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Lei Liu

Variational autoencoder-based neural network model compression

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Aug 25, 2024
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Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks

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Aug 21, 2024
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Distributed Memory Approximate Message Passing

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Jul 25, 2024
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X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images

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Jul 22, 2024
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Interleaved Block-Sparse Transform

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Jul 18, 2024
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A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

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Jun 06, 2024
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Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor

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Jun 02, 2024
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Exploring Channel Estimation and Signal Detection for ODDM-based ISAC Systems

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Jun 01, 2024
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Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing

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May 29, 2024
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Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling

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May 14, 2024
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