A Segment-Wise Method for Pseudo Periodic Time Series Prediction. - Ning Yin; Shanshan Wang; Shenda Hong; Hongyan Li 002 (ADMA, 2014)

Finding Vacant Taxis Using Large Scale GPS Traces. - Zhen Qiu; Hongyan Li 002; Shenda Hong; Yiyong Lin 003; Nana Fan; Gaoyan Ou; Tengjiao Wang 003; Lilue Fan (WAIM, 2014)

Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. - Shenda Hong; Zhen Qiu; Jinbo Zhang; Hongyan Li 002 (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

A Novel Method for Mining Semantics from Patterns over ECG Data. - Zhen Qiu; Feifei Li 003; Shenda Hong; Hongyan Li 002 (AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, 2016)

FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. - Yiyong Lin 003; Jinbo Zhang; Yuanxiang Ying; Shenda Hong; Hongyan Li 002 (APWeb (2), 2016)

Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. - Meng Wu; Zhen Qiu; Shenda Hong; Hongyan Li 002 (APWeb (2), 2016)

Event2vec: Learning Representations of Events on Temporal Sequences. - Shenda Hong; Meng Wu; Hongyan Li 002; Zhengwu Wu (APWeb/WAIM (2), 2017)

ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. - Shenda Hong; Meng Wu; Yuxi Zhou; Qingyun Wang; Junyuan Shang; Hongyan Li 002; Junqing Xie (CinC, 2017)

REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. - Jinbo Zhang; Yipeng Chen; Shenda Hong; Hongyan Li 002 (DMBD, 2017)

Finding the Typical Communication Black Hole in Big Data Environment. - Jinbo Zhang; Shenda Hong; Yiyong Lin 003; Yanchao Mou; Hongyan Li 002 (DMBD, 2017)

Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. - Shenda Hong; Meng Wu; Jinbo Zhang; Hongyan Li 002 (PAKDD (1), 2017)

Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. - Junyuan Shang; Shenda Hong; Yuxi Zhou; Meng Wu; Hongyan Li 002 (ACML, 2018)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (CoRR, 2018)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Trong Nghia Hoang; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. - Yuxi Zhou; Shenda Hong; Junyuan Shang; Meng Wu; Qingyun Wang; Hongyan Li 002; Junqing Xie (IJCAI, 2019)

ViVA: Semi-supervised Visualization via Variational Autoencoders. - Sungtae An; Shenda Hong; Jimeng Sun 001 (ICDM, 2020)

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. - Shenda Hong; Yanbo Xu; Alind Khare; Satria Priambada; Kevin O. Maher; Alaa Aljiffry; Jimeng Sun 001; Alexey Tumanov (KDD, 2020)

CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram. - Shenda Hong; Zhaoji Fu; Rongbo Zhou; Jie Yu; Yongkui Li; Kai Wang; Guanlin Cheng (WWW (Companion Volume), 2020)

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. - Shenda Hong; Yuxi Zhou; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (Comput. Biol. Medicine, 2020)

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002 (CoRR, 2020)

A Review of Designs and Applications of Echo State Networks. - Chenxi Sun; Moxian Song; Shenda Hong; Hongyan Li 002 (CoRR, 2020)

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. - Yen-hsiu Chou; Shenda Hong; Yuxi Zhou; Junyuan Shang; Moxian Song; Hongyan Li 002 (Neurocomputing, 2020)

CardioID: learning to identification from electrocardiogram data. - Shenda Hong; Can Wang 007; Zhaoji Fu (Neurocomputing, 2020)

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. - Yuxi Zhou; Shenda Hong; Junyuan Shang; Meng Wu; Qingyun Wang; Hongyan Li 002; Junqing Xie (Sensors, 2020)

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Yen-hsiu Chou; Yongyue Sun; Derun Cai; Hongyan Li 002 (IJCAI, 2021)

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. - Trong Nghia Hoang; Shenda Hong; Cao Xiao; Bryan Low; Jimeng Sun 001 (WWW, 2021)

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. - Chenxi Sun; Shenda Hong; Moxian Song; Junyuan Shang; Hongyan Li 002 (Biomed. Signal Process. Control., 2021)

Gated temporal convolutional neural network and expert features for diagnosing and explaining physiological time series: A case study on heart rates. - Shenda Hong; Can Wang 007; Zhaoji Fu (Comput. Methods Programs Biomed., 2021)

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Yanxiu Zhou; Yongyue Sun; Derun Cai; Hongyan Li 002 (CoRR, 2021)

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management. - Zhaoji Fu; Shenda Hong; Rui Zhang 054; Shaofu Du (Sensors, 2021)

