i22]Wenrui Zhang, Shijia Geng, Shenda Hong:
Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. CoRR abs/2202.12458 (2022) - [i21]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 abs/2203.00512 (2022) - [i20]Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong:
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. CoRR abs/2203.09487 (2022) - [i19]Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong:
Spatial Autoregressive Coding for Graph Neural Recommendation. CoRR abs/2205.09489 (2022) - [i18]Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong:
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR abs/2205.09928 (2022) - [i17]Ling Yang, Shenda Hong:
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. CoRR abs/2205.15746 (2022) - [i16]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR abs/2208.06883 (2022) - [i15]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 abs/2209.00796 (2022) - [i14]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 abs/2210.02719 (2022) - [i13]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 abs/2211.11138 (2022) - 2021
- [j8]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: 102847 (2021) - [j7]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: 105847 (2021) - [j6]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): 45 (2021) - [j5]Zhaoji Fu, Shenda Hong, Rui Zhang, Shaofu Du:
Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management. Sensors 21(3): 773 (2021) - [c20]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: 3010-3016 - [c19]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: 3569-3581 - [i12]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 abs/2105.00412 (2021) - [i11]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 abs/2108.13858 (2021) - [i10]Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR abs/2109.08908 (2021) - 2020
- [j4]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: 103801 (2020) - [j3]Shenda Hong, Can Wang, Zhaoji Fu:
CardioID: learning to identification from electrocardiogram data. Neurocomputing 412: 11-18 (2020) - [j2]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: 64-73 (2020) - [j1]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): 7307 (2020) - [c18]Sungtae An, Shenda Hong, Jimeng Sun:
ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM 2020: 22-31 - [c17]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: 1614-1624 - [c16]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: 148-152 - [i9]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR abs/2001.01550 (2020) - [i8]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR abs/2005.10918 (2020) - [i7]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 abs/2007.02165 (2020) - [i6]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 abs/2008.04063 (2020) - [i5]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 abs/2008.12833 (2020) - [i4]Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li:
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR abs/2010.12493 (2020) - [i3]Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li:
A Review of Designs and Applications of Echo State Networks. CoRR abs/2012.02974 (2020)
2010 – 2019
- 2019
- [c15]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c14]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c13]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: 6057-6063 - [i2]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - 2018
- [c12]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: 831-846 - [i1]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. CoRR abs/1809.01921 (2018) - 2017
- [c11]Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu:
Event2vec: Learning Representations of Events on Temporal Sequences. APWeb/WAIM (2) 2017: 33-47 - [c10]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 - [c9]Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li:
Finding the Typical Communication Black Hole in Big Data Environment. DMBD 2017: 255-262 - [c8]Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li:
REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. DMBD 2017: 326-333 - [c7]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: 671-682 - 2016
- [c6]Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li:
Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c5]Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li:
A Novel Method for Mining Semantics from Patterns over ECG Data. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c4]Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li:
Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. APWeb (2) 2016: 56-67 - [c3]Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li:
FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. APWeb (2) 2016: 389-392 - 2014
- [c2]Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li:
A Segment-Wise Method for Pseudo Periodic Time Series Prediction. ADMA 2014: 461-474 - [c1]Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan:
Finding Vacant Taxis Using Large Scale GPS Traces. WAIM 2014: 793-804
Coauthor Index
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last updated on 2024-12-03 20:27 CET by the dblp team
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