Zhaohan Meng

Email: z.meng.3@research.gla.ac.uk

B171, Sir Alwyn Williams Building, University of Glasgow, Glasgow, G12 8QN

ORCID iDhttps://orcid.org/0009-0003-3209-7134

Research title: Heterogeneous entity representation learning for knowledge graph in biomedical science

Research Summary

My research interests lie broadly in knowledge graphs (KGs) and large language models (LLMs), focusing on their intersection with an emphasis on biomedical applications. Currently, I am exploring knowledge-driven LLMs and knowledge-driven multi-modal learning, which involves integrating knowledge into multi-modal learning or incorporating multi-modal learning into the representation of knowledge.

  • Geometric Deep Learning (Graph Neural Networks)
  • Large Language Models (LLMs)
  • Knowledge Graphs (KGs)
  • AI4Science

Publications

List by: Type | Date

Jump to: 2024
Number of items: 2.

2024

Meng, Z., Liu, S., Liang, S., Jani, B. and Meng, Z. (2024) Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings in Bioinformatics, 25(5), bbae380. (doi: 10.1093/bib/bbae380) (PMID:39154194) (PMCID:PMC11330343)

Meng, Z., Meng, Z. and Ounis, I. (2024) FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. 5th AI for Science workshop: Scaling in AI for SCientific Discovery at The 41st International Conference on Machine Learning, Vienna, Austria, 26-27 July 2024. (Accepted for Publication)

This list was generated on Fri Dec 20 21:54:46 2024 GMT.
Jump to: Articles | Conference or Workshop Item
Number of items: 2.

Articles

Meng, Z., Liu, S., Liang, S., Jani, B. and Meng, Z. (2024) Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings in Bioinformatics, 25(5), bbae380. (doi: 10.1093/bib/bbae380) (PMID:39154194) (PMCID:PMC11330343)

Conference or Workshop Item

Meng, Z., Meng, Z. and Ounis, I. (2024) FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. 5th AI for Science workshop: Scaling in AI for SCientific Discovery at The 41st International Conference on Machine Learning, Vienna, Austria, 26-27 July 2024. (Accepted for Publication)

This list was generated on Fri Dec 20 21:54:46 2024 GMT.

Supervisors