Xulei Yang
Orcid: 0000-0002-7002-4564
According to our database1,
Xulei Yang
authored at least 85 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems.
IEEE Netw., January, 2024
CoRR, 2024
2023
Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction.
IEEE J. Sel. Areas Commun., November, 2023
Multidimens. Syst. Signal Process., June, 2023
DGSLN: Differentiable graph structure learning neural network for robust graph representations.
Inf. Sci., May, 2023
Non-cooperative game algorithms for computation offloading in mobile edge computing environments.
J. Parallel Distributed Comput., February, 2023
Pattern Recognit., 2023
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting.
CoRR, 2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Neural Comput. Appl., 2022
Algorithms and architecture support of degree-based quantization for graph neural networks.
J. Syst. Archit., 2022
MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
IEEE Trans. Netw. Sci. Eng., 2020
Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks.
Neurocomputing, 2020
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments.
CoRR, 2020
Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks.
CoRR, 2020
A Computational Framework for Iceberg and Ship Discrimination: Case Study on Kaggle Competition.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Pattern Recognit. Lett., 2019
CoRR, 2019
Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Neurocomputing, 2018
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks.
CoRR, 2018
Multi-dimensional proprio-proximus machine learning for assessment of myocardial infarction.
Comput. Medical Imaging Graph., 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Automatic segmentation of left ventricle cavity from short-axis cardiac magnetic resonance images.
Medical Biol. Eng. Comput., 2017
Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images.
IET Comput. Vis., 2017
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification.
CoRR, 2017
2016
Dynamic modeling and experimental investigations of a magnetostrictive nozzle-flapper servovalve pilot stage.
J. Syst. Control. Eng., 2016
IET Comput. Vis., 2016
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Automatic Segmentation of Left Ventricular Myocardium by Deep Convolutional and De-convolutional Neural Networks.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Development of a four-nozzle flapper servovalve driven by a giant magnetostrictive actuator.
J. Syst. Control. Eng., 2015
Comput. Math. Methods Medicine, 2015
2014
Artif. Intell. Medicine, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Left ventricular regional shape dynamics analysis by three-dimensional cardiac magnetic resonance imaging associated with left ventricular function in first-time myocardial infarction patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Right Ventricle Segmentation by Temporal Information Constrained Gradient Vector Flow.
Proceedings of the IEEE International Conference on Systems, 2013
2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011
2010
Fuzzy Sets Syst., 2010
2009
2008
J. Math. Imaging Vis., 2008
Robust information clustering incorporating spatial information for breast mass detection in digitized mammograms.
Comput. Vis. Image Underst., 2008
2007
J. Intell. Robotic Syst., 2007
Int. J. Pattern Recognit. Artif. Intell., 2007
A robust deterministic annealing algorithm for data clustering.
Data Knowl. Eng., 2007
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Image Segmentation by Deterministic Annealing Algorithm with Adaptive Spatial Constraints.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the Computer Vision, 2006
2004
Breast Mass Segmentation on Digital Mammograms by a Combined Deterministic Annealing Method.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004