Taha ValizadehAslani

According to our database, Taha ValizadehAslani authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

LayerNorm: A key component in parameter-efficient fine-tuning.

Taha ValizadehAslani, Hualou Liang

CoRR, 2024

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, December, 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., July, 2023

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, February, 2023

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

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

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

2018

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