Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches. - Sina Abdollahi; Peng-Chan Lin; Meng-Ru Shen; Jung-Hsien Chiang (Briefings Bioinform., 2021)

WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE J. Biomed. Health Informatics, 2021)

DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Highly Efficient and Revocable CP-ABE with Outsourcing Decryption for IoT. - Sina Abdollahi; Javad Mohajeri; Mahmoud Salmasizadeh (ISC Int. J. Inf. Secur., 2023)

GuaranTEE: Towards Attestable and Private ML with CCA. - Sandra Deepthy Siby; Sina Abdollahi; Mohammad Maheri; Marios Kogias; Hamed Haddadi (EuroMLSys@EuroSys, 2024)

P4: Towards private, personalized, and Peer-to-Peer learning. - Mohammad Mahdi Maheri; Sandra Deepthy Siby; Sina Abdollahi; Anastasia Borovykh; Hamed Haddadi (CoRR, 2024)

A comprehensive comparison of deep learning-based compound-target interaction prediction models to unveil guiding design principles. - Sina Abdollahi; Darius P. Schaub; Madalena Barroso; Nora C. Laubach; Wiebke Hutwelker; Ulf Panzer; Søren W. Gersting; Stefan Bonn (J. Cheminformatics, 2024)

An Early Experience With Confidential Computing Architecture for On-Device Model Protection. - Sina Abdollahi; Mohammad Maheri; Sandra Deepthy Siby; Marios Kogias; Hamed Haddadi (EuroS&P (Workshops), 2025)