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Wei-He Li

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Book Open access Aug 2026

Lasso: Accurate and Efficient Detection of Long-Lived Sparse Items in High-Speed Data Streams

Lasso is proposed, a lightweight and hardware-conscious approach that achieves high detection accuracy under tight memory budgets while sustaining high processing throughput on industry-grade hardware, including Tofino-1 programmable switches and FPGA platforms.

Wei-He Li, Jia-Wei Huang, Zhao-Yi Li et al. · 0 citations
Book Open access Aug 2026

Charon: Stratified Priority Sampling for Differentiated Per-Flow Measurement in High-Speed Networks

Charon, a priority-aware sketch that replaces the structural separation used by prior methods with stratified admission sampling, achieves more than 2× higher detection accuracy for high-priority flows than the best baseline and up to four orders of magnitude lower average error than state-of-the-art priority-aware ske...

Wei-He Li, Xicheng Li, Dimitrios Pezaros et al. · 0 citations
Book Open access Aug 2026

Lasso: Accurate and Efficient Detection of Long-Lived Sparse Items in High-Speed Data Streams

In high-speed data streams, identifying long-lived (also referred to as persistent) sparse items is critical, as such patterns may indicate stealthy or low-rate threats yet remain largely underexplored. Although recent studies have begun to examine this problem, existing approaches either suffer from low lookup accurac...

Weihe Li, Jiawei Huang, Zhaoyi Li et al. · 0 citations

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