Welcome to Siwei’s homepage
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.
News
Oct, 2024. Our paper entitled PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction is accepted by Machine Learning: Science and Technology.
Oct, 2024. Our paper entitled [Active Learning for Multi-Class Drug-Drug Interactions Prediction] is accepted by IEEE, International Conference on Bioinformatics and Biomedicine.
June, 2024. Our paper entitled Heterogeneous biomedical entity representation learning for gene-disease association prediction is accepted by Briefings in Bioinformatics.
June, 2024. Our paper entitled BPP: A Platform for Automatic Biochemical Pathway Prediction is accepted by Briefings in Bioinformatics.
Nov, 2023. Our paper entitled A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation is accepted by Information Processing and Management.
Nov, 2023. Our paper entitled Messages Are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-series Forecasting is accepted by TPAMI.
Aug, 2023. Our paper entitled Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations is accepted by Briefings in Bioinformatics (IF=9.5).
Aug, 2023. Our paper entitled HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction is accepted by BMC Bioinformatics (IF=3.327).
May, 2023. Our paper entitled Leveraging Relational Graph Neural Network for Transductive Model Ensemble is accepted by SIGKDD (CCF A).
Nov, 2022. I gave a talk on Graph Neural Networks at UN Big Data Hackathon 2022. The powerpoint is available here.
Oct, 2022. I start my Postdoc at MBZUAI (Abu Dhabi) with Dr Shangsong Liang.
Oct. 2022. Our paper entitled Graph neural pre-training for recommendation with side information is accepted by ACM TOIS (CCF A).
Mar. 2022. Our paper entitled An MLP-based Algorithm for Efficient Contrastive Graph Recommendations is accepted by ACM SIGIR (CCF A).