Xulei Yang

Orcid: 0000-0002-7002-4564

According to our database1, Xulei Yang authored at least 85 papers between 2004 and 2024.

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Bibliography

2024
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems.
IEEE Netw., January, 2024

Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching.
CoRR, 2024

2023
Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction.
IEEE J. Sel. Areas Commun., November, 2023

Facial feature embedded CycleGAN for VIS-NIR translation.
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

GCM: Efficient video recognition with glance and combine module.
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

An Efficient Deep Video Model For Deepfake Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Efficient Practices for Profile-to-Frontal Face Synthesis and Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A configurable deep learning framework for medical image analysis.
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

Iterative Contrastive Learning for Single Image Raindrop Removal.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Latent Vector Prototypes Guided Conditional Face Synthesis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance.
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
Multiple local 3D CNNs for region-based prediction in smart cities.
Inf. Sci., 2021

Systematic Analysis and Removal of Circular Artifacts for StyleGAN.
CoRR, 2021

Systematic Analysis of Circular Artifacts for Stylegan.
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
Sparsity-Inspired Optimal Topology Control of Complex Networks.
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

ID Preserving Face Super-Resolution Generative Adversarial Networks.
IEEE Access, 2020

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Object Tracking Via ImageNet Classification Scores.
Proceedings of the IEEE International Conference on Image Processing, 2020

Facial Feature Embedded Cyclegan For Vis-Nir Translation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
<i>SeSe-Net</i>: Self-Supervised deep learning for segmentation.
Pattern Recognit. Lett., 2019

A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised.
CoRR, 2019

Facial Feature Embedded CycleGAN for VIS-NIR Translation.
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

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.
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
Multi-target deep neural networks: Theoretical analysis and implementation.
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

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.
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

Cardiac Image Segmentation Using Memory Persistence Methodology.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Skin Lesion Analysis By Multi-Target Deep Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.
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

Cardiac image segmentation by random walks with dynamic shape constraint.
IET Comput. Vis., 2016

Color-texture based extreme learning machines for tissue tumor classification.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Statistical Left Ventricular Deformation Analysis.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

A Multi-Modal Classifier for Heart Sound Recordings.
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
Kernel online learning algorithm with state feedbacks.
Knowl. Based Syst., 2015

Development of a four-nozzle flapper servovalve driven by a giant magnetostrictive actuator.
J. Syst. Control. Eng., 2015

A Spatial Shape Constrained Clustering Method for Mammographic Mass Segmentation.
Comput. Math. Methods Medicine, 2015

2014
Vicinal support vector classifier using supervised kernel-based clustering.
Artif. Intell. Medicine, 2014

Left ventricle segmentation by dynamic shape constrained random walks.
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
Robust Control of High Speed High Precision Linear Motion System.
Proceedings of the Applied Informatics and Communication - International Conference, 2011

2010
An information-theoretic fuzzy C-spherical shells clustering algorithm.
Fuzzy Sets Syst., 2010

2009
A novel pruning approach for robust data clustering.
Neural Comput. Appl., 2009

2008
A Modified Deterministic Annealing Algorithm for Robust Image Segmentation.
J. Math. Imaging Vis., 2008

Robust information clustering incorporating spatial information for breast mass detection in digitized mammograms.
Comput. Vis. Image Underst., 2008

2007
Robust Recurrent Neural Network Control of Biped Robot.
J. Intell. Robotic Syst., 2007

A Weighted Support Vector Machine for Data Classification.
Int. J. Pattern Recognit. Artif. Intell., 2007

A robust deterministic annealing algorithm for data clustering.
Data Knowl. Eng., 2007

2006
A New Cluster Validity for Data Clustering.
Neural Process. Lett., 2006

Robust Data Clustering in Mercer Kernel-Induced Feature Space.
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

Adaptive Spatial Information Clustering for Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Robust Mixture Model Clustering of DNA Binding Sites.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Clustering Spherical Shells by a Mini-Max Information Algorithm.
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

Breast Mass Segmentation based on Information Theory.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Robust c-shells based deterministic annealing clustering algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004


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