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002; Zhenjie Wang (BMC Medical Informatics Decis. Mak., 2021)

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. - Xiang Lan 004; Dianwen Ng; Shenda Hong; Mengling Feng (AAAI, 2022)

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. - Derun Cai; Moxian Song; Chenxi Sun; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (CIKM, 2022)

Confidence-Guided Learning Process for Continuous Classification of Time Series. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (CIKM, 2022)

Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. - Ling Yang 006; Shenda Hong (ICML, 2022)

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. - Ling Yang 006; Shenda Hong (ICML, 2022)

Hypergraph Structure Learning for Hypergraph Neural Networks. - Derun Cai; Moxian Song; Chenxi Sun; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IJCAI, 2022)

Hypergraph Contrastive Learning for Electronic Health Records. - Derun Cai; Chenxi Sun; Moxian Song; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (SDM, 2022)

GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. - Yen-hsiu Chou; Shenda Hong; Chenxi Sun; Derun Cai; Moxian Song; Hongyan Li 002 (SDM, 2022)

Building and training a deep spiking neural network for ECG classification. - Yifei Feng; Shijia Geng; Jianjun Chu; Zhaoji Fu; Shenda Hong (Biomed. Signal Process. Control., 2022)

Spectral Propagation Graph Network for Few-shot Time Series Classification. - Ling Yang 006; Shenda Hong; Luxia Zhang (CoRR, 2022)

Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. - Ling Yang 006; Shenda Hong; Luxia Zhang (CoRR, 2022)

MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs. - Wenrui Zhang; Shijia Geng; Zhaoji Fu; Linlin Zheng; Chenyang Jiang; Shenda Hong (CoRR, 2022)

Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection. - Wenrui Zhang; Shijia Geng; Shenda Hong (CoRR, 2022)

A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings. - Wenrui Zhang; Xinxin Di; Guodong Wei; Shijia Geng; Zhaoji Fu; Shenda Hong (CoRR, 2022)

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. - Jiahao Shao; Shijia Geng; Zhaoji Fu; Weilun Xu; Tong Liu; Shenda Hong (CoRR, 2022)

Spatial Autoregressive Coding for Graph Neural Recommendation. - Jiayi Zheng; Ling Yang 006; Heyuan Wang 001; Cheng Yang; Yinghong Li; Xiaowei Hu; Shenda Hong (CoRR, 2022)

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. - Wenrui Zhang; Ling Yang 006; Shijia Geng; Shenda Hong (CoRR, 2022)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Yingxia Shao; Wentao Zhang 001; Ming-Hsuan Yang 001; Bin Cui 001 (CoRR, 2022)

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. - Ling Yang 006; Zhilin Huang; Yang Song 011; Shenda Hong; Guohao Li 001; Wentao Zhang 001; Bin Cui 001; Bernard Ghanem; Ming-Hsuan Yang 001 (CoRR, 2022)

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. - Moxian Song; Hongyan Li 002; Chenxi Sun; Derun Cai; Shenda Hong (Inf. Sci., 2022)

Classifying vaguely labeled data based on evidential fusion. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Inf. Sci., 2022)

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network. - Guodong Wei; Xinxin Di; Wenrui Zhang; Shijia Geng; Deyun Zhang; Kai Wang; Zhaoji Fu; Shenda Hong (BMC Medical Informatics Decis. Mak., 2022)

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. - Gabriel Spadon; Shenda Hong; Bruno Brandoli; Stan Matwin; José F. Rodrigues Jr.; Jimeng Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

HITS: Binarizing physiological time series with deep hashing neural network. - Zhaoji Fu; Can Wang 007; Guodong Wei; Wenrui Zhang; Shaofu Du; Shenda Hong (Pattern Recognit. Lett., 2022)

CHEER: Rich Model Helps Poor Model via Knowledge Infusion. - Cao Xiao; Trong Nghia Hoang; Shenda Hong; Tengfei Ma 001; Jimeng Sun 001 (IEEE Trans. Knowl. Data Eng., 2022)

Less is More: Reducing Overfitting in Deep Learning for EEG Classification. - Songchi Zhou; Shijia Geng; Jun Li; Deyun Zhang; Ziqian Xie; Chuandong Cheng; Shenda Hong (CinC, 2023)

Frozen Language Model Helps ECG Zero-Shot Learning. - Jun Li; Che Liu; Sibo Cheng; Rossella Arcucci; Shenda Hong (MIDL, 2023)

Improving Diffusion-Based Image Synthesis with Context Prediction. - Ling Yang 006; Jingwei Liu; Shenda Hong; Zhilong Zhang; Zhilin Huang; Zheming Cai; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2023)

