Time-Incremental Convolutional Neural Network for Arrhythmia Detection in Varied-Length Electrocardiogram. - Qihang Yao; Xiaomao Fan; Yunpeng Cai; Ruxin Wang 001; Liyan Yin; Ye Li 002 (DASC/PiCom/DataCom/CyberSciTech, 2018)

Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network. - Zeng-Ding Liu; Fen Miao; Ruxin Wang 001; Jikui Liu; Bo Wen; Ye Li 002 (EMBC, 2019)

Multi-class Arrhythmia Detection based on Neural Network with Multi-stage Features Fusion. - Ruxin Wang 001; Qihang Yao; Xiaomao Fan; Ye Li 002 (SMC, 2019)

A Spatial Attention based Convolutional Neural Network for Gesture recognition with HD-sEMG signals. - Sirong Hao; Ruxin Wang 001; Yishan Wang; Ye Li 002 (HealthCom, 2020)

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs. - Chaojie Ji; Ruxin Wang 001; Rongxiang Zhu; Yunpeng Cai; Hongyan Wu (CoRR, 2020)

Cascaded Context Enhancement for Automated Skin Lesion Segmentation. - Ruxin Wang 001; Shuyuan Chen; Jianping Fan 002; Ye Li 002 (CoRR, 2020)

Discriminatively Constrained Semi-supervised Multi-view Nonnegative Matrix Factorization with Graph Regularization. - Guosheng Cui; Ruxin Wang 001; Dan Wu 002; Ye Li 002 (CoRR, 2020)

Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network. - Qihang Yao; Ruxin Wang 001; Xiaomao Fan; Jikui Liu; Ye Li 002 (Inf. Fusion, 2020)

A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals. - Xiaomao Fan; Zhejing Hu; Ruxin Wang 001; Liyan Yin; Ye Li 002; Yunpeng Cai (Neural Comput. Appl., 2020)

Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection. - Ruxin Wang 001; Jianping Fan 002; Ye Li 002 (IEEE J. Biomed. Health Informatics, 2020)

Improving influenza surveillance based on multi-granularity deep spatiotemporal neural network. - Ruxin Wang 001; Hongyan Wu; Yongsheng Wu; Jing Zheng; Ye Li 002 (Comput. Biol. Medicine, 2021)

A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data. - Ruxin Wang 001; Chaojie Ji; Zhiming Jiang; Yongsheng Wu; Ling Yin 001; Ye Li 002 (IEEE Trans. Comput. Soc. Syst., 2021)

Cascaded context enhancement network for automatic skin lesion segmentation. - Ruxin Wang 001; Shuyuan Chen; Chaojie Ji; Ye Li 002 (Expert Syst. Appl., 2022)

Perturb more, trap more: Understanding behaviors of graph neural networks. - Chaojie Ji; Ruxin Wang 001; Hongyan Wu (Neurocomputing, 2022)

Boundary-aware context neural network for medical image segmentation. - Ruxin Wang 001; Shuyuan Chen; Chaojie Ji; Jianping Fan 002; Ye Li 002 (Medical Image Anal., 2022)

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering. - Chaojie Ji; Hongwei Chen; Ruxin Wang 001; Yunpeng Cai; Hongyan Wu (IEEE Trans. Cybern., 2022)

Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. - Ruxin Wang 001; Chaojie Ji; Yuxiao Zhang; Ye Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

TCSA: A Text-Guided Cross-View Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning. - Hongyang Lei; Huazhen Huang; Bokai Yang; Guosheng Cui; Ruxin Wang 001; Dan Wu 002; Ye Li 002 (ISBRA, 2023)

Rethinking Radiology Report Generation via Causal Reasoning and Counterfactual Augmentation. - Xiao Song 003; Jiafan Liu; Yun Li; Wenbin Lei; Ruxin Wang 001 (CoRR, 2023)

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization. - Chaojie Ji; Yijia Zheng; Ruxin Wang 001; Yunpeng Cai; Hongyan Wu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization. - Guosheng Cui; Ruxin Wang 001; Dan Wu 002; Ye Li 002 (IEEE Trans. Knowl. Data Eng., 2023)

Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation. - Xiao Song 003; Jiafan Liu; Yan Liu; Yun Li; Wenbin Lei; Ruxin Wang 001 (BCB, 2024)

Causality-inspired Latent Feature Augmentation for Single Domain Generalization. - Jian Xu; Chaojie Ji; Yankai Cao; Ye Li 002; Ruxin Wang 001 (CoRR, 2024)

LoCo: Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation. - Lingcong Cai; Yun Li; Xiaomao Fan; Kaixuan Song; Yongcheng Li; Yixuan Yuan; Ruxin Wang 001; Wenbin Lei (CoRR, 2024)

CDRM: Causal disentangled representation learning for missing data. - Mingjie Chen; Hongcheng Wang; Ruxin Wang 001; Yuzhong Peng; Hao Zhang 079 (Knowl. Based Syst., 2024)

Semi-supervised Multi-view Clustering based on NMF with Fusion Regularization. - Guosheng Cui; Ruxin Wang 001; Dan Wu 002; Ye Li 002 (ACM Trans. Knowl. Discov. Data, 2024)

Regression-based conditional independence test with adaptive kernels. - Yixin Ren; Juncai Zhang; Yewei Xia; Ruxin Wang 001; Feng Xie 002; Jihong Guan; Hao Zhang 079; Shuigeng Zhou (Artif. Intell., 2025)

Towards interpretable sleep stage classification with a multi-stream fusion network. - Jingrui Chen; Xiaomao Fan; Ruiquan Ge; Jing Xiao 005; Ruxin Wang 001; Wenjun Ma; Ye Li 002 (BMC Medical Informatics Decis. Mak., 2025)