Community discovery in networks with deep sparse filtering. - Yu Xie 009; Maoguo Gong; Shanfeng Wang; Bin Yu 011 (Pattern Recognit., 2018)

Enhancing Attributed Network Embedding via Similarity Measure. - Bin Yu 011; Yitong Li; Chen Zhang 015; Ke Pan 001; Yu Xie 009 (IEEE Access, 2019)

A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. - Chen Zhang 015; Xiongwei Hu; Yu Xie 009; Maoguo Gong; Bin Yu 011 (Frontiers Neurorobotics, 2019)

TPNE: Topology preserving network embedding. - Yu Xie 009; Maoguo Gong; A. Kai Qin; Zedong Tang; Xiaolong Fan (Inf. Sci., 2019)

Sim2vec: Node similarity preserving network embedding. - Yu Xie 009; Maoguo Gong; Shanfeng Wang; Wenfeng Liu; Bin Yu 011 (Inf. Sci., 2019)

Differential privacy preservation in regression analysis based on relevance. - Maoguo Gong; Ke Pan 001; Yu Xie 009 (Knowl. Based Syst., 2019)

Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. - Chao Han; Deyun Zhou; Yu Xie 009; Yu Lei 002; Jiao Shi; Maoguo Gong (IJCNN, 2020)

A Survey on Differentially Private Machine Learning [Review Article]. - Maoguo Gong; Yu Xie 009; Ke Pan 001; Kaiyuan Feng; Alex Kai Qin (IEEE Comput. Intell. Mag., 2020)

A Survey on Dynamic Network Embedding. - Yu Xie 009; Chunyi Li; Bin Yu 011; Chen Zhang 015; Zhouhua Tang (CoRR, 2020)

Deep heterogeneous network embedding based on Siamese Neural Networks. - Chen Zhang 015; Zhouhua Tang; Bin Yu 011; Yu Xie 009; Ke Pan 001 (Neurocomputing, 2020)

Community-oriented attributed network embedding. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; Hua Zhong (Knowl. Based Syst., 2020)

Secure collaborative few-shot learning. - Yu Xie 009; Han Wang; Bin Yu 011; Chen Zhang 015 (Knowl. Based Syst., 2020)

Graph convolutional networks with multi-level coarsening for graph classification. - Yu Xie 009; Chuanyu Yao; Maoguo Gong; Cheng Chen; A. Kai Qin (Knowl. Based Syst., 2020)

Proximity-aware heterogeneous information network embedding. - Chen Zhang 015; Guodong Wang; Bin Yu 011; Yu Xie 009; Ke Pan 001 (Knowl. Based Syst., 2020)

Privacy-enhanced multi-party deep learning. - Maoguo Gong; Jialun Feng; Yu Xie 009 (Neural Networks, 2020)

Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. - Maoguo Gong; Ke Pan 001; Yu Xie 009; A. Kai Qin; Zedong Tang (Neural Networks, 2020)

Local distinguishability aggrandizing network for human anomaly detection. - Maoguo Gong; Huimin Zeng; Yu Xie 009; Hao Li 009; Zedong Tang (Neural Networks, 2020)

MGAT: Multi-view Graph Attention Networks. - Yu Xie 009; Yuanqiao Zhang; Maoguo Gong; Zedong Tang; Chao Han (Neural Networks, 2020)

Structured self-attention architecture for graph-level representation learning. - Xiaolong Fan; Maoguo Gong; Yu Xie 009; Fenlong Jiang; Hao Li 009 (Pattern Recognit., 2020)

Semi-supervised network embedding with text information. - Maoguo Gong; Chuanyu Yao; Yu Xie 009; Mingliang Xu 001 (Pattern Recognit., 2020)

Visual domain adaptation based on modified A-distance and sparse filtering. - Chao Han; Yu Lei 002; Yu Xie 009; Deyun Zhou; Maoguo Gong (Pattern Recognit., 2020)

Rich heterogeneous information preserving network representation learning. - Bin Yu 011; Jinzhi Hu; Yu Xie 009; Chen Zhang 015; Zhouhua Tang (Pattern Recognit., 2020)

