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2020 – today
- 2026
[j58]Chen Zhang, Cheng Xu
, Yu Xie, Wenjie Mao, Bin Yu:
Dynamic multi-modal hypergraph learning for semi-supervised multi-label image recognition. Pattern Recognit. 169: 111959 (2026)- 2025
- [j57]Wenjie Mao, Bin Yu, Yihan Lv, Yu Xie, Chen Zhang:
Federated semi-supervised learning with contrastive representations against noisy labels. Appl. Soft Comput. 180: 113421 (2025) - [j56]Wenjie Mao, Bin Yu, Chen Zhang, A. Kai Qin, Yu Xie:
FedKT: Federated learning with knowledge transfer for non-IID data. Pattern Recognit. 159: 111143 (2025) - [j55]Yu Xie, Lianhang Luo, Tianpei Cao, Bin Yu, A. Kai Qin:
Contrastive Learning Network for Unsupervised Graph Matching. IEEE Trans. Circuits Syst. Video Technol. 35(1): 643-656 (2025) - [j54]Bin Yu, Xuyang Zhang, Yu Xie, Chen Zhang, Xinlei Wang, Wenjie Mao:
Multi-Scale Contrast for Global-Interaction Graph Representation Learning. IEEE Trans. Netw. Sci. Eng. 12(5): 3541-3554 (2025) - 2024
- [j53]Yu Xie, Yanfeng Liang, Chao Wen, A. Kai Qin, Maoguo Gong:
Federated Collaborative Graph Neural Networks for Few-shot Graph Classification. Mach. Intell. Res. 21(6): 1077-1091 (2024) - [j52]Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, Alex Kai Qin:
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. IEEE Trans. Cybern. 54(9): 5283-5296 (2024) - [j51]Chen Zhang, Yu Xie, Tingbin Chen, Wenjie Mao, Bin Yu:
Prototype Similarity Distillation for Communication-Efficient Federated Unsupervised Representation Learning. IEEE Trans. Knowl. Data Eng. 36(11): 6865-6876 (2024) - 2023
- [j50]Chen Zhang, Zixuan Xie, Bin Yu, Chao Wen, Yu Xie:
FGSS: Federated global self-supervised framework for large-scale unlabeled data. Appl. Soft Comput. 143: 110453 (2023) - [j49]Jingwei Kou, Tao Zhan, Deyun Zhou, Yu Xie, Zhengshang Da, Maoguo Gong:
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements. Neurocomputing 517: 173-187 (2023) - [j48]Yongjie Du, Ying Zhou, Yu Xie, Deyun Zhou, Jiao Shi, Yu Lei:
Unsupervised domain adaptation via progressive positioning of target-class prototypes. Knowl. Based Syst. 273: 110586 (2023) - [j47]Yongjie Du, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi:
Prototype-Guided Feature Learning for Unsupervised Domain Adaptation. Pattern Recognit. 135: 109154 (2023) - [j46]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j45]Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j44]Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j43]Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang:
Random Deep Graph Matching. IEEE Trans. Knowl. Data Eng. 35(10): 10411-10422 (2023) - [j42]Chen Zhang, Yu Xie, Hang Bai, Xiongwei Hu, Bin Yu, Yuan Gao:
Federated Active Semi-Supervised Learning With Communication Efficiency. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6744-6756 (2023) - [c3]Chen Zhang, Rui Chen, Wenliya Luo, Yu Xie, Wei Zhou, Tao Luo:
Batch Fabrication of Flexible Paper-Based Pressure Sensors via Thermoplastic Self-Packaging. NEMS 2023: 37-40 - 2022
- [j41]Chen Zhang, Hang Bai, Yonggang Zhang, Xinyi Niu, Bin Yu, Yuan Gao, Yu Xie:
Federated Multitask Learning for HyperFace. IEEE Trans. Artif. Intell. 3(5): 788-797 (2022) - [j40]Yu Xie, Shengze Lv, Yuhua Qian, Chao Wen, Jiye Liang:
Active and Semi-Supervised Graph Neural Networks for Graph Classification. IEEE Trans. Big Data 8(4): 920-932 (2022) - [j39]Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j38]Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 300-314 (2022) - [j37]Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu:
Heuristic 3D Interactive Walks for Multilayer Network Embedding. IEEE Trans. Knowl. Data Eng. 34(7): 3309-3321 (2022) - [j36]Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, Alex Kai Qin:
Exploring Temporal Information for Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3754-3764 (2022) - [j35]Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang:
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 244-256 (2022) - [j34]Chao Wen, Yu Xie, Zhiwei Qiao, Liyun Xu, Yuhua Qian:
A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation. IEEE Trans. Veh. Technol. 71(6): 6059-6072 (2022) - [j33]Bin Yu, Wenjie Mao, Yihan Lv, Chen Zhang, Yu Xie:
A survey on federated learning in data mining. WIREs Data Mining Knowl. Discov. 12(1) (2022) - [c2]Bin Yu, Xinhang Xu, Chao Wen, Yu Xie, Chen Zhang:
Hierarchical Graph Representation Learning with Structural Attention for Graph Classification. CICAI (2) 2022: 473-484 - 2021
- [j32]Bin Yu, Yu Zhang, Yu Xie, Chen Zhang, Ke Pan:
Influence-aware graph neural networks. Appl. Soft Comput. 104: 107169 (2021) - [j31]Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong:
Federated matrix factorization for privacy-preserving recommender systems. Appl. Soft Comput. 111: 107700 (2021) - [j30]Chen Zhang, Yiming Fan, Yu Xie, Bin Yu, Chunyi Li, Ke Pan:
