Lecturer
- About
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- School/Department
- School of Natural and Computing Sciences
Biography
I am an Assistant Professor at the School of Natural and Computing Science, University of Aberdeen, UK. Before this position, I was a Postdoctoral researcher at MBZUAI. Currently, I work on the following topics with my collaborators all over the world:
- LLM Multi-agent Collaboration
- GNN for biomedical network interaction (e.g., DNA, RNA, Protein, Diseases, Bacteria)
- Multi-modal Single-cell Analysis
- Biomedical Image Analysis
I used to be a PhD student of Terrier team, supervised by Prof. Iadh Ounis and Prof. Craig Macdonald.
I am one of the co-founders and main contributors of the Beta-Recsys project, an open-source project for Building, Evaluating and Tuning Automated Recommender Systems.
- Research
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Research Areas
Accepting PhDs
I am currently accepting PhDs in Artificial Intelligence.
Please get in touch if you would like to discuss your research ideas further.
Artificial Intelligence
Accepting PhDsResearch Specialisms
- Artificial Intelligence
- Bioinformatics
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
Current Research
- LLM Multi-agent Collaboration
- GNN for biomedical network interaction (e.g., DNA, RNA, Protein, Diseases, Bacteria)
- Multi-modal Single-cell Analysis
- Biomedical Image Analysis
- Teaching
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Teaching Responsibilities
1. Data Mining and Visualisation
2. Natural Language Processing
- Publications
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Page 1 of 2 Results 1 to 10 of 14
RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation
Expert Systems with Applications, vol. 279, 127419Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.eswa.2025.127419
PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction
Machine Learning: Science and Technology, vol. 5, no. 4, 045028Contributions to Journals: ArticlesEnhancing Graph Neural Networks via Memorized Global Information
ACM Transactions on the Web, vol. 18, no. 4, pp. 1-34Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1145/3689430
Heterogeneous biomedical entity representation learning for gene–disease association prediction
Briefings in Bioinformatics, vol. 25, no. 5, bbae380Contributions to Journals: ArticlesMessages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 4, pp. 233-2347Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1109/TPAMI.2023.3331389
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation
Information Processing and Management, vol. 61, no. 2, 103601Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.ipm.2023.103601
- [ONLINE] View publication in Scopus
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction
BMC Bioinformatics, vol. 24, 335Contributions to Journals: ArticlesSequence pre-training-based graph neural network for predicting lncRNA-miRNA associations
Briefings in Bioinformatics, vol. 24, no. 5, bbad317Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1093/bib/bbad317
Leveraging Relational Graph Neural Network for Transductive Model Ensemble
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1145/3580305.3599414
Graph Neural Pre-training for Recommendation with Side Information
ACM Transactions on Information Systems, vol. 41, no. 3, 74Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1145/3568953