activity
20202025
most citedDensely Connected Residual Network for Attack Recognition

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

Shiyi Yang, Xiaoxue Yu, Rongpeng Li +3

Operating Large Language Models (LLMs) on edge devices is increasingly challenged by limited communication bandwidth and strained computational and memory costs. Thus, cloud-assist…

cs.LG2025

Lower Ricci Curvature for Hypergraphs

Shiyi Yang, Can Chen, Didong Li

Networks with higher-order interactions, prevalent in biological, social, and information systems, are naturally represented as hypergraphs, yet their structural complexity poses f…

cs.CR2021

Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network

Shiyi Yang, Hui Guo, Nour Moustafa

Machine learning (ML)-based intrusion detection systems (IDSs) play a critical role in discovering unknown threats in a large-scale cyberspace. They have been adopted as a mainstre…

cs.CR2021

Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector

Peilun Wu, Hui Guo

Email threat is a serious issue for enterprise security. The threat can be in various malicious forms, such as phishing, fraud, blackmail and malvertisement. The traditional anti-s…

cs.CR2020★ 1 cited

DualNet: Locate Then Detect Effective Payload with Deep Attention Network

Shiyi Yang, Peilun Wu, Hui Guo

Network intrusion detection (NID) is an essential defense strategy that is used to discover the trace of suspicious user behaviour in large-scale cyberspace, and machine learning (…

cs.CR2020★ 2 cited

Densely Connected Residual Network for Attack Recognition

Peilun Wu, Nour Moustafa, Shiyi Yang +1

High false alarm rate and low detection rate are the major sticking points for unknown threat perception. To address the problems, in the paper, we present a densely connected resi…