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Published in 2022 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-021-01547-8
Abstract: Transformer architectures have brought about fundamental changes to computational linguistic field, which had been dominated by recurrent neural networks for many years. Its success also implies drastic changes in cross-modal tasks with language and vision,…
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Keywords:
tasks language;
transformer architecture;
language vision;
cross modal ... See more keywords
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Published in 2025 at "Communications Biology"
DOI: 10.1038/s42003-025-09064-x
Abstract: Artificial intelligence is increasingly important in drug discovery, particularly in molecular property prediction. Graph Neural Networks can model molecular structures as graphs, using structural data to predict molecular properties and biological activities effectively. However, molecular…
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Keywords:
transformer architecture;
prediction;
transformer;
property prediction ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260849
Abstract: In recent years, hardware advancements have enabled natural language processing tasks that were previously difficult to achieve due to their intense computing requirements. This study focuses on paraphrase generation, which entails rewriting a sentence using…
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Keywords:
transformer architecture;
generation;
generation model;
model ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3440226
Abstract: The incorporation of renewable energy sources into the power grid has necessitated the development of sophisticated forecasting models that can effectively handle the inherent fluctuation and uncertainty associated with renewable energy generation. In this study,…
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Keywords:
transformer architecture;
pca transformer;
energy;
renewable energy ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3599506
Abstract: With the development of the Internet of Things, cross-view geolocation of satellite images and uncrewed aerial vehicles (UAVs) aerial images is gaining attention due to its significant potential in denied-navigation environments under global navigation satellite…
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Keywords:
navigation;
transformer architecture;
based improved;
improved transformer ... See more keywords
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Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3347765
Abstract: Deep learning-based approaches play important roles and achieve impressive performances in remote sensing image change detection. Most of the networks are designed by the researchers with rich experiences. It is difficult to design the fixed…
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Keywords:
change detection;
search;
transformer architecture;
remote sensing ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3601083
Abstract: The latest remote sensing image saliency detectors primarily rely on RGB information alone. However, spatial and geometric information embedded in depth images is robust to variations in lighting and color. Integrating depth information with RGB…
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Keywords:
detection;
information;
guided transformer;
transformer architecture ... See more keywords
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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3378781
Abstract: Transformers have shown remarkable performance, however, their architecture design is a time-consuming process that demands expertise and trial-and-error. Thus, it is worthwhile to investigate efficient methods for automatically searching high-performance Transformers via Transformer Architecture Search…
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Keywords:
training free;
architecture search;
search;
transformer architecture ... See more keywords
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Published in 2025 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.70083
Abstract: This research presents an innovative framework for lithology detection that combines domain adaptation, an Actor–Critic reinforcement learning (RL) architecture and Transformer‐based sequence modelling to enhance log interpretation reliability in complex depositional environments. The study first…
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Keywords:
hybrid transferable;
architecture;
transformer architecture;
lithology ... See more keywords
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Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0328687
Abstract: This paper proposes a multi-path effect analysis model for major economies in the global trade network based on the MH-DP Transformer architecture. The global trade network comprises interconnected nodes, with interactions among major economies (China,…
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Keywords:
trade;
transformer architecture;
global trade;
trade networks ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14041356
Abstract: To achieve the anticipated performance of massive multiple input multiple output (MIMO) systems in wireless communication, it is imperative that the user equipment (UE) accurately feeds the channel state information (CSI) back to the base…
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Keywords:
transformer architecture;
multi head;
csi feedback;
csi ... See more keywords