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Haijia Bi
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2020 – today
- 2026
[j10]Shengyue Liu, Haijia Bi, Lu Liu, Niya Yang, Tao Peng:
Fine-Grained Graph Domain Adaptation via Instance Contrastive Learning. Expert Syst. Appl. 296: 129034 (2026)
[j9]Haijia Bi, Lu Liu, Hai Cui, Shengyue Liu, Ridong Han
, Jiayu Han
, Tao Peng
:
Improving few-shot relation classification with multi-scale hierarchical prototype learning. Neural Networks 194: 108124 (2026)- 2025
[j8]Haijia Bi
, Lu Liu, Hai Cui, Ridong Han
, Jiayu Han, Tao Peng:
Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification. Appl. Soft Comput. 183: 113657 (2025)
[j7]Hai Cui
, Meiyu Duan
, Haijia Bi
, Xiaobo Li
, Xiaodi Hou
, Yi-Jia Zhang
:
Heterogeneous graph contrastive learning with gradient balance for drug repositioning. Briefings Bioinform. 26(1) (2025)
[j6]Ridong Han, Jia Liu, Haijia Bi, Tao Peng, Lu Liu:
SCR: A completion-then-reasoning framework for multi-hop question answering over incomplete knowledge graph. Neurocomputing 651: 131027 (2025)
[j5]Haijia Bi, Tao Peng, Jiayu Han, Hai Cui, Lu Liu:
Dynamic matching-prototypical learning for noisy few-shot relation classification. Knowl. Based Syst. 309: 112888 (2025)
[j4]Shengyue Liu, Tao Peng, Niya Yang, Haijia Bi, Lu Liu:
Rethinking structural semantics for unsupervised graph domain adaptation. Knowl. Based Syst. 332: 114878 (2025)
[j3]Hai Cui
, Haijia Bi
, Meiyu Duan
, Shilong Wang
, Yanchen Qu
, Yi-Jia Zhang
:
Multi-View Contrastive Learning for Drug Repositioning on Heterogeneous Biological Networks. IEEE J. Biomed. Health Informatics 29(9): 6902-6914 (2025)- 2024
[j2]Xuan Yang, Tao Peng, Haijia Bi, Jiayu Han
:
Span-level bidirectional retention scheme for aspect sentiment triplet extraction. Inf. Process. Manag. 61(5): 103823 (2024)- 2023
[j1]Hai Cui
, Tao Peng
, Ridong Han
, Beibei Zhu, Haijia Bi, Lu Liu
:
Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph. Inf. Process. Manag. 60(3): 103283 (2023)
Coauthor Index

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last updated on 2026-01-03 00:53 CET by the dblp team
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