An analysis and improvement of error control performance of IS-LDPC codes with a large number of subsets. - Taha ValizadehAslani; Abolfazl Falahati (Phys. Commun., 2018)

Improving Imbalanced Learning by Pre-finetuning with Data Augmentation. - Yiwen Shi; Taha ValizadehAslani; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (LIDTA, 2022)

Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data. - Taha ValizadehAslani; Yiwen Shi; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (CoRR, 2022)

Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment. - Yiwen Shi; Jing Wang; Ping Ren; Taha ValizadehAslani; Yi Zhang; Meng Hu; Hualou Liang (J. Biomed. Informatics, 2023)

PharmBERT: a domain-specific BERT model for drug labels. - Taha ValizadehAslani; Yiwen Shi; Ping Ren; Jing Wang; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (Briefings Bioinform., 2023)

Leveraging GPT-4 for food effect summarization to enhance product-specific guidance development via iterative prompting. - Yiwen Shi; Ping Ren; Jing Wang; Biao Han; Taha ValizadehAslani; Felix Agbavor; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (J. Biomed. Informatics, 2023)

LayerNorm: A key component in parameter-efficient fine-tuning. - Taha ValizadehAslani; Hualou Liang (CoRR, 2024)

Two-stage fine-tuning with ChatGPT data augmentation for learning class-imbalanced data. - Taha ValizadehAslani; Yiwen Shi; Jing Wang; Ping Ren; Yi Zhang; Meng Hu; Liang Zhao; Hualou Liang (Neurocomputing, 2024)