Community Preserving Network Embedding Based on Memetic Algorithm. - Maoguo Gong; Cheng Chen; Yu Xie 009; Shanfeng Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Federated matrix factorization for privacy-preserving recommender systems. - Yongjie Du; Deyun Zhou; Yu Xie 009; Jiao Shi; Maoguo Gong (Appl. Soft Comput., 2021)

Influence-aware graph neural networks. - Bin Yu 011; Yu Zhang; Yu Xie 009; Chen Zhang 015; Ke Pan 001 (Appl. Soft Comput., 2021)

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Jiawei Li 001; Maoguo Gong; Yu Xie 009; A. Kai Qin (CoRR, 2021)

Multi-Party Dual Learning. - Maoguo Gong; Yuan Gao 019; Yu Xie 009; A. Kai Qin; Ke Pan 001; Yew-Soon Ong (CoRR, 2021)

Dynamic network embedding via structural attention. - Chen Zhang 015; Yiming Fan; Yu Xie 009; Bin Yu 011; Chunyi Li; Ke Pan 001 (Expert Syst. Appl., 2021)

Learning smooth representations with generalized softmax for unsupervised domain adaptation. - Chao Han; Yu Lei 002; Yu Xie 009; Deyun Zhou; Maoguo Gong (Inf. Sci., 2021)

Graph embedding via multi-scale graph representations. - Yu Xie 009; Cheng Chen; Maoguo Gong; Deyu Li; A. Kai Qin (Inf. Sci., 2021)

Label propagation with multi-stage inference for visual domain adaptation. - Chao Han; Deyun Zhou; Yu Xie 009; Yu Lei 002; Jiao Shi (Knowl. Based Syst., 2021)

A survey on federated learning. - Chen Zhang 015; Yu Xie 009; Hang Bai; Bin Yu 011; Weihong Li; Yuan Gao 019 (Knowl. Based Syst., 2021)

Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation. - Chao Han; Deyun Zhou; Yu Xie 009; Maoguo Gong; Yu Lei 002; Jiao Shi (Pattern Recognit., 2021)

A survey on heterogeneous network representation learning. - Yu Xie 009; Bin Yu 011; Shengze Lv; Chen Zhang 015; Guodong Wang; Maoguo Gong (Pattern Recognit., 2021)

Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. - Zedong Tang; Maoguo Gong; Yue Wu 004; Wenfeng Liu; Yu Xie 009 (IEEE Trans. Evol. Comput., 2021)

An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; Alex Kai Qin (IEEE Trans. Multim., 2021)

Hierarchical Graph Representation Learning with Structural Attention for Graph Classification. - Bin Yu 011; Xinhang Xu; Chao Wen; Yu Xie 009; Chen Zhang 015 (CICAI (2), 2022)

Federated Multitask Learning for HyperFace. - Chen Zhang 015; Hang Bai; Yonggang Zhang; Xinyi Niu; Bin Yu 011; Yuan Gao 019; Yu Xie 009 (IEEE Trans. Artif. Intell., 2022)

Active and Semi-Supervised Graph Neural Networks for Graph Classification. - Yu Xie 009; Shengze Lv; Yuhua Qian; Chao Wen; Jiye Liang (IEEE Trans. Big Data, 2022)

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. - Sijia Zhang; Maoguo Gong; Yu Xie 009; A. Kai Qin; Hao Li 009; Yuan Gao 019; Yew-Soon Ong (IEEE Trans. Circuits Syst. Video Technol., 2022)

Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. - Zedong Tang; Maoguo Gong; Yu Xie 009; Hao Li 009; Alex Kai Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Exploring Temporal Information for Dynamic Network Embedding. - Maoguo Gong; Shunfei Ji; Yu Xie 009; Yuan Gao 019; Alex Kai Qin (IEEE Trans. Knowl. Data Eng., 2022)

Heuristic 3D Interactive Walks for Multilayer Network Embedding. - Maoguo Gong; Wenfeng Liu; Yu Xie 009; Zedong Tang; Mingliang Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. - Maoguo Gong; Jia Liu 020; Hao Li 009; Yu Xie 009; Zedong Tang (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation. - Chao Wen; Yu Xie 009; Zhiwei Qiao; Liyun Xu; Yuhua Qian (IEEE Trans. Veh. Technol., 2022)

