Shenda Hong - RankMe

155 papers A* 20A 5C 2Journal 113Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling. CoRR Jun Li, Hongling Zhu, Yujie Xiao, Qinghao Zhao, Yalei Ke, Gongzheng Tang, Guangkun Nie, Deyun Zhang, Jin Li, Canqing Yu, Shenda Hong
2026	J	`jnl`	Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning. CoRR Jiaze Wang, Qinghao Zhao, Zizheng Chen, Zhejun Sun, Deyun Zhang, Yuxi Zhou, Shenda Hong
2026	J	`jnl`	Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment. CoRR Gongzheng Tang, Qinghao Zhao, Guangkun Nie, Yujie Xiao, Shijia Geng, Donglin Xie, Shun Huang, Deyun Zhang, Xingchen Yao, Jinwei Wang, Kangyin Chen, Luxia Zhang, Shenda Hong
2026	J	`jnl`	ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation. CoRR Jiarui Jin, Haoyu Wang, Xingliang Wu, Xiaocheng Fang, Xiang Lan, Zihan Wang, Deyun Zhang, Bo Liu, Yingying Zhang, Xian Wu, Hongyan Li, Shenda Hong
2026	J	`jnl`	ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Improves Cardiac Disease Classification and Phenotype Prediction. CoRR Xiaocheng Fang, Zhengyao Ding, Jieyi Cai, Yujie Xiao, Bo Liu, Jiarui Jin, Haoyu Wang, Guangkun Nie, Shun Huang, Ting Chen, Hongyan Li, Shenda Hong
2026	J	`jnl`	ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery. CoRR Deyun Zhang, Jun Li, Shijia Geng, Yue Wang, Shijie Chen, Sumei Fan, Qinghao Zha, Shenda Hong
2026	J	`jnl`	Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping. CoRR Donglin Xie, Qingshuo Zhao, Jingyu Wang, Shijia Geng, Jiarui Jin, Jun Li, Rongrong Guo, Guangkun Nie, Gongzheng Tang, Yuxi Zhou, Thomas Penzel, Shenda Hong
2026	A	`conf`	LLM-GC: Advancing Granger Causal Discovery from Time Series with Multimodel Language Modeling. WSDM Bo Liu, Hongyan Li, Shenda Hong
2026	J	`jnl`	MieDB-100k: A Comprehensive Dataset for Medical Image Editing. CoRR Yongfan Lai, Wen Qian, Bo Liu, Hongyan Li, Hao Luo, Fan Wang, Bohan Zhuang, Shenda Hong
2026	J	`jnl`	mtslearn: Machine Learning in Python for Medical Time Series. CoRR Zhongheng Jiang, Yuechao Zhao, Donglin Xie, Chenxi Sun, Rongchen Lu, Silu Luo, Zisheng Liang, Shenda Hong
2025	J	`jnl`	A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm. Biomed. Signal Process. Control. Jun Lei, Yuxi Zhou, Xue Tian, Qinghao Zhao, Qi Zhang, Shijia Geng, Qingbo Wu, Shenda Hong
2025	J	`jnl`	Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments. CoRR Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu, Meng Sang, Weilun Xu, Haixue Wang, Qinghao Zhao, Chuandong Cheng, Peng Wang, Shenda Hong
2025	J	`jnl`	AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals. CoRR Yujie Xiao, Gongzhen Tang, Wenhui Liu, Jun Li, Guangkun Nie, Zhuoran Kan, Deyun Zhang, Qinghao Zhao, Shenda Hong
2025	J	`jnl`	Artificial Intelligence-Enabled Spirometry for Early Detection of Right Heart Failure. CoRR Bin Liu, Qinghao Zhao, Yuxi Zhou, Zhejun Sun, Kaijie Lei, Deyun Zhang, Shijia Geng, Shenda Hong
2025	J	`jnl`	Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes. CoRR Jinshuai Gu, Zenghui Lin, Jingying Ma, Jingyu Wang, Linyan Zhang, Rui Bai, Zelin Tu, Youyou Jiang, Donglin Xie, Yuxi Zhou, Guoli Liu, Shenda Hong
2025	J	`jnl`	Case Prompting to Mitigate Large Language Model Bias for ICU Mortality Prediction. CoRR Gangxiong Zhang, Yongchao Long, Yong Zhang, Yuxi Zhou, Shenda Hong
2025	J	`jnl`	Combining ECG Foundation Model and XGBoost to Predict In-Hospital Malignant Ventricular Arrhythmias in AMI Patients. CoRR Shun Huang, Wenlu Xing, Shijia Geng, Hailong Wang, Guangkun Nie, Gongzheng Tang, Chenyang He, Shenda Hong
2025	J	`jnl`	Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health. npj Digit. Medicine Songchi Zhou, Ge Song, Haoqi Sun, Deyun Zhang, Yue Leng, M. Brandon Westover, Shenda Hong
2025	—	`conf`	Coordinating Music Signals and Electrocardiogram Signals in a Shared Valence-Arousal Emotional Space. ICIC (19) Jiaze Wang, Shijia Geng, Zizheng Chen, YuHu Han, Deyun Zhang, Weilun Xu, Lixin Wang, Yanqing Zhao, Shenda Hong, Yuxi Zhou
2025	J	`jnl`	Copy-Paste to Mitigate Large Language Model Hallucinations. CoRR Yongchao Long, Xian Wu, Yingying Zhang, Xianbin Wen, Yuxi Zhou, Shenda Hong
2025	J	`jnl`	Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search. Int. J. Medical Informatics Shichao Fang, Shenda Hong, Qing Li, Pengfei Li, Timothy J. Coats, Beiji Zou, Guilan Kong
