Skip to main navigation
Skip to search
Skip to main content
Beijing Institute of Technology Home
English
中文
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
View Scopus Profile
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
Fingerprint
Network
Research output
(32)
Similar Profiles
(1)
Fingerprint
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.
Sort by
Weight
Alphabetically
Computer Science
Experimental Result
80%
Few-Shot Learning
51%
Signal Modulation
46%
Noise-to-Signal Ratio
41%
Learning Framework
41%
Reconnaissance
41%
Feature Extraction
30%
Face Recognition
30%
Deep Neural Network
30%
Attack Analysis
30%
Training Data
28%
Embedding Space
25%
Machine Learning
25%
Supervised Learning
21%
Optimization Strategy
20%
Neural Network
20%
Unlabeled Sample
20%
Image Frequency
20%
Objective Function
20%
Dictionary Learning
15%
Global Optimality
15%
Relevance Ranking
15%
Instance Level
15%
Network Structures
15%
Clustering Method
15%
Linear Discriminant Analysis
15%
Random Walk
15%
Neural Architecture Search
15%
Learning Process
15%
Online Network
15%
Pose Variation
15%
Data Stream
15%
Real Application
15%
Pattern Recognition
15%
Learning Problem
15%
Training Image
15%
Autoencoder Layer
15%
Distributed Databases
15%
Superior Performance
15%
multi agent
15%
Discriminator
15%
Recognition Performance
15%
Markov Decision Process
15%
Supervised Method
15%
Adversarial Machine Learning
15%
Layer Neural Network
15%
Semisupervised Learning
15%
Learning Algorithm
15%
Sketching Method
15%
Regularization
15%
Engineering
Multifunction Radar
100%
Radar Signal
66%
Tasks
49%
Signal Sample
39%
Radar Countermeasures
38%
Joints (Structural Components)
30%
Cognitive Radar
30%
Reinforcement Learning
30%
Experimental Result
29%
Simulation Result
26%
Image Frequency
25%
Reconnaissance
25%
Loss Function
21%
Feature Extraction
20%
Signal Modulation
20%
Radar Waveform
20%
Pulse Repetition Interval
19%
Radar Mode
15%
Maximum Likelihood
15%
Adaptive Strategy
15%
Deep Neural Network
15%
Target Tracking
15%
Observation Window
15%
Complex Networks
15%
Power Control
15%
Radar Target
15%
Parameter Estimation
15%
Adaptive Method
15%
Signal-to-Noise Ratio
14%
Cooperative
12%
Knowledge Base
12%
Supports
10%
Convolutional Neural Network
10%
Radar Systems
10%
Filtration
8%
Markov Decision Process
7%
Signal Quality
7%
Measurement Noise
7%
Boundary Detection
7%
Generative Model
7%
Mode Signal
7%
Signal Data
7%
Discrepancy Measure
7%
Surrounding Environment
6%
Frequency Analysis
5%
Recognition Accuracy
5%
Countermeasures
5%
Long Short-Term Memory
5%
Base System
5%
Energy Distribution
5%