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

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

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., 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