Donghua Yu

According to our database, Donghua Yu authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 2024

2023

SR-HGN: Semantic- and Relation-Aware Heterogeneous Graph Neural Network.

Zehong Wang, Donghua Yu, Qi Li, Shigen Shen, Shuang Yao

Expert Syst. Appl., August, 2023

Heterogeneous Graph Contrastive Multi-view Learning.

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation.

Zehong Wang, Qi Li, Donghua Yu

CoRR, 2022

Temporal Graph Transformer for Dynamic Network.

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Detection of Anomaly User Behaviors Based on Deep Neural Networks.

Zhaoyun Ding, Lina Liu, Donghua Yu, Songping Huang, Hang Zhang, Kai Liu

Proceedings of the 20th IEEE International Conference on Trust, 2021

Drug-Target Interaction Prediction Based on Gaussian Interaction Profile and Information Entropy.

Lina Liu, Shuang Yao, Zhaoyun Ding, Maozu Guo, Donghua Yu, Keli Hu

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

A Method for Discovering Hidden Patterns of Cybersecurity Knowledge Based on Hierarchical Clustering.

Zhaoyun Ding, Deqi Cao, Lina Liu, Donghua Yu, Haoyang Ma, Fei Wang

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

Density Peaks Clustering Algorithm Based on Weighted k-Nearest Neighbors and Geodesic Distance.

Lina Liu, Donghua Yu

IEEE Access, 2020

2019

Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm.

Maozu Guo, Donghua Yu, GuoJun Liu, Xiaoyan Liu, Shuang Cheng

Intell. Data Anal., 2019

Density Peaks Clustering Based on Weighted Local Density Sequence and Nearest Neighbor Assignment.

Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu, Shuang Yao

IEEE Access, 2019

2018

An improved K-medoids algorithm based on step increasing and optimizing medoids.

Donghua Yu, GuoJun Liu, Maozu Guo, Xiaoyan Liu

Expert Syst. Appl., 2018