Ruxin Wang
Orcid: 0000-0003-4772-3284Affiliations:
- Shenzhen Institute of Advanced Technology, China
- Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China
- University of Chinese Academy of Sciences, Department of operational research and cybernetics, Beijing, China (PhD 2017)
According to our database1,
Ruxin Wang authored at least 43 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Cyclic Contrastive Representation Learning for Incomplete Multi-Modal Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, June, 2026
A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables.
CoRR, May, 2026
MORSE: Molecular representation learning via structured semantic extraction across hierarchical and asymmetric biological modalities.
Pattern Recognit., 2026
Pattern Recognit., 2026
Semi-MedSAM: Adapting SAM-assisted semi-supervised multi-modality learning for medical endoscopic image segmentation.
Pattern Recognit., 2026
Neural Networks, 2026
Multimodal medical endoscopic image analysis via progressive disentangle-aware contrastive learning.
Medical Image Anal., 2026
Neurocomputing, 2026
2025
BMC Medical Informatics Decis. Mak., December, 2025
Knowl. Based Syst., 2025
Artif. Intell., 2025
Shuffle-Diversity Collaborative Federated Learning for Imbalanced Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025
2024
ACM Trans. Knowl. Discov. Data, July, 2024
Knowl. Based Syst., 2024
LoCo: Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation.
CoRR, 2024
CoRR, 2024
Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2023
Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization.
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Rethinking Radiology Report Generation via Causal Reasoning and Counterfactual Augmentation.
CoRR, 2023
TCSA: A Text-Guided Cross-View Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
2022
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2022
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering.
IEEE Trans. Cybern., 2022
Medical Image Anal., 2022
Neurocomputing, 2022
Expert Syst. Appl., 2022
2021
A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.
IEEE Trans. Comput. Soc. Syst., 2021
Improving influenza surveillance based on multi-granularity deep spatiotemporal neural network.
Comput. Biol. Medicine, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals.
Neural Comput. Appl., 2020
Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network.
Inf. Fusion, 2020
Discriminatively Constrained Semi-supervised Multi-view Nonnegative Matrix Factorization with Graph Regularization.
CoRR, 2020
CoRR, 2020
A Spatial Attention based Convolutional Neural Network for Gesture recognition with HD-sEMG signals.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
2019
Multi-class Arrhythmia Detection based on Neural Network with Multi-stage Features Fusion.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Time-Incremental Convolutional Neural Network for Arrhythmia Detection in Varied-Length Electrocardiogram.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018