A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection. - Wenrui Zhang; Shijia Geng; Shenda Hong (Biomed. Signal Process. Control., 2023)

Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (CoRR, 2023)

Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images. - Deyun Zhang; Shijia Geng; Yang Zhou; Weilun Xu; Guodong Wei; Kai Wang; Jie Yu; Qiang Zhu; Yongkui Li; Yonghong Zhao; Xingyue Chen; Rui Zhang 054; et al. (CoRR, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Curricular and Cyclical Loss for Time Series Learning Strategy. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2023)

Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. - Jingyu Wang; Jingying Ma; Shenda Hong; Chi Zhang; Jianliu Wang; Linyan Zhang; Xinran Liu; Rui Bai; Xiaosong Dong; Guoli Liu; Fang Han (Expert Syst. Appl., 2023)

Continuous diagnosis and prognosis by controlling the update process of deep neural networks. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Patterns, 2023)

Self-sovereign identity empowered non-fungible patient tokenization for health information exchange using blockchain technology. - Yan Zhuang; Chi-Ren Shyu; Shenda Hong; Pengfei Li; Luxia Zhang (Comput. Biol. Medicine, 2023)

Adaptive model training strategy for continuous classification of time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Appl. Intell., 2023)

SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Appl. Intell., 2023)

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (ICLR, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (ICLR, 2024)

Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. - Shenda Hong; Daoxin Yin; Gongzheng Tang; Tianfan Fu; Liantao Ma; Junyi Gao; Mengling Feng; Mai Wang; Yu Yang; Fei Wang 001; Hongfang Liu; Luxia Zhang (KDD, 2024)

Retrieval-Augmented Diffusion Models for Time Series Forecasting. - Jingwei Liu; Ling Yang 006; Hongyan Li 002; Shenda Hong (NeurIPS, 2024)

Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. - Jingwei Liu; Hongyan Li 002; Shenda Hong (ECML/PKDD (9), 2024)

CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training. - Jiahao Shao; Shijia Geng; Zhaoji Fu; Weilun Xu; Tong Liu; Shenda Hong (Biomed. Signal Process. Control., 2024)

Curriculum Design Helps Spiking Neural Networks to Classify Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2024)

A Review of Deep Learning Methods for Photoplethysmography Data. - Guangkun Nie; Jiabao Zhu; Gongzheng Tang; Deyun Zhang; Shijia Geng; Qinghao Zhao; Shenda Hong (CoRR, 2024)

Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data. - Zenghui Lin; Xintong Liu; Nan Wang; Ruichen Li; Qingao Liu; Jingying Ma; Liwei Wang 010; Yan Wang; Shenda Hong (CoRR, 2024)

Review of Data-centric Time Series Analysis from Sample, Feature, and Period. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (CoRR, 2024)

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study. - Shuhao Mei; Yuxi Zhou; Jiahao Xu; Yuxuan Wan; Shan Cao; Qinghao Zhao; Shijia Geng; Junqing Xie; Shenda Hong (CoRR, 2024)

A Large Medical Model based on Visual Physiological Monitoring for Public Health. - Bin Huang; Changchen Zhao; Zimeng Liu; Shenda Hong; Baochang Zhang 001; Wenjin Wang; Hui Liu (CoRR, 2024)

Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health. - Guangkun Nie; Qinghao Zhao; Gongzheng Tang; Jun Li; Shenda Hong (CoRR, 2024)

Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. - Songchi Zhou; Ge Song; Haoqi Sun; Yue Leng; M. Brandon Westover; Shenda Hong (CoRR, 2024)

Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG. - Jiarong Chen; Wanqing Wu; Tong Liu; Shenda Hong (CoRR, 2024)

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. - Jun Li; Aaron Aguirre; Junior Moura; Che Liu; Lanhai Zhong; Chenxi Sun; Gari D. Clifford; M. Brandon Westover; Shenda Hong (CoRR, 2024)

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks. - Wenrui Zhang; Xinxin Di; Guodong Wei; Shijia Geng; Zhaoji Fu; Shenda Hong (Neural Comput. Appl., 2024)

A Systematic Review of Echo State Networks From Design to Application. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IEEE Trans. Artif. Intell., 2024)

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. - Ling Yang 006; Jiayi Zheng; Heyuan Wang 001; Zhongyi Liu; Zhilin Huang; Shenda Hong; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2024)

Time pattern reconstruction for classification of irregularly sampled time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Pattern Recognit., 2024)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Wentao Zhang 001; Bin Cui 001; Ming-Hsuan Yang 001 (ACM Comput. Surv., 2024)

