145 citations
- Dalian University of TechnologyCN118 papers
- Northeast Normal UniversityCN9 papers
- Chinese Academy of SciencesCN7 papers
- Institute of Theoretical PhysicsCN6 papers
- Liaoning Normal UniversityCN6 papers
- Peking UniversityCN6 papers
- Harbin Institute of TechnologyCN5 papers
- Kavli Institute for Theoretical SciencesCN4 papers
- University of PortsmouthGB4 papers
- Bohai UniversityCN3 papers
- Dalian Maritime UniversityCN3 papers
- Oak Ridge National LaboratoryUS3 papers
5 papers · 1 filter
A Distance-Deviation Consistency and Model-Independent Method to Test the Cosmic Distance-Duality Relation
C. C. Zhou, J. Hu, M. C. LI +2
A distance-deviation consistency and model-independent method to test the cosmic distance duality relation (CDDR) is provided. The method is worth attention on two aspects: firstly…
Proton and Li-Ion Permeation through Graphene with Eight-Atom-Ring Defects
Eoin Griffin, Lucas Mogg, Guang-Ping Hao +21
Defect-free graphene is impermeable to gases and liquids but highly permeable to thermal protons. Atomic-scale defects such as vacancies, grain boundaries and Stone-Wales defects a…
Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network
Huiwei Zhou, Zhuang Liu, Shixian Ning +4
Automatically extracting Protein-Protein Interactions (PPI) from biomedical literature provides additional support for precision medicine efforts. This paper proposes a novel memor…
Knowledge-aware Attention Network for Protein-Protein Interaction Extraction
Huiwei Zhou, Zhuang Liu1, Shixian Ning +3
Protein-protein interaction (PPI) extraction from published scientific literature provides additional support for precision medicine efforts. However, many of the current PPI extra…
Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge
Huiwei Zhou, Shixian Ning, Yunlong Yang +3
Chemical-disease relation (CDR) extraction is significantly important to various areas of biomedical research and health care. Nowadays, many large-scale biomedical knowledge bases…