Publications

An up to date list of publications can be found in my Google Scholar, ORCID, DBLP, and Scopus profiles.

• Prasun C. Tripathi, Sina Tabakhi, Mohammod N. I. Suvon, Lawrence Schöb, Samer Alabed, Andrew J. Swift, Shuo Zhou, and Haiping Lu, Interpretable multimodal learning for cardiovascular hemodynamics assessment, IEEE Transactions on Medical Imaging, 2026 [ArXiv version]
• Xianyuan Liu, ..., Sina Tabakhi, ..., Haiping Lu, Towards deployment-centric multimodal AI beyond vision and language, Nature Machine Intelligence, 7, 1612–1624, 2025 [ArXiv version]
• Xiaokun Liu, ..., Sina Tabakhi, ..., Haiping Lu, Interpretable multimodal learning for tumor protein-metal binding: Progress, challenges, and perspectives, Methods, 242, 97-112, 2025 [ArXiv version]
• Sina Tabakhi, Mohammod N. I. Suvon, Pegah Ahadian, and Haiping Lu, Multimodal learning for multi-omics: A survey, World Scientific Annual Review of Artificial Intelligence, 1, 2250004, 2023 [ArXiv version]
• Sina Tabakhi and Parham Moradi, Universal feature selection tool (UniFeat): An open-source tool for dimensionality reduction, Neurocomputing, 535, 156-165, 2023 [ArXiv version]
• Sina Tabakhi and Parham Moradi, Relevance–redundancy feature selection based on ant colony optimization, Pattern Recognition, 48, 2798-2811, 2015
• Sina Tabakhi, Ali Najafi, Reza Ranjbar, and Parham Moradi, Gene selection for microarray data classification using a novel ant colony optimization, Neurocomputing, 168, 1024-1036, 2015
• Sina Tabakhi, Parham Moradi, and Fardin Akhlaghian, An unsupervised feature selection algorithm based on ant colony optimization, Engineering Applications of Artificial Intelligence, 32, 112-123, 2014

• Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, and Haiping Lu, Heterogeneous graph attention network improves cancer multiomics integration, 33^rd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB), Liverpool, UK, 2025 (Abstract accepted)
• Jiayang Zhang, Xianyuan Liu, Wei Wu, Sina Tabakhi, Wenrui Fan, Shuo Zhou, Kang Lan Tee, Tuck Seng Wong, and Haiping Lu, Classifying the stoichiometry of virus-like particles with interpretable machine learning, 47^th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Copenhagen, Denmark, 1-7, 2025
• Sina Tabakhi and Haiping Lu, Multi-agent feature selection for integrative multi-omics analysis, 44^th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, UK, 1638-1642, 2022

• Sina Tabakhi, Chen (Cherise) Chen, and Haiping Lu, Missing-modality-aware graph neural network for cancer classification, ArXiv Preprint, arXiv:2506.22901, 2026
• Sayedmohammadreza Rastegari, Sina Tabakhi, Xianyuan Liu, Tianyi Jiang, Wei Sang, and Haiping Lu, Co-evolution-based metal-binding residue prediction with graph neural networks, ArXiv Preprint, arXiv:2502.16189, 2026
• Sina Tabakhi, Charlotte Vandermeulen, Ian Sudbery, and Haiping Lu, Heterogeneous graph attention network with multimodal feature selection for cancer multiomics integration, ArXiv Preprint, arXiv:2408.02845, 2024

• sina.tabakhi [at] icr.ac.uk
• The Institute of Cancer Research,
  Chester Beatty Laboratories,
  237 Fulham Road, London, UK,
  SW3 6JB.