A survey on federated learning in data mining. - Bin Yu 011; Wenjie Mao; Yihan Lv; Chen Zhang 015; Yu Xie 009 (WIREs Data Mining Knowl. Discov., 2022)

Batch Fabrication of Flexible Paper-Based Pressure Sensors via Thermoplastic Self-Packaging. - Chen Zhang 015; Rui Chen; Wenliya Luo; Yu Xie 009; Wei Zhou; Tao Luo (NEMS, 2023)

Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements. - Jingwei Kou; Tao Zhan; Deyun Zhou; Yu Xie 009; Zhengshang Da; Maoguo Gong (Neurocomputing, 2023)

Unsupervised domain adaptation via progressive positioning of target-class prototypes. - Yongjie Du; Ying Zhou; Yu Xie 009; Deyun Zhou; Jiao Shi; Yu Lei 002 (Knowl. Based Syst., 2023)

Prototype-Guided Feature Learning for Unsupervised Domain Adaptation. - Yongjie Du; Deyun Zhou; Yu Xie 009; Yu Lei 002; Jiao Shi (Pattern Recognit., 2023)

Propagation Enhanced Neural Message Passing for Graph Representation Learning. - Xiaolong Fan; Maoguo Gong; Yue Wu 004; A. Kai Qin; Yu Xie 009 (IEEE Trans. Knowl. Data Eng., 2023)

Multiparty Dual Learning. - Yuan Gao 019; Maoguo Gong; Yu Xie 009; A. Kai Qin; Ke Pan 001; Yew-Soon Ong (IEEE Trans. Cybern., 2023)

FGSS: Federated global self-supervised framework for large-scale unlabeled data. - Chen Zhang 015; Zixuan Xie; Bin Yu 011; Chao Wen; Yu Xie 009 (Appl. Soft Comput., 2023)

Semisupervised Graph Neural Networks for Graph Classification. - Yu Xie 009; Yanfeng Liang; Maoguo Gong; A. Kai Qin; Yew-Soon Ong; Tiantian He 001 (IEEE Trans. Cybern., 2023)

Random Deep Graph Matching. - Yu Xie 009; Zhiguo Qin; Maoguo Gong; Bin Yu 011; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2023)

Federated Active Semi-Supervised Learning With Communication Efficiency. - Chen Zhang 015; Yu Xie 009; Hang Bai; Xiongwei Hu; Bin Yu 011; Yuan Gao 019 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. - Yuan Gao 019; Yuanqiao Zhang; Maoguo Gong; Qing Cai; Yu Xie 009; Alex Kai Qin (IEEE Trans. Cybern., 2024)

Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning. - Chen Zhang 015; Yu Xie 009; Tingbin Chen; Wenjie Mao; Bin Yu 011 (IEEE Trans. Knowl. Data Eng., 2024)

Federated Collaborative Graph Neural Networks for Few-shot Graph Classification. - Yu Xie 009; Yanfeng Liang; Chao Wen; A. Kai Qin; Maoguo Gong (Mach. Intell. Res., 2024)

Federated semi-supervised learning with contrastive representations against noisy labels. - Wenjie Mao; Bin Yu 011; Yihan Lv; Yu Xie 009; Chen Zhang 015 (Appl. Soft Comput., 2025)

FedKT: Federated learning with knowledge transfer for non-IID data. - Wenjie Mao; Bin Yu 011; Chen Zhang 015; A. Kai Qin; Yu Xie 009 (Pattern Recognit., 2025)

Multi-Scale Contrast for Global-Interaction Graph Representation Learning. - Bin Yu 011; Xuyang Zhang; Yu Xie 009; Chen Zhang 015; Xinlei Wang; Wenjie Mao (IEEE Trans. Netw. Sci. Eng., 2025)

Contrastive Learning Network for Unsupervised Graph Matching. - Yu Xie 009; Lianhang Luo; Tianpei Cao; Bin Yu 011; A. Kai Qin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Dynamic multi-modal hypergraph learning for semi-supervised multi-label image recognition. - Chen Zhang 015; Cheng Xu; Yu Xie 009; Wenjie Mao; Bin Yu 011 (Pattern Recognit., 2026)