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Yan Li
School of Cyberspace Science and Technology
h-index
263
Citations
10
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2017
2024
Research activity per year
Overview
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Research output
(32)
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(1)
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Dive into the research topics where Yan Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Computer Science
Adversarial Machine Learning
15%
Attack Analysis
30%
Autoencoder Layer
15%
Clustering Method
15%
Data Stream
15%
Deep Neural Network
30%
Dictionary Learning
15%
Discriminator
15%
Distributed Databases
15%
Embedding Space
25%
Experimental Result
80%
Face Recognition
30%
Feature Extraction
30%
Few-Shot Learning
51%
Global Optimality
15%
Image Frequency
20%
Instance Level
15%
Layer Neural Network
15%
Learning Algorithm
15%
Learning Framework
41%
Learning Problem
15%
Learning Process
15%
Linear Discriminant Analysis
15%
Machine Learning
25%
Markov Decision Process
15%
multi agent
15%
Network Structures
15%
Neural Architecture Search
15%
Neural Network
20%
Noise-to-Signal Ratio
41%
Objective Function
20%
Online Network
15%
Optimization Strategy
20%
Pattern Recognition
15%
Pose Variation
15%
Random Walk
15%
Real Application
15%
Recognition Performance
15%
Reconnaissance
41%
Regularization
15%
Relevance Ranking
15%
Semisupervised Learning
15%
Signal Modulation
46%
Sketching Method
15%
Superior Performance
15%
Supervised Learning
21%
Supervised Method
15%
Training Data
28%
Training Image
15%
Unlabeled Sample
20%
Engineering
Adaptive Method
15%
Adaptive Strategy
15%
Base System
5%
Boundary Detection
7%
Cognitive Radar
30%
Complex Networks
15%
Convolutional Neural Network
10%
Cooperative
12%
Countermeasures
5%
Deep Neural Network
15%
Discrepancy Measure
7%
Energy Distribution
5%
Experimental Result
29%
Feature Extraction
20%
Filtration
8%
Frequency Analysis
5%
Generative Model
7%
Image Frequency
25%
Joints (Structural Components)
30%
Knowledge Base
12%
Long Short-Term Memory
5%
Loss Function
21%
Markov Decision Process
7%
Maximum Likelihood
15%
Measurement Noise
7%
Mode Signal
7%
Multifunction Radar
100%
Observation Window
15%
Parameter Estimation
15%
Power Control
15%
Pulse Repetition Interval
19%
Radar Countermeasures
38%
Radar Mode
15%
Radar Signal
66%
Radar Systems
10%
Radar Target
15%
Radar Waveform
20%
Recognition Accuracy
5%
Reconnaissance
25%
Reinforcement Learning
30%
Signal Data
7%
Signal Modulation
20%
Signal Quality
7%
Signal Sample
39%
Signal-to-Noise Ratio
14%
Simulation Result
26%
Supports
10%
Surrounding Environment
6%
Target Tracking
15%
Tasks
49%