An improved K-medoids algorithm based on step increasing and optimizing medoids. - Donghua Yu; GuoJun Liu; Maozu Guo 001; Xiaoyan Liu (Expert Syst. Appl., 2018)

Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment. - Donghua Yu; GuoJun Liu; Maozu Guo 001; Xiaoyan Liu; Shuang Yao (IEEE Access, 2019)

Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm. - Maozu Guo 001; Donghua Yu; GuoJun Liu; Xiaoyan Liu; Shuang Cheng (Intell. Data Anal., 2019)

Density Peaks Clustering Algorithm Based on Weighted k-Nearest Neighbors and Geodesic Distance. - Lina Liu 011; Donghua Yu (IEEE Access, 2020)

A Method for Discovering Hidden Patterns of Cybersecurity Knowledge Based on Hierarchical Clustering. - Zhaoyun Ding; Deqi Cao; Lina Liu 011; Donghua Yu; Haoyang Ma; Fei Wang (DSC, 2021)

Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy. - Lina Liu 011; Shuang Yao; Zhaoyun Ding; Maozu Guo 001; Donghua Yu; Keli Hu (ISBRA, 2021)

Detection of Anomaly User Behaviors Based on Deep Neural Networks. - Zhaoyun Ding; Lina Liu 011; Donghua Yu; Songping Huang; Hang Zhang 008; Kai Liu (TrustCom, 2021)

Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm. - Sonexay Phompida; Donghua Yu (ICATCI (2), 2022)

Temporal Graph Transformer for Dynamic Network. - Zehong Wang; Qi Li; Donghua Yu; Xiaolong Han (ICANN (2), 2022)

TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation. - Zehong Wang; Qi Li; Donghua Yu (CoRR, 2022)

Heterogeneous Graph Contrastive Multi-view Learning. - Zehong Wang; Qi Li; Donghua Yu; Xiaolong Han; Xiao-Zhi Gao 001; Shigen Shen (SDM, 2023)

SR-HGN: Semantic- and Relation-Aware Heterogeneous Graph Neural Network. - Zehong Wang; Donghua Yu; Qi Li; Shigen Shen; Shuang Yao (Expert Syst. Appl., 2023)

Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. - Chen Wang 074; Cong Hu; Jiang Zhong; Huawen Liu; Qi Li 025; Donghua Yu; Xue Li 001 (APWeb/WAIM (1), 2024)

Drug-target interaction prediction based on improved heterogeneous graph representation learning and feature projection classification. - Donghua Yu; Huawen Liu; Shuang Yao (Expert Syst. Appl., 2024)

An improved deep hashing model for image retrieval with binary code similarities. - Huawen Liu; Zongda Wu; Minghao Yin; Donghua Yu; Xinzhong Zhu; Jungang Lou (J. Big Data, 2024)

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning. - Zhibin Jiang; Keli Hu; Jia Qu; Zekang Bian; Donghua Yu; Jie Zhou (Frontiers Neuroinformatics, 2025)

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling. - Zehong Wang; Donghua Yu; Shigen Shen; Shichao Zhang 001; Huawen Liu; Shuang Yao; Maozu Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)