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Joint Time-Vertex Fractional Fourier Transform

Excited to share our latest research published in Signal Processing, introducing the Joint Time-Vertex Fractional Fourier Transform (JFRT), a novel framework that extends traditional joint time-vertex analysis into the fractional domain. By integrating fractional orders in both time and graph domains, JFRT not only generalizes existing Fourier-based methods but also delivers enhanced performance in tasks […]

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New studies by Dr. Algin and his team on Diffusion Tensor Imaging and MR Cisternography have been published in SCI journals.

Oktay Algin and his colleagues conducted two studies published in two international scientific journals. The names of these studies are ‘Evaluation of the Glymphatic System in Rabbits Using Gadobutrol-Enhanced MR Cisternography With T1 and T2 Mapping’ and ‘Thalamo-insular cortex connections in the rat and human’. The related articles can be accessed at the following links: https://pubmed.ncbi.nlm.nih.gov/39746567/ https://pubmed.ncbi.nlm.nih.gov/39746567/

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Semantic Communication Over Channels with Insertions, Deletions, and Substitutions

Happy to share the first semantic communication framework on insertion-deletion-substitution (IDS) channels as published in our latest paper titled “Semantic Communication over Channels with Insertions, Deletions, and Substitutions” published in IEEE Communications Letters! A significant class of binary input channels are prone to synchronization errors, which are modeled as IDS channels. IDS channels occur in […]

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Sememe Based Semantic Communications

Happy to share our latest paper titled “Sememe Based Semantic Communications” published in IEEE Communications Letters! We introduced a concept in linguistics called sememes to the domain of semantic communications. Sememes are the smallest and indivisible semantic units of word meaning. A predefined set of sememes is theoretically considered “the periodic table” of meaning in […]

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VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks

We are happy to announce that we demonstrated our latest work titled “VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks” at ACL 2024, Bangkok/Thailand!   In our #ACL2024 paper, we explore the powerful combination of transformers and graph neural networks (GNNs) to push the boundaries of natural language processing (NLP). While transformers have […]

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