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Che-Rung Lee

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Book Open access Sep 2026

Towards eBPF Support in a Memory-Safe OS: A Case Study on Asterinas

While eBPF is widely used for kernel extensibility, its integration into memory-safe kernel architectures remains largely unexplored. We present preliminary work on integrating eBPF into Asterinas, a framekernel that restricts unsafe Rust to a minimal Trusted Computing Base (TCB). We introduce an eBPF hook at the UDP p...

Yi-Jia Chen, Che-Rung Lee · 0 citations
Conference Jul 2026

DATT: Dimension-Augmented Tensor-Train Decomposition for Neural Network Compression

Traditional model reduction techniques for neural network compression usually leverage existing matrix/tensor decomposition methods to explore the redundancy among model parameters, which may overlook the local structures of the models. In this work, we propose a novel low-rank approximation algorithm, called Dimension...

Yu-Chuan Tai, Cheng-Yu Sie, Che-Rung Lee · 0 citations

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