Yu Xie

发表

A Multi-Task Representation Learning Architecture for Enhanced Graph Classification

A. K. Qin, Maoguo Gong, Yu Xie, 2020, Frontiers in Neuroscience.

A Survey on Differentially Private Machine Learning

Maoguo Gong, Yu Xie, Ke Pan, 2019 .

A survey on federated learning

Yuan Gao, Yu Xie, Bin Yu, 2021, Knowl. Based Syst..

Label propagation with multi-stage inference for visual domain adaptation

Deyun Zhou, Yu Xie, Jiao Shi, 2021, Knowl. Based Syst..

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework

A. K. Qin, Maoguo Gong, Yu Xie, 2021, ArXiv.

Influence-aware graph neural networks

Yu Xie, Bin Yu, Yu Zhang, 2021, Appl. Soft Comput..

Semi-supervised network embedding with text information

Maoguo Gong, Mingliang Xu, Yu Xie, 2020, Pattern Recognit..

Federated matrix factorization for privacy-preserving recommender systems

Maoguo Gong, Deyun Zhou, Yu Xie, 2021, Appl. Soft Comput..

Multiparty Dual Learning pdf

Maoguo Gong, Yu Xie, A. K. Qin, 2021, IEEE Transactions on Cybernetics.

Community Preserving Network Embedding Based on Memetic Algorithm

Cheng Chen, Yu Xie, Maoguo Gong, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multi-Task Network Representation Learning

Maoguo Gong, Bin Yu, Chen Zhang, 2020, Frontiers in Neuroscience.

Structured self-attention architecture for graph-level representation learning

Maoguo Gong, Hao Li, Yu Xie, 2020, Pattern Recognit..

Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation

Maoguo Gong, Deyun Zhou, Yu Xie, 2021, Pattern Recognit..

Enhancing Attributed Network Embedding via Similarity Measure

Chen Zhang, Yu Xie, Ke Pan, 2019, IEEE Access.

MGAT: Multi-view Graph Attention Networks

Maoguo Gong, Yu Xie, Yuanqiao Zhang, 2020, Neural Networks.

Community-oriented attributed network embedding

Maoguo Gong, Hua Zhong, Yuan Gao, 2020, Knowl. Based Syst..

Community discovery in networks with deep sparse filtering

Yu Xie, Maoguo Gong, Bin Yu, 2018, Pattern Recognit..

Graph embedding via multi-scale graph representations

Maoguo Gong, Deyu Li, A. K. Qin, 2021, Inf. Sci..

Graph convolutional networks with multi-level coarsening for graph classification

Maoguo Gong, Cheng Chen, Yu Xie, 2020, Knowl. Based Syst..

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos

A. K. Qin, Y. Ong, Hao Li, 2022, IEEE transactions on circuits and systems for video technology (Print).

A survey on heterogeneous network representation learning

Maoguo Gong, Yu Xie, Bin Yu, 2021, Pattern Recognit..

Secure collaborative few-shot learning

Chen Zhang, Han Wang, Yu Xie, 2020, Knowl. Based Syst..

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

Maoguo Gong, Bin Yu, Chen Zhang, 2020, Frontiers in Neurorobotics.

A survey on federated learning in data mining

Chen Zhang, Bin Yu, Yu Xie, 2021, WIREs Data Mining Knowl. Discov..

Differential privacy preservation in regression analysis based on relevance

Yu Xie, Maoguo Gong, Ke Pan, 2019, Knowl. Based Syst..

Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace

Maoguo Gong, Wenfeng Liu, Yue Wu, 2020, IEEE Transactions on Evolutionary Computation.

Privacy-enhanced multi-party deep learning

Maoguo Gong, Yu Xie, Jialun Feng, 2020, Neural Networks.

Visual domain adaptation based on modified A-distance and sparse filtering

Chao Han, Maoguo Gong, Deyun Zhou, 2020, Pattern Recognit..

Multiparty Dual Learning

Y. Ong, Yu Xie, Yuan Gao, 2022, IEEE Transactions on Cybernetics.

A Survey on Differentially Private Machine Learning [Review Article]

Maoguo Gong, Yu Xie, Ke Pan, 2020, IEEE Computational Intelligence Magazine.

Local distinguishability aggrandizing network for human anomaly detection

Maoguo Gong, Hao Li, Yu Xie, 2019, Neural Networks.

Sim2vec: Node similarity preserving network embedding

Maoguo Gong, Bin Yu, Wenfeng Liu, 2019, Inf. Sci..

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning

Maoguo Gong, Yu Xie, Zedong Tang, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Propagation Enhanced Neural Message Passing for Graph Representation Learning

Yue Wu, Maoguo Gong, Yu Xie, 2021, IEEE Transactions on Knowledge and Data Engineering.

TPNE: Topology preserving network embedding

Maoguo Gong, A. Kai Qin, Zedong Tang, 2019, Inf. Sci..

An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection

Maoguo Gong, Yuan Gao, Yu Xie, 2020, IEEE Transactions on Multimedia.

Learning smooth representations with generalized softmax for unsupervised domain adaptation

Chao Han, Maoguo Gong, Yu Lei, 2021, Inf. Sci..

A Survey on Dynamic Network Embedding pdf

Bin Yu, Chen Zhang, Yu Xie, 2020, ArXiv.

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition

Maoguo Gong, Yu Xie, Zedong Tang, 2020, Neural Networks.

Exploring Temporal Information for Dynamic Network Embedding

Maoguo Gong, Yu Xie, Yuan Gao, 2020, IEEE Transactions on Knowledge and Data Engineering.

Dynamic network embedding via structural attention

Yu Xie, Bin Yu, Ke Pan, 2021, Expert Syst. Appl..

Rich heterogeneous information preserving network representation learning

Bin Yu, Chen Zhang, Yu Xie, 2020, Pattern Recognit..

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

Maoguo Gong, Deyun Zhou, Yu Xie, 2022, Neurocomputing.

Heuristic 3D Interactive Walks for Multilayer Network Embedding

Maoguo Gong, Mingliang Xu, Wenfeng Liu, 2020, IEEE Transactions on Knowledge and Data Engineering.

Discriminative Sparse Filtering for Multi-Source Image Classification

Chao Han, Kai Zhang, Zhen Yang, 2020, Sensors.