2025	J	`jnl`	Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation. CoRR Jingying Ma, Jinwei Wang, Lanlan Lu, Yexiang Sun, Mengling Feng, Peng Shen, Zhiqin Jiang, Shenda Hong, Luxia Zhang
2025	A*	`conf`	DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series. ICDM Bo Liu, Hongyan Li, Shenda Hong
2025	J	`jnl`	DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information. Patterns Yongfan Lai, Jiabo Chen, Qinghao Zhao, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	J	`jnl`	DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. CoRR Yongfan Lai, Jiabo Chen, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	A*	`conf`	Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint. ICLR Guangkun Nie, Gongzheng Tang, Shenda Hong
2025	J	`jnl`	ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model. CoRR Yongfan Lai, Bo Liu, Xinyan Guan, Qinghao Zhao, Hongyan Li, Shenda Hong
2025	J	`jnl`	Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes. CoRR Yujie Xiao, Gongzhen Tang, Deyun Zhang, Jun Li, Guangkun Nie, Haoyu Wang, Shun Huang, Tong Liu, Qinghao Zhao, Kangyin Chen, Shenda Hong
2025	J	`jnl`	GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. CoRR Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
2025	J	`jnl`	KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease. CoRR Yongchao Long, Chao Yang, Gongzheng Tang, Jinwei Wang, Zhun Sui, Yuxi Zhou, Shenda Hong, Luxia Zhang
2025	J	`jnl`	MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations. CoRR Deyun Zhang, Xiang Lan, Shijia Geng, Qinghao Zhao, Sumei Fan, Mengling Feng, Shenda Hong
2025	J	`jnl`	Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images. CoRR Shanwei Zhang, Deyun Zhang, Yirao Tao, Kexin Wang, Shijia Geng, Jun Li, Qinghao Zhao, Xingpeng Liu, Yuxi Zhou, Shenda Hong
2025	J	`jnl`	PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection. CoRR Xiaocheng Fang, Jiarui Jin, Haoyu Wang, Che Liu, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong
2025	A*	`conf`	Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. ICLR Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
2025	J	`jnl`	Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. CoRR Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
2025	J	`jnl`	Reconstructing 12-Lead ECG from 3-Lead ECG using Variational Autoencoder to Improve Cardiac Disease Detection of Wearable ECG Devices. CoRR Xinyan Guan, Yongfan Lai, Jiarui Jin, Jun Li, Haoyu Wang, Qinghao Zhao, Deyun Zhang, Shijia Geng, Shenda Hong
2025	J	`jnl`	Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study. BMC Medical Informatics Decis. Mak. Haixue Wang, Jianwei Wang, Wei Jing, Shanshan Dai, Deyun Zhang, Shijia Geng, Haijun Wang, Shenda Hong
2025	J	`jnl`	Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG. CoRR Jiarui Jin, Xiaocheng Fang, Haoyu Wang, Jun Li, Che Liu, Donglin Xie, Hongyan Li, Shenda Hong
2025	J	`jnl`	Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing. IEEE Trans. Circuits Syst. Video Technol. Ling Yang, Yikai Zhao, Zhaochen Yu, Bohan Zeng, Minkai Xu, Shenda Hong, Bin Cui
2025	J	`jnl`	SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting. CoRR Shuhao Mei, Yongchao Long, Shan Cao, Xiaobo Han, Shijia Geng, Jinbo Sun, Yuxi Zhou, Shenda Hong
2025	J	`jnl`	UniECG: Understanding and Generating ECG in One Unified Model. CoRR Jiarui Jin, Haoyu Wang, Xiang Lan, Jun Li, Gaofeng Cheng, Hongyan Li, Shenda Hong
2024	J	`jnl`	A Large Medical Model based on Visual Physiological Monitoring for Public Health. CoRR Bin Huang, Changchen Zhao, Zimeng Liu, Shenda Hong, Baochang Zhang, Wenjin Wang, Hui Liu
2024	J	`jnl`	A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Trans. Neural Networks Learn. Syst. Chenxi Sun, Hongyan Li, Moxian Song, Shenda Hong
2024	J	`jnl`	A Review of Deep Learning Methods for Photoplethysmography Data. CoRR Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong
2024	J	`jnl`	A Systematic Review of Echo State Networks From Design to Application. IEEE Trans. Artif. Intell. Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2024	J	`jnl`	An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. CoRR Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari D. Clifford, M. Brandon Westover, Shenda Hong