Dynamic network embedding via structural attention. Expert Syst. Appl. 176: 114895 (2021) - [j29]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Learning smooth representations with generalized softmax for unsupervised domain adaptation. Inf. Sci. 544: 415-426 (2021) - [j28]Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. Kai Qin:
Graph embedding via multi-scale graph representations. Inf. Sci. 578: 102-115 (2021) - [j27]Chen Zhang, Yu Xie, Hang Bai, Bin Yu, Weihong Li, Yuan Gao:
A survey on federated learning. Knowl. Based Syst. 216: 106775 (2021) - [j26]Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi:
Label propagation with multi-stage inference for visual domain adaptation. Knowl. Based Syst. 216: 106809 (2021) - [j25]Chao Han, Deyun Zhou, Yu Xie, Maoguo Gong, Yu Lei, Jiao Shi:
Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation. Pattern Recognit. 113: 107802 (2021) - [j24]Yu Xie, Bin Yu, Shengze Lv, Chen Zhang, Guodong Wang, Maoguo Gong:
A survey on heterogeneous network representation learning. Pattern Recognit. 116: 107936 (2021) - [j23]Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie:
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. IEEE Trans. Evol. Comput. 25(2): 262-276 (2021) - [j22]Yuan Gao, Maoguo Gong, Yu Xie, Alex Kai Qin:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - [i4]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - [i3]Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i2]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - 2020
- [j21]Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, Alex Kai Qin:
A Survey on Differentially Private Machine Learning [Review Article]. IEEE Comput. Intell. Mag. 15(2): 49-64 (2020) - [j20]Chen Zhang, Zhouhua Tang, Bin Yu, Yu Xie, Ke Pan:
Deep heterogeneous network embedding based on Siamese Neural Networks. Neurocomputing 388: 1-11 (2020) - [j19]Yuan Gao, Maoguo Gong, Yu Xie, Hua Zhong:
Community-oriented attributed network embedding. Knowl. Based Syst. 193: 105418 (2020) - [j18]Chen Zhang, Guodong Wang, Bin Yu, Yu Xie, Ke Pan:
Proximity-aware heterogeneous information network embedding. Knowl. Based Syst. 193: 105468 (2020) - [j17]Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. Kai Qin:
Graph convolutional networks with multi-level coarsening for graph classification. Knowl. Based Syst. 194: 105578 (2020) - [j16]Yu Xie, Han Wang, Bin Yu, Chen Zhang:
Secure collaborative few-shot learning. Knowl. Based Syst. 203: 106157 (2020) - [j15]Maoguo Gong, Jialun Feng, Yu Xie:
Privacy-enhanced multi-party deep learning. Neural Networks 121: 484-496 (2020) - [j14]Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang:
Local distinguishability aggrandizing network for human anomaly detection. Neural Networks 122: 364-373 (2020) - [j13]Maoguo Gong, Ke Pan, Yu Xie, A. Kai Qin, Zedong Tang:
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Neural Networks 125: 131-141 (2020) - [j12]Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han:
MGAT: Multi-view Graph Attention Networks. Neural Networks 132: 180-189 (2020) - [j11]Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li:
Structured self-attention architecture for graph-level representation learning. Pattern Recognit. 100: 107084 (2020) - [j10]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Visual domain adaptation based on modified A-distance and sparse filtering. Pattern Recognit. 104: 107254 (2020) - [j9]Maoguo Gong, Chuanyu Yao, Yu Xie, Mingliang Xu:
Semi-supervised network embedding with text information. Pattern Recognit. 104: 107347 (2020) - [j8]Bin Yu, Jinzhi Hu, Yu Xie, Chen Zhang, Zhouhua Tang:
Rich heterogeneous information preserving network representation learning. Pattern Recognit. 108: 107564 (2020) - [j7]Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang:
Community Preserving Network Embedding Based on Memetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 108-118 (2020) - [c1]Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong:
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. IJCNN 2020: 1-6 - [i1]Yu Xie, Chunyi Li, Bin Yu, Chen Zhang, Zhouhua Tang:
A Survey on Dynamic Network Embedding. CoRR abs/2006.08093 (2020)
2010 – 2019
- 2019
- [j6]Bin Yu, Yitong Li, Chen Zhang, Ke Pan, Yu Xie:
Enhancing Attributed Network Embedding via Similarity Measure. IEEE Access 7: 166235-166245 (2019) - [j5]Chen Zhang, Xiongwei Hu, Yu Xie, Maoguo Gong, Bin Yu:
A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. Frontiers Neurorobotics 13: 112 (2019) - [j4]Yu Xie, Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Bin Yu:
Sim2vec: Node similarity preserving network embedding. Inf. Sci. 495: 37-51 (2019) - [j3]Yu Xie, Maoguo Gong, A. Kai Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j2]Maoguo Gong, Ke Pan, Yu Xie:
Differential privacy preservation in regression analysis based on relevance. Knowl. Based Syst. 173: 140-149 (2019) - 2018
- [j1]Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu:
Community discovery in networks with deep sparse filtering. Pattern Recognit. 81: 50-59 (2018)
Coauthor Index
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