:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tian, Chang, Xing, Mingzhe, Shi, Zenglin, Blaschko, Matthew B., Yue, Yinliang, Moens, Marie-Francine
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Networking and Internet Architecture
Online Access:	https://arxiv.org/abs/2502.00612
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Role of Time Series Clustering in Traffic Matrix Prediction
by: Cash, Martha, et al.
Published: (2026)

Time-Series Foundation Models for ISP Traffic Forecasting
by: Liu, Fan, et al.
Published: (2025)

WT-CFormer: High-Performance Web Traffic Anomaly Detection Based on Spatiotemporal Analysis
by: He, Yundi, et al.
Published: (2024)

Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
by: Chen, Zihan, et al.
Published: (2025)

Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction
by: Ghadaksaz, MohammadMahdi, et al.
Published: (2026)

SNAKE: A Sustainable and Multi-functional Traffic Analysis System utilizing Specialized Large-Scale Models with a Mixture of Experts Architecture
by: Qin, Tian, et al.
Published: (2025)

MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
by: Zhang, Yujun, et al.
Published: (2025)

Predicting Parameter Change's Effect on Cellular Network Time Series
by: Li, Mingjie, et al.
Published: (2024)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
by: Rong, Yi, et al.
Published: (2024)

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning
by: Tian, Chang, et al.
Published: (2025)

A Generic Method for Fine-grained Category Discovery in Natural Language Texts
by: Tian, Chang, et al.
Published: (2024)

Distillation-Enhanced Clustering Acceleration for Encrypted Traffic Classification
by: Huang, Ziyue, et al.
Published: (2025)

FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering
by: Liu, Ximeng, et al.
Published: (2024)

DeeP-TE: Data-enabled Predictive Traffic Engineering
by: Yin, Zhun, et al.
Published: (2025)

Interpretable Nonroutine Network Traffic Prediction with a Case Study
by: Wang, Liangzhi, et al.
Published: (2024)

Rethinking Traffic Matrix Completion: Estimate the Process, Not the Entries
by: Liu, Xiyuan, et al.
Published: (2026)

Towards Memory-Efficient Traffic Policing in Time-Sensitive Networking
by: Jiang, Xuyan, et al.
Published: (2024)

Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection
by: Zhang, Han, et al.
Published: (2025)

Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN
by: Habib, Md Arafat, et al.
Published: (2024)

Advancements in Traffic Processing Using Programmable Hardware Flow Offload
by: Deri, Luca, et al.
Published: (2024)

Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation
by: Qi, Xiaoqian, et al.
Published: (2026)

GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
by: Li, Ziyi, et al.
Published: (2026)

Combining Static and Dynamic Traffic with Delay Guarantees in Time-Sensitive Networking
by: Maile, Lisa, et al.
Published: (2025)

State Aware Traffic Generation for Real-Time Network Digital Twins
by: Koktas, Enes, et al.
Published: (2025)

PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
by: Qin, Tian, et al.
Published: (2025)

Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness
by: Wu, Shaofeng, et al.
Published: (2024)

Network Traffic Classification Using Self-Supervised Learning and Confident Learning
by: Eslami, Ehsan, et al.
Published: (2025)

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning
by: Razooqi, Yasameen Sajid, et al.
Published: (2025)

Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
by: Pekar, Adrian, et al.
Published: (2026)

Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
by: Debnath, Rubi, et al.
Published: (2025)

Enhancing 5G V2X Mode 2 for Sporadic Traffic
by: Bankov, Dmitry, et al.
Published: (2025)

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs
by: Iqbal, Umer, et al.
Published: (2026)

Cloudy with a Chance of Green: Measuring the Predictability of 18,009 Traffic Lights in Hamburg
by: Jeschor, Daniel, et al.
Published: (2024)

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation
by: Panda, Saroj Kumar, et al.
Published: (2025)

Early-Stage IoT Device Identification Using Passive Network Traffic Analysis
by: Ciechonski, Alex, et al.
Published: (2026)

A Robust Scheduling of Cyclic Traffic for Integrated Wired and Wireless Time-Sensitive Networks
by: Kaynak, Özgür Ozan, et al.
Published: (2025)

Agentic Open RAN: A Deterministic and Auditable Framework for Intent-Driven Radio Control
by: Li, Hengxu, et al.
Published: (2026)

Arterial Network Traffic State Prediction with Connected Vehicle Data: An Abnormality-Aware Spatiotemporal Network
by: Han, Lei, et al.
Published: (2026)

Saving Private WAN: Using Internet Paths to Offload WAN Traffic in Conferencing Services
by: Kataria, Bhaskar, et al.
Published: (2024)

Network Calculus Characterization of Congestion Control for Time-Varying Traffic
by: Lehal, Harvinder, et al.
Published: (2024)