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Yan Zhao Teaching Portfolio
Yan Zhao
Lektor
,
Institut for Datalogi
Lektor
,
Det Tekniske Fakultet for IT og Design
Lektor
,
Data Engineering, Science and Systems
E-mail
yanz
cs.aau
dk
Selma Lagerløfs Vej 300
,
3-2-38
9220
Aalborg Ø
Danmark
2020
2024
Publikationer pr. år
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Netværk
Publikationer
(53)
Lignende profiler
(6)
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Dyk ned i forskningsemnerne, hvor Yan Zhao er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
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Vægt
Alfabetisk
Computer Science
Anomaly Detection
100%
Autoencoder
98%
Social Network
88%
Mobile Device
83%
Attention (Machine Learning)
80%
Preference Learning
80%
Assignment Problem
80%
Smart Device
75%
Greedy Algorithm
75%
Phase Framework
70%
Historical Data
61%
Neural Network
60%
Graph Neural Network
60%
Deep Learning Model
60%
Outlier Detection
60%
wireless communication technology
53%
Computational Efficiency
53%
Multivariate Time Series
50%
Detailed Insight
50%
Speed-up
46%
Crowdsourcing Platform
45%
Trajectory Data
45%
Tree Decomposition
41%
Graph Convolutional Network
40%
Long Short-Term Memory Network
40%
Optimization Algorithm
40%
Temporal Convolutional Network
40%
Feature Extraction
40%
Temporal Correlation
40%
Storage Overhead
40%
Compression Scheme
40%
Mutual Information
40%
Cost Estimation
40%
Constrained Device
40%
Temporal Feature
40%
Nash Equilibrium
40%
Traffic Management
40%
Cardinality
36%
Device Communication
34%
Time Series Data
32%
Mobile Network
30%
Optimization Strategy
30%
Recommender Systems
26%
Self-Attention Mechanism
26%
Wireless Networks
25%
Detect Anomaly
25%
Complex Task
25%
Bipartite Graph
25%
Deep Learning
25%
Temporal Behavior
24%
Keyphrases
Task Assignment
60%
Spatial Crowdsourcing
60%
Task Influence
40%
Autoencoder
23%
Convolution Layer
20%
Knowledge Recommendation
20%
Next Point-of-interest Recommendation
20%
High-order Feature Interactions
20%
Advertising Recommendation
20%
Spatial-aware
20%
Trajectory Recovery
20%
Embedded Module
20%
Hybrid Reasoning
20%
Temporal Recommendation
20%
Group Task Assignment
20%
Correlated Time Series
20%
Membership Testing
20%
Learned Bloom Filter
20%
Multi-key
20%
Pseudo Label
20%
Mixture-of-experts
20%
Time Series Anomaly Detection
20%
Trajectory-User Linking
20%
Employee Churn
20%
Contrastive Learning
20%
Preference-aware
20%
Crowdsourcing Games
20%
Adaptive Tasks
20%
Fairness-aware
20%
Multimodal Knowledge Graph
20%
Outlier Detection
20%
Organic Field-effect Transistors
20%
Intramolecular Cyclization
20%
Trajectory Similarity Computation
20%
Anomaly Interpretation
20%
Time Series Forecasting
20%
Preference Learning
20%
Lightweight Framework
20%
Spatial Operators
16%
Malicious Actor
15%
Grid Embedding
15%
Influence Spread
15%
Incomplete Trajectories
13%
Automation Techniques
13%
Assigned Task
13%
Explainability
11%
Implementation Standard
10%
Span Prediction
10%
Query Context
10%
Trajectory Fusion
10%
