Yufei Gao

Orcid: 0000-0002-2356-0700

Affiliations:
  • Zhengzhou University, School of Cyber Space and Security, Zhengzhou, China


According to our database1, Yufei Gao authored at least 42 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Universal Closed-Box Adversarial Attack for Trajectory Representation via Controlling High-Dimensional Iterative Constraints.
IEEE Internet Things J., August, 2025

PointFormer: Keypoint-Guided Transformer for Simultaneous Nuclei Segmentation and Classification in Multi-Tissue Histology Images.
IEEE Trans. Image Process., 2025

SimCMC: A Simple Compact Multiview Contrastive Framework for Self-Supervised Early Alzheimer's Disease Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Bridging modal gaps: A Cross-Modal Feature Complementation and Feature Projection Network for visible-infrared person re-identification.
Neurocomputing, 2025

EATNet: An extensive attention-based approach for cervical precancerous lesions diagnosis in histopathological images.
Biomed. Signal Process. Control., 2025

Dual consistency semi-supervised learning for 3D medical image segmentation.
Biomed. Signal Process. Control., 2025

scCAT: Single-cell Combined graph Attentional clustering for scRNA-seq analysis.
Biomed. Signal Process. Control., 2025

AI-driven social media text analysis during crisis: A review for natural disasters and pandemics.
Appl. Soft Comput., 2025

Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy.
Appl. Soft Comput., 2025

Collaborative transformer U-shaped network for medical image segmentation.
Appl. Soft Comput., 2025

Topology-Aware Discriminative Graph Convolutional Network for Skeleton-Based Action Recognition.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

TGAI: A Hard Label-Based Black-Box Attack for Trajectory Clustering.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Rball Attack: Adversarial Attacks on Trajectory Deep Representation Learning Models.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
GTL-ASENet: global to local adaptive spatial encoder network for crowd counting.
Multim. Tools Appl., July, 2024

Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images.
IEEE J. Biomed. Health Informatics, March, 2024

Blinding and blurring the multi-object tracker with adversarial perturbations.
Neural Networks, 2024

Self-support matching networks with multiscale attention for few-shot semantic segmentation.
Neurocomputing, 2024

FLSTAGCN: Traffic Flow Prediction Based on Federated Learning and Attention Graph Convolutional Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Deep Clustering for scRNA-seq Analysis via Graph Attention Networks and Variational Autoencoders.
Proceedings of the International Joint Conference on Neural Networks, 2024

Dual Consistency Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Coformer: Collaborative Transformer for Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Workflow task offloading mechanism based on A3C under computing network integration.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Resource matching algorithm based on multidimensional computing resource measurement in computing power network.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

MLPSeg: Incorporating Multi-Local Perception with Context Cross Attention Based Transformer for Nuclei Segmentation.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

MedMatch: Design of Semi-supervised learning Model with Curriculum Pseudo-Labels for Medical Image Classification.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis.
Proceedings of the Advances in Computer Graphics, 2024

GLPI: A Global Layered Prompt Integration approach for Explicit Visual Prompt.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
Quantum machine learning in medical image analysis: A survey.
Neurocomputing, March, 2023

A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal.
Sensors, January, 2023

MPHM: Model poisoning attacks on federal learning using historical information momentum.
Secur. Saf., 2023

AMSF: attention-based multi-view slice fusion for early diagnosis of Alzheimer's disease.
PeerJ Comput. Sci., 2023

DSC-OpenPose: A Fall Detection Algorithm Based on Posture Estimation Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Intrusion Detection Model With Attention and BiLSTM-DNN.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for Image Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Scale-aware attention network for weakly supervised semantic segmentation.
Neurocomputing, 2022

Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response.
Expert Syst. Appl., 2022

Matrix Completion Recommendation Algorithm Based on Attention Mechanism.
Proceedings of the 2022 International Conference on Computer and Information Processing Technology Virtual Event, 2022

2021
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions.
PeerJ Comput. Sci., 2021

Fake Review Identification Method Based on Topic Model and Att-BiLSTM.
Proceedings of the CCRIS 2021: 2nd International Conference on Control, 2021

2020
Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation.
IEEE J. Biomed. Health Informatics, 2020

2019
Decoding Behavior Tasks From Brain Activity Using Deep Transfer Learning.
IEEE Access, 2019

2018
Brain decoding using deep convolutional network and its application in cross-subject analysis.
Proceedings of the Medical Imaging 2018: Image Processing, 2018


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