2024	J	`jnl`	Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. CoRR Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong
2024	A*	`conf`	Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang
2024	J	`jnl`	Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks. Neural Comput. Appl. Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong
2024	J	`jnl`	Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. Health Inf. Sci. Syst. Chenyang Xu, Xin Li, Xinyue Zhang, Ruilin Wu, Yuxi Zhou, Qinghao Zhao, Yong Zhang, Shijia Geng, Yue Gu, Shenda Hong
2024	J	`jnl`	CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training. Biomed. Signal Process. Control. Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong
2024	J	`jnl`	Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
2024	J	`jnl`	Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health. CoRR Guangkun Nie, Qinghao Zhao, Gongzheng Tang, Jun Li, Shenda Hong
2024	J	`jnl`	Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study. CoRR Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong
2024	J	`jnl`	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 Zenghui Lin, Xintong Liu, Nan Wang, Ruichen Li, Qingao Liu, Jingying Ma, Liwei Wang, Yan Wang, Shenda Hong
2024	J	`jnl`	Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
2024	J	`jnl`	Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint. CoRR Guangkun Nie, Gongzheng Tang, Shenda Hong
2024	J	`jnl`	Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang
2024	J	`jnl`	Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
2024	J	`jnl`	Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
2024	J	`jnl`	Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG. CoRR Jiarong Chen, Wanqing Wu, Tong Liu, Shenda Hong
2024	A*	`conf`	Retrieval-Augmented Diffusion Models for Time Series Forecasting. NeurIPS Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
2024	J	`jnl`	Retrieval-Augmented Diffusion Models for Time Series Forecasting. CoRR Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
2024	J	`jnl`	Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	J	`jnl`	Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning. BMC Medical Informatics Decis. Mak. 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
2024	J	`jnl`	Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. IEEE Trans. Neural Networks Learn. Syst. Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong
2024	—	`conf`	Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. ECML/PKDD (9) Jingwei Liu, Hongyan Li, Shenda Hong
2024	A*	`conf`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
2024	J	`jnl`	Time pattern reconstruction for classification of irregularly sampled time series. Pattern Recognit. Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2024	A*	`conf`	Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2024	A*	`conf`	VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
2023	J	`jnl`	A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection. Biomed. Signal Process. Control. Wenrui Zhang, Shijia Geng, Shenda Hong
2023	J	`jnl`	Adaptive model training strategy for continuous classification of time series. Appl. Intell. Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2023	J	`jnl`	Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images. CoRR 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
2023	J	`jnl`	Continuous diagnosis and prognosis by controlling the update process of deep neural networks. Patterns Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2023	J	`jnl`	Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong
2023	—	`conf`	Frozen Language Model Helps ECG Zero-Shot Learning. MIDL Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	J	`jnl`	Frozen Language Model Helps ECG Zero-Shot Learning. CoRR Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, Shenda Hong
2023	A*	`conf`	Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
2023	J	`jnl`	Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. CoRR Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
