Three-Dimensional Geometric Statistical Model Based on Locating Feature Points of Gaussian Curvature Flow and Vector Inner Product. - Wei-Ming Liu; Bin Yu 011; Yu Hui; Jun-Sheng Wu (ICCDA, 2017)

Chinese Named Entity Recognition Based on Rules and Conditional Random Field. - Weiming Liu; Bin Yu 011; Chen Zhang 015; Han Wang; Ke Pan (CSAI/ICIMT, 2018)

Massive GIS Spatio-temporal Data Storage Method in Cloud Environment. - Bin Yu 011; Chen Zhang 015; Jiangyan Sun; Yu Zhang (CSAI/ICIMT, 2018)

A Method of Automatic Code Generation Based on AADL Model. - Chen Zhang 015; Xinyi Niu; Bin Yu 011 (CSAI/ICIMT, 2018)

Construction of Biological Model of Human Lumbar and Analysis of its Mechanical Properties. - Yu Hui; Jun-Sheng Wu; Bin Yu 011; Chen Zhang 015; Jing Du (Int. J. Pattern Recognit. Artif. Intell., 2018)

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

A General Multi-Source Data Fusion Framework. - Weiming Liu; Chen Zhang 015; Bin Yu 011; Yitong Li (ICMLC, 2019)

File Matching Based on Secure Authentication and Proxy Homomorphic Re-encryption. - Bin Yu 011; Chen Zhang 015; Weihong Li (ICMLC, 2019)

Missing Data Processing Based on Deep Neural Network Enhanced by K-Means. - Bin Yu 011; Chen Zhang 015; Zhouhua Tang (ICMLC, 2019)

Enhancing Attributed Network Embedding via Similarity Measure. - Bin Yu 011; Yitong Li; Chen Zhang 015; Ke Pan; Yu Xie (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; Maoguo Gong; Bin Yu 011 (Frontiers Neurorobotics, 2019)

Research on Spinal Lumbar Sacral Degeneration Finite Element Model. - Yu Hui; Kai-Rui Zhao; Jun-Sheng Wu; Bin Yu 011; Chen Zhang 015; Jing Du (Int. J. Pattern Recognit. Artif. Intell., 2019)

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

A Privacy-Preserving Multi-Task Framework for Knowledge Graph Enhanced Recommendation. - Bin Yu 011; Chenyu Zhou; Chen Zhang 015; Guodong Wang; Yiming Fan (IEEE Access, 2020)

A Survey on Dynamic Network Embedding. - Yu Xie; 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; Ke Pan (Neurocomputing, 2020)

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

Node proximity preserved dynamic network embedding via matrix perturbation. - Bin Yu 011; Bing Lu; Chen Zhang 015; Chunyi Li; Ke Pan (Knowl. Based Syst., 2020)

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

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

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

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

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

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

Hierarchical Graph Representation Learning with Structural Attention for Graph Classification. - Bin Yu 011; Xinhang Xu; Chao Wen; Yu Xie; 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 (IEEE Trans. Artif. Intell., 2022)

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

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

Random Deep Graph Matching. - Yu Xie; 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; Hang Bai; Xiongwei Hu; Bin Yu 011; Yuan Gao 019 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

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

Federated semi-supervised learning with contrastive representations against noisy labels. - Wenjie Mao; Bin Yu 011; Yihan Lv; Yu Xie; 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 (Pattern Recognit., 2025)

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