Yu Xie

Orcid: 0000-0002-3431-0432

According to our database1, Yu Xie authored at least 64 papers between 2018 and 2026.

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

Timeline

Legend:

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Bibliography

2026
Dynamic multi-modal hypergraph learning for semi-supervised multi-label image recognition.
Pattern Recognit., 2026

2025
Contrastive Learning Network for Unsupervised Graph Matching.
IEEE Trans. Circuits Syst. Video Technol., January, 2025

Multi-Scale Contrast for Global-Interaction Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng., 2025

FedKT: Federated learning with knowledge transfer for non-IID data.
Pattern Recognit., 2025

Federated semi-supervised learning with contrastive representations against noisy labels.
Appl. Soft Comput., 2025

2024
Federated Collaborative Graph Neural Networks for Few-shot Graph Classification.
Mach. Intell. Res., December, 2024

Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning.
IEEE Trans. Knowl. Data Eng., November, 2024

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework.
IEEE Trans. Cybern., September, 2024

2023
Federated Active Semi-Supervised Learning With Communication Efficiency.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Random Deep Graph Matching.
IEEE Trans. Knowl. Data Eng., October, 2023

Semisupervised Graph Neural Networks for Graph Classification.
IEEE Trans. Cybern., October, 2023

FGSS: Federated global self-supervised framework for large-scale unlabeled data.
Appl. Soft Comput., August, 2023

Multiparty Dual Learning.
IEEE Trans. Cybern., May, 2023

Propagation Enhanced Neural Message Passing for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2023

Prototype-Guided Feature Learning for Unsupervised Domain Adaptation.
Pattern Recognit., 2023

Unsupervised domain adaptation via progressive positioning of target-class prototypes.
Knowl. Based Syst., 2023

Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements.
Neurocomputing, 2023

Batch Fabrication of Flexible Paper-Based Pressure Sensors via Thermoplastic Self-Packaging.
Proceedings of the 18th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2023

2022
A survey on federated learning in data mining.
WIREs Data Mining Knowl. Discov., 2022

A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation.
IEEE Trans. Veh. Technol., 2022

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.
IEEE Trans. Neural Networks Learn. Syst., 2022

Heuristic 3D Interactive Walks for Multilayer Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Exploring Temporal Information for Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol., 2022

Active and Semi-Supervised Graph Neural Networks for Graph Classification.
IEEE Trans. Big Data, 2022

Federated Multitask Learning for HyperFace.
IEEE Trans. Artif. Intell., 2022

Hierarchical Graph Representation Learning with Structural Attention for Graph Classification.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.
IEEE Trans. Multim., 2021

Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace.
IEEE Trans. Evol. Comput., 2021

A survey on heterogeneous network representation learning.
Pattern Recognit., 2021

Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation.
Pattern Recognit., 2021

A survey on federated learning.
Knowl. Based Syst., 2021

Label propagation with multi-stage inference for visual domain adaptation.
Knowl. Based Syst., 2021

Graph embedding via multi-scale graph representations.
Inf. Sci., 2021

Learning smooth representations with generalized softmax for unsupervised domain adaptation.
Inf. Sci., 2021

Dynamic network embedding via structural attention.
Expert Syst. Appl., 2021

Multi-Party Dual Learning.
CoRR, 2021

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework.
CoRR, 2021

Influence-aware graph neural networks.
Appl. Soft Comput., 2021

Federated matrix factorization for privacy-preserving recommender systems.
Appl. Soft Comput., 2021

2020
Community Preserving Network Embedding Based on Memetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Rich heterogeneous information preserving network representation learning.
Pattern Recognit., 2020

Visual domain adaptation based on modified A-distance and sparse filtering.
Pattern Recognit., 2020

Semi-supervised network embedding with text information.
Pattern Recognit., 2020

Structured self-attention architecture for graph-level representation learning.
Pattern Recognit., 2020

MGAT: Multi-view Graph Attention Networks.
Neural Networks, 2020

Local distinguishability aggrandizing network for human anomaly detection.
Neural Networks, 2020

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
Neural Networks, 2020

Privacy-enhanced multi-party deep learning.
Neural Networks, 2020

Proximity-aware heterogeneous information network embedding.
Knowl. Based Syst., 2020

Graph convolutional networks with multi-level coarsening for graph classification.
Knowl. Based Syst., 2020

Secure collaborative few-shot learning.
Knowl. Based Syst., 2020

Community-oriented attributed network embedding.
Knowl. Based Syst., 2020

Deep heterogeneous network embedding based on Siamese Neural Networks.
Neurocomputing, 2020

A Survey on Dynamic Network Embedding.
CoRR, 2020

A Survey on Differentially Private Machine Learning [Review Article].
IEEE Comput. Intell. Mag., 2020

Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Differential privacy preservation in regression analysis based on relevance.
Knowl. Based Syst., 2019

Sim2vec: Node similarity preserving network embedding.
Inf. Sci., 2019

TPNE: Topology preserving network embedding.
Inf. Sci., 2019

A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition.
Frontiers Neurorobotics, 2019

Enhancing Attributed Network Embedding via Similarity Measure.
IEEE Access, 2019

2018
Community discovery in networks with deep sparse filtering.
Pattern Recognit., 2018


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