1 citations · 1 across the 7 of their papers we have counts for
8 papers
SAGE: A Statistical Acceptance Gate for Self-Evolving Agents
Yihao Wang, Linhan Xia, Rui Liu +6
Large Language Model (LLM)-based agents increasingly self-evolve by editing a persistent skill document that encodes their workflow, tool-use rules, and decision logic. This loop h…
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
Mohammed N. Swileh, Shengli Zhang, Kai Lei
Software-Defined Networking (SDN) provides flexible and programmable network management; however, its centralized control architecture remains highly vulnerable to Distributed Deni…
ReclaimNet: Reclaim-Aware Network Protocols for Voluntary GPU Sharing on Campus
Wenyang Jia, Jingjing Wang, Xianneng Zou +1
University campuses host abundant but fragmented GPU resources whose voluntary sharing is blocked by a mismatch between revocable, autonomous ownership and migration mechanisms tha…
EnvelopeTC: Hierarchical Intra-Path Learning for Adaptive Traffic Control
Wenyang Jia, Jingjing Wang, Ziwei Yan +3
Software defined networks offer global visibility, yet centralized control loops are too slow for transient congestion and bursty traffic dynamics. Existing learned traffic control…
OpenCLAW-Nexus: A Self-Reinforcing Trust Framework for Byzantine-Resilient Decentralized Federated Learning
Wenyang Jia, Qiankang Xu, Ziwei Yan +4
Decentralized Federated Learning (DFL) eliminates the central aggregator but introduces a severe 'trust gap': without a trusted coordinator, the system becomes vulnerable to Byzant…
EdgePoW: Adaptive Ingress-Aware Defense with Non-Interactive PoW Against Volumetric SYN Floods
Wenyang Jia, Jingjing Wang, Xianneng Zou +1
The stability of Internet services is persistently challenged by large volumetric TCP SYN floods, for which conventional defenses such as SYN Cookies preserve server state but stil…
Mamba4Net: Distilled Hybrid Mamba Large Language Models For Networking
Linhan Xia, Mingzhan Yang, Jingjing Wang +4
Transformer-based large language models (LLMs) are increasingly being adopted in networking research to address domain-specific challenges. However, their quadratic time complexity…
PolyBERT: Fine-Tuned Poly Encoder BERT-Based Model for Word Sense Disambiguation
Linhan Xia, Mingzhan Yang, Guohui Yuan +4
Mainstream Word Sense Disambiguation (WSD) approaches have employed BERT to extract semantics from both context and definitions of senses to determine the most suitable sense of a…