A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Shenda Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graphusion: Latent Diffusion for Graph Generation. - Ling Yang 006; Zhilin Huang; Zhilong Zhang; Zhongyi Liu; Shenda Hong; Wentao Zhang 001; Wenming Yang; Bin Cui 001; Luxia Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. - Wenrui Zhang; Ling Yang 006; Shijia Geng; Shenda Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning. - Chenyang Xu; Xin Li; Xinyue Zhang 004; Ruilin Wu; Yuxi Zhou; Qinghao Zhao; Yong Zhang; Shijia Geng; Yue Gu; Shenda Hong (Health Inf. Sci. Syst., 2024)

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning. - Zhengkai Xue; Shijia Geng; Shaohua Guo; Guanyu Mu; Bo Yu; Peng Wang; Sutao Hu; Deyun Zhang; Weilun Xu; Yanhong Liu; Lei Yang; Huayue Tao; et al. (BMC Medical Informatics Decis. Mak., 2024)

Coordinating Music Signals and Electrocardiogram Signals in a Shared Valence-Arousal Emotional Space. - Jiaze Wang; Shijia Geng; Zizheng Chen; Yuhu Han; Deyun Zhang; Weilun Xu; Lixin Wang; Yanqing Zhao; Shenda Hong; Yuxi Zhou (ICIC (19), 2025)

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. - Jiarui Jin; Haoyu Wang; Hongyan Li 002; Jun Li; Jiahui Pan; Shenda Hong (ICLR, 2025)

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint. - Guangkun Nie; Gongzheng Tang; Shenda Hong (ICLR, 2025)

A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm. - Jun Lei; Yuxi Zhou; Xue Tian; Qinghao Zhao; Qi Zhang; Shijia Geng; Qingbo Wu 005; Shenda Hong (Biomed. Signal Process. Control., 2025)

Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search. - Shichao Fang; Shenda Hong; Qing Li; Pengfei Li; Timothy J. Coats; Beiji Zou 001; Guilan Kong (Int. J. Medical Informatics, 2025)

Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health. - Songchi Zhou; Ge Song; Haoqi Sun; Deyun Zhang; Yue Leng; M. Brandon Westover; Shenda Hong (npj Digit. Medicine, 2025)

DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. - Yongfan Lai; Jiabo Chen; Deyun Zhang; Yue Wang 014; Shijia Geng; Hongyan Li 002; Shenda Hong (CoRR, 2025)

Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation. - Jingying Ma; Jinwei Wang; Lanlan Lu; Yexiang Sun; Mengling Feng; Peng Shen; Zhiqin Jiang; Shenda Hong; Luxia Zhang (CoRR, 2025)

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. - Sumei Fan; Deyun Zhang; Yue Wang 014; Shijia Geng; Kun Lu; Meng Sang; Weilun Xu; Haixue Wang; Qinghao Zhao; Chuandong Cheng; Peng Wang; Shenda Hong (CoRR, 2025)

KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease. - Yongchao Long; Chao Yang; Gongzheng Tang; Jinwei Wang; Zhun Sui; Yuxi Zhou; Shenda Hong; Luxia Zhang (CoRR, 2025)

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. - Xiang Lan 004; Feng Wu 001; Kai He 001; Qinghao Zhao; Shenda Hong; Mengling Feng (CoRR, 2025)

Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing. - Ling Yang 006; Yikai Zhao 001; Zhaochen Yu; Bohan Zeng; Minkai Xu; Shenda Hong; Bin Cui 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations. - Deyun Zhang; Xiang Lan 004; Shijia Geng; Qinghao Zhao; Sumei Fan; Mengling Feng; Shenda Hong (CoRR, 2025)

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting. - Shuhao Mei; Yongchao Long; Shan Cao; Xiaobo Han; Shijia Geng; Jinbo Sun; Yuxi Zhou; Shenda Hong (CoRR, 2025)

ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model. - Yongfan Lai; Bo Liu; Xinyan Guan; Qinghao Zhao; Hongyan Li 002; Shenda Hong (CoRR, 2025)

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images. - Shanwei Zhang; Deyun Zhang; Yirao Tao; Kexin Wang; Shijia Geng; Jun Li; Qinghao Zhao; Xingpeng Liu; Yuxi Zhou; Shenda Hong (CoRR, 2025)

Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study. - Haixue Wang; Jianwei Wang; Wei Jing; Shanshan Dai; Deyun Zhang; Shijia Geng; Haijun Wang; Shenda Hong (BMC Medical Informatics Decis. Mak., 2025)