64 citations · 73 across the 4 of their papers we have counts for
4 papers
Concept-Driven Deep Learning for Enhanced Protein-Specific Molecular Generation
Taojie Kuang, Qianli Ma, Athanasios V. Vasilakos +4
In recent years, deep learning techniques have made significant strides in molecular generation for specific targets, driving advancements in drug discovery. However, existing mole…
ProtFAD: Introducing function-aware domains as implicit modality towards protein function prediction
Mingqing Wang, Zhiwei Nie, Yonghong He +2
Protein function prediction is currently achieved by encoding its sequence or structure, where the sequence-to-function transcendence and high-quality structural data scarcity lead…
Large language models in 6G security: challenges and opportunities
Tri Nguyen, Huong Nguyen, Ahmad Ijaz +3
The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. How…
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
Gokul Yenduri, Ramalingam M, Chemmalar Selvi G +9
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machin…