Huihua Yang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Learning What and Where to Learn: A New Perspective on Self-Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images.
IEEE J. Biomed. Health Informatics, March, 2024

DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences.
Medical Image Anal., 2024

Diversity matters: Cross-head mutual mean-teaching for semi-supervised medical image segmentation.
Medical Image Anal., 2024

UDCR: Unsupervised Aortic DSA/CTA Rigid Registration Using Deep Reinforcement Learning and Overlap Degree Calculation.
CoRR, 2024

Image-Guided Autonomous Guidewire Navigation in Robot-Assisted Endovascular Interventions using Reinforcement Learning.
CoRR, 2024

An Automatic Cascaded Model for Hemorrhagic Stroke Segmentation and Hemorrhagic Volume Estimation.
CoRR, 2024

PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TSI-NET: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Embedding Global Contrastive and Local Location in Self-Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Progressive cross-domain knowledge distillation for efficient unsupervised domain adaptive object detection.
Eng. Appl. Artif. Intell., March, 2023

Global-and-Local sampling for efficient hybrid task self-supervised learning.
Knowl. Based Syst., 2023

Teacher-Student Mutual Learning for efficient source-free unsupervised domain adaptation.
Knowl. Based Syst., 2023

Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation.
CoRR, 2023

DIAS: A Comprehensive Benchmark for DSA-sequence Intracranial Artery Segmentation.
CoRR, 2023

Two-Stage Hybrid Supervision Framework for Fast, Low-Resource, and Accurate Organ and Pan-Cancer Segmentation in Abdomen CT.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

TBENet: A two-branch boundary enhancement Network for cerebrovascular segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation.
IEEE J. Biomed. Health Informatics, 2022

AP-GAN: Improving Attribute Preservation in Video Face Swapping.
IEEE Trans. Circuits Syst. Video Technol., 2022

LESSL: Can LEGO sampling and collaborative optimization contribute to self-supervised learning?
Inf. Sci., 2022

Combining Hybrid Architecture and Pseudo-label for Semi-supervised Abdominal Organ Segmentation.
CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation.
CoRR, 2022

Single-branch self-supervised learning with hybrid tasks.
Comput. Electr. Eng., 2022

Fast and accurate wheat grain quality detection based on improved YOLOv5.
Comput. Electron. Agric., 2022

Brain tumor segmentation with corner attention and high-dimensional perceptual loss.
Biomed. Signal Process. Control., 2022

Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Benchmark Research on Computing Performance of Domestic General-purpose Processors.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022

Retinal Vessel Segmentation with VAE Reconstruction and Multi-Scale Context Extractor.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Research on Unsupervised Anomaly Detection of Gas Heating Energy Consumption Based on Ensemble Learning.
Proceedings of the 3rd International Conference on Computer Engineering and Intelligent Control Virtual Event, 2022

Multiscale Attention Aggregation Network for 2D Vessel Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Collaborative Transformer-CNN Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multiscale Anchor-Free Region Proposal Network for Pedestrian Detection.
Wirel. Commun. Mob. Comput., 2021

S<sup>2</sup>-aware network for visual recognition.
Signal Process. Image Commun., 2021

Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks.
Sensors, 2021

Attention Fusion for One-Stage Multispectral Pedestrian Detection.
Sensors, 2021

Region- and Pixel-Level Multi-Focus Image Fusion through Convolutional Neural Networks.
Mob. Networks Appl., 2021

Adaptive attention augmentor for weakly supervised object localization.
Neurocomputing, 2021

On-Site Identification of Counterfeit Drugs Based on Near-Infrared Spectroscopy Siamese-Network Modeling.
IEEE Access, 2021

DECNet: A Dual-stream Edge Complementary Network for Retinal Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images.
Multim. Tools Appl., 2020

Complex background classification network: A deep learning method for urban images classification.
Comput. Electr. Eng., 2020

On Open-Set, High-Fidelity and Identity-Specific Face Transformation.
IEEE Access, 2020

Classification of Imbalanced Near-infrared Spectroscopy Data.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Multi-Level Ensemble Network for Scene Recognition.
Multim. Tools Appl., 2019

An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network.
IEEE Access, 2019

Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification.
IEEE Access, 2019

A New Region Proposal Network for Far-Infrared Pedestrian Detection.
IEEE Access, 2019

An End-to-End Location and Regression Tracker with Attention-based Fused Features.
Proceedings of the International Joint Conference on Neural Networks, 2019

CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks.
World Wide Web, 2018

Fast and robust occluded face detection in ATM surveillance.
Pattern Recognit. Lett., 2018

T-test based Alzheimer's disease diagnosis with multi-feature in MRIs.
Multim. Tools Appl., 2018

Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance.
Multim. Tools Appl., 2018

2017
Simulation study on thermo-fatigue failure behavior of solder joints in package-on-package structure.
Microelectron. Reliab., 2017

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks.
Neurocomputing, 2017

Level set method of cell image segmentation based on combinations of edge, region and prior information.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Alzheimer's disease diagnosis via interested structure selection in MRIs.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem.
Sci. Program., 2016

Cost-sensitive sparse representation based classification.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

2015
基于布谷鸟搜索的多处理器任务调度算法 (Multiprocessor Task Scheduling Method Based on Cuckoo Search Algorithm).
计算机科学, 2015

2014
A Cuckoo Search Algorithm for Scheduling Multiskilled Workforce.
J. Networks, 2014

2013
An Efficient Vehicle Model Recognition Method.
J. Softw., 2013

Arbitrary-length Fast Hartley Transform without Multiplications.
J. Comput., 2013

2008
Application of Artificial Neural Network and SARIMA in Portland Cement Supply Chain to Forecast Demand.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Laplacian Regularized Least Squares Regression and its Dynamic Parameter Optimization for Near Infrared Spectroscopy Modeling.
Proceedings of the Third International Conference on Natural Computation, 2007

2005
MA-DIDS: A Multi-Agent Based Distributed Intrusion Detection System.
Proceedings of the Self-Organization and Autonomic Informatics (I), 2005

Model Selection for Regularized Least-Squares Classification.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Kernel PCA Based Network Intrusion Feature Extraction and Detection Using SVM.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Principal Component Neural Networks Based Intrusion Feature Extraction and Detection Using SVM.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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