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Network Intelligence Research Center (NIRC)
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Network Intelligence Research Center (NIRC)

NIRC is based on the National Key Laboratory of Network and Switching Technology at Beijing University of Posts and Telecommunications. It has built a technology matrix across four AI domains—intelligent cloud networking, natural language processing, computer vision, and machine learning systems—dedicated to solving real‑world problems, creating top‑tier systems, publishing high‑impact papers, and contributing significantly to the rapid advancement of China's network technology.

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Recent Articles

Latest from Network Intelligence Research Center (NIRC)

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Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 19, 2023 · Artificial Intelligence

Detecting Time‑Series Anomalies with the Anomaly Transformer’s Association Discrepancy

The article explains how the Anomaly Transformer leverages prior‑ and series‑association discrepancies, a learnable Gaussian kernel, and a Minimax training strategy to distinguish normal from abnormal points in time‑series data, achieving state‑of‑the‑art results on five benchmark datasets.

Anomaly DetectionAssociation DiscrepancyMinimax Training
0 likes · 6 min read
Detecting Time‑Series Anomalies with the Anomaly Transformer’s Association Discrepancy
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 15, 2023 · Artificial Intelligence

Neural Networks for Rapid Network Configuration: A Concise Overview

The article presents a neural‑algorithmic reasoning approach that replaces slow SMT‑based network configuration tools with a graph‑neural‑network model, describing dataset creation, model architecture, and experiments that show 20‑to‑490× speedups while maintaining over 92% configuration consistency on large topologies.

Graph Neural NetworkNetwork ConfigurationNetwork Synthesis
0 likes · 5 min read
Neural Networks for Rapid Network Configuration: A Concise Overview
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 1, 2023 · Artificial Intelligence

OpenCV-Based Finger Vein Image Matching: Techniques and Workflow

This article explains the principles of first‑generation biometrics, introduces finger‑vein recognition as a more secure alternative, and details a complete OpenCV workflow—including Gaussian smoothing, histogram equalization, edge detection, SIFT feature extraction, and knnMatch—to preprocess and match finger‑vein images.

BiometricsEdge DetectionFinger Vein Recognition
0 likes · 11 min read
OpenCV-Based Finger Vein Image Matching: Techniques and Workflow
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 29, 2023 · Artificial Intelligence

Getting Started with GPT: How Generative Pre‑Training and Discriminative Fine‑Tuning Work

This article explains GPT's two‑stage learning—unsupervised generative pre‑training on large raw corpora followed by discriminative fine‑tuning on labeled tasks—detailing the underlying Transformer decoder architecture, loss functions, and task‑specific input transformations.

GPTGenerative Pre‑TrainingNLP
0 likes · 5 min read
Getting Started with GPT: How Generative Pre‑Training and Discriminative Fine‑Tuning Work
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 24, 2023 · Artificial Intelligence

NetShare: An End-to-End System for GAN-Based IP Header Trace Packet Generation

This article presents NetShare, an end-to-end framework that uses time‑series GANs combined with domain‑specific encoding to synthesize privacy‑preserving IP header and flow traces, achieving up to 46% higher accuracy than prior generative baselines while improving the fidelity‑privacy trade‑off.

GaNIP Header TracingMachine Learning
0 likes · 7 min read
NetShare: An End-to-End System for GAN-Based IP Header Trace Packet Generation
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 19, 2023 · Industry Insights

Exploring the Foundations and Challenges of Vehicle Networking

Vehicle networking transforms modern cars into complex, software‑driven systems that communicate via wireless links, and this article outlines its background, key research problems such as sensing, communication, decision‑making, the role of blockchain for security and transactions, platoon control, and digital twin applications for resource allocation.

Digital TwinInternet of VehiclesIoT
0 likes · 8 min read
Exploring the Foundations and Challenges of Vehicle Networking
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 9, 2023 · Databases

Exploring Nebula Graph: Building Powerful Graph Database Applications

Nebula Graph is an open‑source distributed graph database that handles billions of vertices and trillions of edges with high throughput and low latency, offering a three‑service architecture, nGQL query language, installation guides, and real‑world use cases such as fraud detection, recommendation, knowledge graphs, and social networks.

Distributed ArchitectureNebula Graphgraph database
0 likes · 7 min read
Exploring Nebula Graph: Building Powerful Graph Database Applications
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jul 4, 2023 · Artificial Intelligence

FedMRL: Federated Meta Reinforcement Learning for Cold-Start Slice Resource Management

FedMRL tackles the cold‑start problem of network‑slice resource orchestration by combining federated learning with meta‑reinforcement learning, using a two‑loop training process that preserves SP data privacy and consistently outperforms TUNE, TDSC, and IOSP across diverse 6G network conditions.

6GMAMLMeta Reinforcement Learning
0 likes · 6 min read
FedMRL: Federated Meta Reinforcement Learning for Cold-Start Slice Resource Management