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Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf636
Abstract: Abstract Drug repurposing significantly reduces development costs and shortens research cycles, making it a critical strategy in drug discovery. An emerging class of drug repurposing approaches applies deep learning to structural data. However, these methods…
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Keywords:
drug repurposing;
prompt based;
representation learning;
multimodal representation ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213027
Abstract: Prompt-based learning is a method used for language models to interpret natural language by remembering the prior knowledge acquired and the training objective. Recent prompt-based few-shot learners have achieved superior performance by alleviating the catastrophic…
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Keywords:
korean prompt;
prompt;
language;
prompt based ... See more keywords
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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3428483
Abstract: Road network extraction from remote sensing images can provide precise map information for global positioning and planning. While existing transformer-based methods show promising performance in road network extraction, they suffer from misleading results of crossroad…
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Keywords:
prompt based;
road;
road network;
network ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3556531
Abstract: A critical challenge for multi-modal Object Re-Identification (ReID) is the effective aggregation of complementary information to mitigate illumination issues. State-of-the-art methods typically employ complex and highly-coupled architectures, which unavoidably result in heavy computational costs. Moreover,…
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Keywords:
modality;
modal object;
prompt based;
modal ... See more keywords