2023	—	`conf`	Less is More: Reducing Overfitting in Deep Learning for EEG Classification. CinC Songchi Zhou, Shijia Geng, Jun Li, Deyun Zhang, Ziqian Xie, Chuandong Cheng, Shenda Hong
2023	J	`jnl`	SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. Appl. Intell. Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
2023	J	`jnl`	Self-sovereign identity empowered non-fungible patient tokenization for health information exchange using blockchain technology. Comput. Biol. Medicine Yan Zhuang, Chi-Ren Shyu, Shenda Hong, Pengfei Li, Luxia Zhang
2023	J	`jnl`	Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. Expert Syst. Appl. Jingyu Wang, Jingying Ma, Shenda Hong, Chi Zhang, Jianliu Wang, Linyan Zhang, Xinran Liu, Rui Bai, Xiaosong Dong, Guoli Liu, Fang Han
2023	J	`jnl`	TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong
2023	J	`jnl`	Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2023	J	`jnl`	VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
2022	J	`jnl`	A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings. CoRR Wenrui Zhang, Xinxin Di, Guodong Wei, Shijia Geng, Zhaoji Fu, Shenda Hong
2022	J	`jnl`	Building and training a deep spiking neural network for ECG classification. Biomed. Signal Process. Control. Yifei Feng, Shijia Geng, Jianjun Chu, Zhaoji Fu, Shenda Hong
2022	J	`jnl`	CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2022	J	`jnl`	Classifying vaguely labeled data based on evidential fusion. Inf. Sci. Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li
2022	A	`conf`	Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. CoRR Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong
2022	J	`jnl`	Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong
2022	A	`conf`	Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. CIKM Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	J	`jnl`	Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. CoRR Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong
2022	J	`jnl`	Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
2022	J	`jnl`	Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
2022	J	`jnl`	Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. Inf. Sci. Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong
2022	J	`jnl`	Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network. BMC Medical Informatics Decis. Mak. Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong
2022	A	`conf`	GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SDM Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
2022	J	`jnl`	HITS: Binarizing physiological time series with deep hashing neural network. Pattern Recognit. Lett. Zhaoji Fu, Can Wang, Guodong Wei, Wenrui Zhang, Shaofu Du, Shenda Hong
2022	A	`conf`	Hypergraph Contrastive Learning for Electronic Health Records. SDM Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	A*	`conf`	Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
2022	A*	`conf`	Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
2022	J	`jnl`	Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. CoRR Ling Yang, Shenda Hong, Luxia Zhang
2022	J	`jnl`	Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. CoRR Wenrui Zhang, Shijia Geng, Shenda Hong
2022	J	`jnl`	MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs. CoRR Wenrui Zhang, Shijia Geng, Zhaoji Fu, Linlin Zheng, Chenyang Jiang, Shenda Hong
2022	A*	`conf`	Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. ICML Ling Yang, Shenda Hong
2022	J	`jnl`	Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. CoRR Ling Yang, Shenda Hong
2022	J	`jnl`	Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2022	J	`jnl`	Spatial Autoregressive Coding for Graph Neural Recommendation. CoRR Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong
2022	J	`jnl`	Spectral Propagation Graph Network for Few-shot Time Series Classification. CoRR Ling Yang, Shenda Hong, Luxia Zhang
2022	A*	`conf`	Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. ICML Ling Yang, Shenda Hong
2021	A*	`conf`	AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. WWW Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
2021	J	`jnl`	Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management. Sensors Zhaoji Fu, Shenda Hong, Rui Zhang, Shaofu Du
