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Li Qing
Professor
School of Computer Science
h-index
483
Citations
12
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2018
2025
Research activity per year
Overview
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Research output
(46)
Similar Profiles
(3)
Fingerprint
Dive into the research topics where Qing 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
Attention (Machine Learning)
82%
Biased Random-Walks
38%
Biomedical Knowledge
38%
Contrastive Learning
38%
Convolutional Neural Network
38%
Data Record
38%
Deep Learning Method
50%
Dependency Graph
23%
Disease Progression
38%
Dynamic Random Access Memory
25%
Electronic Medical Record
57%
Embedded Device
38%
Embedding Method
19%
Entity Linking
38%
Experimental Result
100%
Feature Fusion
31%
Global Information
38%
Graph Contrastive Learning
38%
Graph Neural Network
63%
Graph Partition
38%
Graph Representation Learning
19%
Information Network
25%
Interpretability
57%
Knowledge Base
22%
Knowledge Graph
76%
Language Modeling
57%
Learning Framework
38%
Link Prediction
63%
Local Information
38%
Logical Reasoning
38%
Lstm
38%
Multi-Label Classification
38%
Named Entity Recognition
61%
Natural Language Processing
58%
Node Classification
25%
Object Detection
38%
Parsing
38%
Pre-Trained Language Models
93%
Prediction Model
38%
Prompt Tuning
38%
Reidentification
38%
Relationship Type
76%
Representation Model
38%
Semantic Feature
38%
Semantic Relation
47%
Service-Level Agreement
38%
Structured Query Language
85%
Subgraphs
45%
Temporal Knowledge Graph
76%
Timely Fashion
31%
Engineering
Acceleration Response
22%
Atomic Event
12%
Binary Tree
12%
Bridge Structure
19%
Cable Stayed Bridges
19%
Collected Data
19%
Component Analysis
19%
Continuous Beam
31%
Damage Assessment
19%
Damage Detection
19%
Damage Evolution Law
7%
Deep Learning Method
47%
Detection Procedure
9%
Detection Process
9%
Dilemma Game
38%
Electronic Medical Record
38%
False Alarm
60%
False Alarm Rate
19%
Flow Event
12%
Gaussians
12%
Health Monitoring System
60%
Hypothesis Test
12%
Impact Loads
7%
Likelihood Ratio
38%
Lstm
38%
Mathematical Model
17%
Mean Square Error
12%
Measured Data
44%
Measured Signal
19%
Micro Crack
30%
Microcrack
30%
Network Model
9%
Nuclear Magnetic Resonance
38%
Numerical Example
19%
Operational Condition
22%
Optimization Strategy
19%
Particle Flow Code
38%
Porosity
30%
Predicted Value
9%
Principal Component
19%
Relaxation Time
7%
Road
38%
Rock Mass Strength
7%
Rock Sample
15%
Sensing Mechanisms
9%
Sensor Network
12%
Steel Frame
9%
Structural Damage
57%
Structural Health Monitoring
50%
Uniaxial Compressive Strength
38%
