Yu Xie

69 papers B 1Journal 66Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoSGRL: Automated framework construction for self-supervised graph representation learning.
Neural Networks
Yu Xie, Yu Chang, Ming Li, A. K. Qin, Xialei Zhang
2026 J jnl
Dynamic multi-modal hypergraph learning for semi-supervised multi-label image recognition.
Pattern Recognit.
Chen Zhang, Cheng Xu, Yu Xie, Wenjie Mao, Bin Yu
2026 J jnl
FedHAP: Federated hierarchical adaptive prompt learning for cross-domain generalization.
Appl. Soft Comput.
Chen Zhang, Jinsheng Zhang, Yu Xie, Wenjie Mao, Xinlei Wang, Bo Zhou, Bin Yu
2026 J jnl
Stability-aware robust deep graph matching with outliers.
Appl. Soft Comput.
Yu Xie, Yuan Li, Zhiqiang Wang, Hangyuan Du, Ming Li
2025 J jnl
Contrastive Learning Network for Unsupervised Graph Matching.
IEEE Trans. Circuits Syst. Video Technol.
Yu Xie, Lianhang Luo, Tianpei Cao, Bin Yu, A. K. Qin
2025 J jnl
Dynamic deep multi-label image data augmentation based on self-paced learning.
Comput. Vis. Image Underst.
Bin Yu, Wei Li, Chen Zhang, Wenjie Mao, Yu Xie
2025 J jnl
FedKT: Federated learning with knowledge transfer for non-IID data.
Pattern Recognit.
Wenjie Mao, Bin Yu, Chen Zhang, A. K. Qin, Yu Xie
2025 J jnl
Federated semi-supervised learning with contrastive representations against noisy labels.
Appl. Soft Comput.
Wenjie Mao, Bin Yu, Yihan Lv, Yu Xie, Chen Zhang
2025 J jnl
Multi-Scale Contrast for Global-Interaction Graph Representation Learning.
IEEE Trans. Netw. Sci. Eng.
Bin Yu, Xuyang Zhang, Yu Xie, Chen Zhang, Xinlei Wang, Wenjie Mao
2024 J jnl
Federated Collaborative Graph Neural Networks for Few-shot Graph Classification.
Mach. Intell. Res.
Yu Xie, Yanfeng Liang, Chao Wen, A. K. Qin, Maoguo Gong
2024 J jnl
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning.
IEEE Trans. Knowl. Data Eng.
Chen Zhang, Yu Xie, Tingbin Chen, Wenjie Mao, Bin Yu
2024 J jnl
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework.
IEEE Trans. Cybern.
Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, A. K. Qin
2023 — conf
Batch Fabrication of Flexible Paper-Based Pressure Sensors via Thermoplastic Self-Packaging.
NEMS
Chen Zhang, Rui Chen, Wenliya Luo, Yu Xie, Wei Zhou, Tao Luo
2023 J jnl
FGSS: Federated global self-supervised framework for large-scale unlabeled data.
Appl. Soft Comput.
Chen Zhang, Zixuan Xie, Bin Yu, Chao Wen, Yu Xie
2023 J jnl
Federated Active Semi-Supervised Learning With Communication Efficiency.
IEEE Trans. Syst. Man Cybern. Syst.
Chen Zhang, Yu Xie, Hang Bai, Xiongwei Hu, Bin Yu, Yuan Gao
2023 J jnl
Multiparty Dual Learning.
IEEE Trans. Cybern.
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2023 J jnl
Propagation Enhanced Neural Message Passing for Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xiaolong Fan, Maoguo Gong, Yue Wu, A. K. Qin, Yu Xie
2023 J jnl
Prototype-Guided Feature Learning for Unsupervised Domain Adaptation.
Pattern Recognit.
Yongjie Du, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi
2023 J jnl
Random Deep Graph Matching.
IEEE Trans. Knowl. Data Eng.
Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang
2023 J jnl
Semisupervised Graph Neural Networks for Graph Classification.
IEEE Trans. Cybern.
Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He
2023 J jnl
Unsupervised domain adaptation via progressive positioning of target-class prototypes.
Knowl. Based Syst.
Yongjie Du, Ying Zhou, Yu Xie, Deyun Zhou, Jiao Shi, Yu Lei
2023 J jnl
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements.
Neurocomputing
Jingwei Kou, Tao Zhan, Deyun Zhou, Yu Xie, Zhengshang Da, Maoguo Gong
2022 J jnl
A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation.
IEEE Trans. Veh. Technol.
Chao Wen, Yu Xie, Zhiwei Qiao, Liyun Xu, Yuhua Qian
2022 J jnl
A survey on federated learning in data mining.
WIREs Data Mining Knowl. Discov.
Bin Yu, Wenjie Mao, Yihan Lv, Chen Zhang, Yu Xie
2022 J jnl
Active and Semi-Supervised Graph Neural Networks for Graph Classification.
IEEE Trans. Big Data
Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang
2022 J jnl
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.
IEEE Trans. Neural Networks Learn. Syst.
Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang
2022 J jnl
Exploring Temporal Information for Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng.
Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, A. K. Qin
2022 J jnl
Federated Multitask Learning for HyperFace.
IEEE Trans. Artif. Intell.
Chen Zhang, Hang Bai, Yonggang Zhang, Xinyi Niu, Bin Yu, Yuan Gao, Yu Xie
2022 J jnl
Heuristic 3D Interactive Walks for Multilayer Network Embedding.
IEEE Trans. Knowl. Data Eng.
Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu
2022 — conf
Hierarchical Graph Representation Learning with Structural Attention for Graph Classification.
CICAI (2)
Bin Yu, Xinhang Xu, Chao Wen, Yu Xie, Chen Zhang
2022 J jnl
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol.
Sijia Zhang, Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong
2022 J jnl
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, A. K. Qin
2021 J jnl
A survey on federated learning.
Knowl. Based Syst.
Chen Zhang, Yu Xie, Hang Bai, Bin Yu, Weihong Li, Yuan Gao
2021 J jnl
A survey on heterogeneous network representation learning.
Pattern Recognit.
Yu Xie, Bin Yu, Shengze Lv, Chen Zhang, Guodong Wang, Maoguo Gong
2021 J jnl
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.
IEEE Trans. Multim.
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin
2021 J jnl
An attention-based unsupervised adversarial model for movie review spam detection.
CoRR
Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin
2021 J jnl
Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation.
Pattern Recognit.
Chao Han, Deyun Zhou, Yu Xie, Maoguo Gong, Yu Lei, Jiao Shi
2021 J jnl
Dynamic network embedding via structural attention.
Expert Syst. Appl.
Chen Zhang, Yiming Fan, Yu Xie, Bin Yu, Chunyi Li, Ke Pan
2021 J jnl
Federated matrix factorization for privacy-preserving recommender systems.
Appl. Soft Comput.
Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong
2021 J jnl
Graph embedding via multi-scale graph representations.
Inf. Sci.
Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. K. Qin
2021 J jnl
Influence-aware graph neural networks.
Appl. Soft Comput.
Bin Yu, Yu Zhang, Yu Xie, Chen Zhang, Ke Pan
2021 J jnl
Label propagation with multi-stage inference for visual domain adaptation.
Knowl. Based Syst.
Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi
2021 J jnl
Learning smooth representations with generalized softmax for unsupervised domain adaptation.
Inf. Sci.
Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong
2021 J jnl
Multi-Party Dual Learning.
CoRR
Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong
2021 J jnl
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace.
IEEE Trans. Evol. Comput.
Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie
2021 J jnl
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework.
CoRR
Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin
2020 J jnl
A Survey on Differentially Private Machine Learning [Review Article].
IEEE Comput. Intell. Mag.
Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, A. K. Qin
2020 J jnl
A Survey on Dynamic Network Embedding.
CoRR
Yu Xie, Chunyi Li, Bin Yu, Chen Zhang, Zhouhua Tang
2020 J jnl
Community Preserving Network Embedding Based on Memetic Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang
2020 J jnl
Community-oriented attributed network embedding.
Knowl. Based Syst.
Yuan Gao, Maoguo Gong, Yu Xie, Hua Zhong
2020 J jnl
Deep heterogeneous network embedding based on Siamese Neural Networks.
Neurocomputing
Chen Zhang, Zhouhua Tang, Bin Yu, Yu Xie, Ke Pan
2020 B conf
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation.
IJCNN
Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong
2020 J jnl
Graph convolutional networks with multi-level coarsening for graph classification.
Knowl. Based Syst.
Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. K. Qin
2020 J jnl
Local distinguishability aggrandizing network for human anomaly detection.
Neural Networks
Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang
2020 J jnl
MGAT: Multi-view Graph Attention Networks.
Neural Networks
Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han
2020 J jnl
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.
Neural Networks
Maoguo Gong, Ke Pan, Yu Xie, A. K. Qin, Zedong Tang
2020 J jnl
Privacy-enhanced multi-party deep learning.
Neural Networks
Maoguo Gong, Jialun Feng, Yu Xie
2020 J jnl
Proximity-aware heterogeneous information network embedding.
Knowl. Based Syst.
Chen Zhang, Guodong Wang, Bin Yu, Yu Xie, Ke Pan
2020 J jnl
Rich heterogeneous information preserving network representation learning.
Pattern Recognit.
Bin Yu, Jinzhi Hu, Yu Xie, Chen Zhang, Zhouhua Tang
2020 J jnl
Secure collaborative few-shot learning.
Knowl. Based Syst.
Yu Xie, Han Wang, Bin Yu, Chen Zhang
2020 J jnl
Semi-supervised network embedding with text information.
Pattern Recognit.
Maoguo Gong, Chuanyu Yao, Yu Xie, Mingliang Xu
2020 J jnl
Structured self-attention architecture for graph-level representation learning.
Pattern Recognit.
Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li
2020 J jnl
Visual domain adaptation based on modified A-distance and sparse filtering.
Pattern Recognit.
Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong
2019 J jnl
A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition.
Frontiers Neurorobotics
Chen Zhang, Xiongwei Hu, Yu Xie, Maoguo Gong, Bin Yu
2019 J jnl
Differential privacy preservation in regression analysis based on relevance.
Knowl. Based Syst.
Maoguo Gong, Ke Pan, Yu Xie
2019 J jnl
Enhancing Attributed Network Embedding via Similarity Measure.
IEEE Access
Bin Yu, Yitong Li, Chen Zhang, Ke Pan, Yu Xie
2019 J jnl
Sim2vec: Node similarity preserving network embedding.
Inf. Sci.
Yu Xie, Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Bin Yu
2019 J jnl
TPNE: Topology preserving network embedding.
Inf. Sci.
Yu Xie, Maoguo Gong, A. K. Qin, Zedong Tang, Xiaolong Fan
2018 J jnl
Community discovery in networks with deep sparse filtering.
Pattern Recognit.
Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu