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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)
Oct 23, 2023 · Artificial Intelligence

How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection

The article reviews the CVPR 2021 MIST framework, explaining how a multiple‑instance pseudo‑label generator and a self‑guided attention encoder work together with sparse continuous sampling to improve context awareness and detection accuracy in weakly‑supervised video anomaly detection.

Attention EncoderComputer VisionMultiple Instance Learning
0 likes · 9 min read
How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Oct 11, 2023 · Cloud Native

How XDP Is Redefining Network Performance Beyond Traditional Stacks

This article examines XDP (eXpress Data Path), a Linux kernel eBPF‑based technology that pushes packet processing to the earliest point in the network interface, delivering ultra‑low latency, enhanced security, and flexible custom processing for high‑performance routing, DDoS mitigation, and cloud environments.

Linux kernelXDPcloud native
0 likes · 5 min read
How XDP Is Redefining Network Performance Beyond Traditional Stacks
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Sep 21, 2023 · Artificial Intelligence

RVM: Real-Time High-Resolution Video Matting

The article reviews the paper "Robust High-Resolution Video Matting with Temporal Guidance", detailing a GRU‑based multi‑task network that achieves real‑time performance on 4K (76 FPS) and 1080p (104 FPS) video by leveraging temporal information and semantic segmentation.

GRUMobileNetV3high-resolution
0 likes · 5 min read
RVM: Real-Time High-Resolution Video Matting
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 30, 2023 · Artificial Intelligence

DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility

DeepQueueNet combines discrete‑event and continuous simulation with deep neural networks to deliver highly accurate, generalizable, and GPU‑scalable network performance estimates at packet‑level granularity, outperforming existing DNN‑based estimators across diverse topologies and traffic scenarios.

DESDNNDeepQueueNet
0 likes · 5 min read
DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility
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.

Association DiscrepancyMinimax TrainingSOTA
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