Haijia Bi

According to our database, Haijia Bi authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Improving few-shot relation classification with multi-scale hierarchical prototype learning.

Haijia Bi, Lu Liu, Hai Cui, Shengyue Liu, Ridong Han, Jiayu Han, Tao Peng

Neural Networks, 2026

Fine-Grained Graph Domain Adaptation via Instance Contrastive Learning.

Shengyue Liu, Haijia Bi, Lu Liu, Niya Yang, Tao Peng

Expert Syst. Appl., 2026

2025

Multi-View Contrastive Learning for Drug Repositioning on Heterogeneous Biological Networks.

Hai Cui, Haijia Bi, Meiyu Duan, Shilong Wang, Yanchen Qu, Yi-Jia Zhang

IEEE J. Biomed. Health Informatics, September, 2025

Heterogeneous graph contrastive learning with gradient balance for drug repositioning.

Hai Cui, Meiyu Duan, Haijia Bi, Xiaobo Li, Xiaodi Hou, Yi-Jia Zhang

Briefings Bioinform., January, 2025

Dynamic matching-prototypical learning for noisy few-shot relation classification.

Haijia Bi, Tao Peng, Jiayu Han, Hai Cui, Lu Liu

Knowl. Based Syst., 2025

SCR: A completion-then-reasoning framework for multi-hop question answering over incomplete knowledge graph.

Ridong Han, Jia Liu, Haijia Bi, Tao Peng, Lu Liu

Neurocomputing, 2025

Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification.

Haijia Bi, Lu Liu, Hai Cui, Ridong Han, Jiayu Han, Tao Peng

Appl. Soft Comput., 2025

2024

Span-level bidirectional retention scheme for aspect sentiment triplet extraction.

Xuan Yang, Tao Peng, Haijia Bi, Jiayu Han

Inf. Process. Manag., 2024

2023

Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph.

Hai Cui, Tao Peng, Ridong Han, Beibei Zhu, Haijia Bi, Lu Liu

Inf. Process. Manag., May, 2023