2021	J	`jnl`	GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. CoRR Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li
2021	J	`jnl`	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. Shenda Hong, Can Wang, Zhaoji Fu
2021	J	`jnl`	Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
2021	J	`jnl`	Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. Biomed. Signal Process. Control. Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li
2021	J	`jnl`	Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Medical Informatics Decis. Mak. Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang
2021	A*	`conf`	TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. IJCAI Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li
2021	J	`jnl`	TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. CoRR Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li
2020	J	`jnl`	A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li
2020	J	`jnl`	A Review of Designs and Applications of Echo State Networks. CoRR Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li
2020	J	`jnl`	Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2020	J	`jnl`	CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2020	J	`jnl`	CardioID: learning to identification from electrocardiogram data. Neurocomputing Shenda Hong, Can Wang, Zhaoji Fu
2020	—	`conf`	CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. WWW (Companion Volume) Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng
2020	J	`jnl`	CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. CoRR Shenda Hong, Zhaoji Fu, Rongbo Zhou, Jie Yu, Yongkui Li, Kai Wang, Guanlin Cheng
2020	A*	`conf`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	J	`jnl`	HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020	J	`jnl`	Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li
2020	J	`jnl`	Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020	J	`jnl`	Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020	J	`jnl`	Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2020	A*	`conf`	ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM Sungtae An, Shenda Hong, Jimeng Sun
2019	A*	`conf`	K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. IJCAI Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie
2019	A*	`conf`	MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019	J	`jnl`	MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019	A*	`conf`	RDPD: Rich Data Helps Poor Data via Imitation. IJCAI Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
2018	C	`conf`	Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. ACML Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li
2018	J	`jnl`	RDPD: Rich Data Helps Poor Data via Imitation. CoRR Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2017	—	`conf`	Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. PAKDD (1) Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li
2017	—	`conf`	ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. CinC Shenda Hong, Meng Wu, Yuxi Zhou, Qingyun Wang, Junyuan Shang, Hongyan Li, Junqing Xie
2017	—	`conf`	Event2vec: Learning Representations of Events on Temporal Sequences. APWeb/WAIM (2) Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu
2017	—	`conf`	Finding the Typical Communication Black Hole in Big Data Environment. DMBD Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li
2017	—	`conf`	REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. DMBD Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li
2016	—	`conf`	A Novel Method for Mining Semantics from Patterns over ECG Data. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li
2016	—	`conf`	Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li
2016	—	`conf`	FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. APWeb (2) Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li
2016	—	`conf`	Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. APWeb (2) Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li
2014	C	`conf`	A Segment-Wise Method for Pseudo Periodic Time Series Prediction. ADMA Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li
2014	—	`conf`	Finding Vacant Taxis Using Large Scale GPS Traces. WAIM Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan