Converting hyperparameter gamma in distance-based loss functions to normal parameter for knowledge graph completion. - Jinglin Zhang 002; Bo Shen 004; Tao Wang 154; Yu Zhong (Appl. Intell., 2023)

Improving PLMs for Graph-to-Text Generation by Relational Orientation Attention. - Tao Wang 154; Bo Shen 004; Jinglin Zhang 002; Yu Zhong (Neural Process. Lett., 2023)

Interaction and Fusion of Rich Textual Information Network for Document-level Relation Extraction. - Yu Zhong; Bo Shen 004; Tao Wang 154; Jinglin Zhang 002; Yun Liu 001 (J. Univers. Comput. Sci., 2024)

Knowledge Graph Embedding via Triplet Component Interactions. - Tao Wang 154; Bo Shen 004; Jinglin Zhang 002; Yu Zhong (Neural Process. Lett., 2024)

Learning hierarchy-aware complex knowledge graph embeddings for link prediction. - Jinglin Zhang 002; Bo Shen 004; Yu Zhang (Neural Comput. Appl., 2024)

A semantic guide-based embedding method for knowledge graph completion. - Jinglin Zhang 002; Bo Shen 004; Tao Wang 154; Yu Zhong (Expert Syst. J. Knowl. Eng., 2024)

A lightweight hierarchical graph convolutional model for knowledge graph representation learning. - Jinglin Zhang 002; Bo Shen 004 (Appl. Intell., 2024)

Knowledge graph completion based on iteratively learning embeddings and noise-aware rules. - Jinglin Zhang 002; Bo Shen 004 (J. King Saud Univ. Comput. Inf. Sci., 2025)