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12/29/2022
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
In this paper, we propose TensorFHE, an FHE acceleration solution based ...
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08/31/2022
Application of Data Encryption in Chinese Named Entity Recognition
Recently, with the continuous development of deep learning, the performa...
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06/28/2022
Manu: A Cloud Native Vector Database Management System
With the development of learning-based embedding models, embedding vecto...
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03/04/2021
Deep Graph Structure Learning for Robust Representations: A Survey
Graph Neural Networks (GNNs) are widely used for analyzing graph-structu...
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02/22/2021
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
The ad-hoc retrieval task is to rank related documents given a query and...
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10/30/2020
Deep Active Graph Representation Learning
Graph neural networks (GNNs) aim to learn graph representations that pre...
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09/22/2019
Performance optimization of convolution calculation by blocking and sparsity on GPU
Convolution neural network (CNN) plays a paramount role in machine learn...
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09/22/2019