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Jia Wu
Associate Professor, Dr
Associate Professor
,
School of Computing
Data Horizons Research Centre
Future Communications Research Centre
Centre for Applied Artificial Intelligence
Hearing Research Centre
https://orcid.org/0000-0002-1371-5801
Phone
+61 2 9850 9540
Email
jia.wu
mq.edu
au
h-index
9501
Citations
51
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2008
2025
Research activity per year
Overview
Fingerprint
Network
Projects
(12)
Research Outputs
(336)
Prizes
(4)
Similar Profiles
(6)
Fingerprint
Dive into the research topics where Jia Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Engineering & Materials Science
Neural networks
100%
Experiments
86%
Labels
66%
Deep learning
51%
Time series
46%
Recommender systems
43%
Semantics
41%
Anomaly detection
40%
Graph structures
40%
Classifiers
34%
Brain
32%
Electroencephalography
28%
Machine learning
25%
Deep neural networks
25%
Sampling
23%
Learning algorithms
23%
Feature extraction
23%
Crowdsourcing
22%
Decision trees
22%
Factorization
22%
Immune system
21%
Camouflage
19%
Agglomeration
19%
Tensors
19%
Problem-Based Learning
17%
Topology
17%
Redundancy
16%
Electric network analysis
15%
Labeling
15%
Set theory
15%
Internet of things
14%
Detectors
14%
Electric fuses
14%
Convolution
14%
Evolutionary algorithms
13%
Data mining
12%
Ablation
12%
Data storage equipment
12%
Marketing
12%
Uncertainty
12%
Bayesian networks
11%
Data streams
11%
Uranium
11%
Convolutional neural networks
11%
Smart city
11%
Entropy
10%
Transfer learning
10%
Industry
10%
Decomposition
9%
Mathematics
Learning
49%
Social Networks
21%
Clustering
18%
Anomaly Detection
18%
Recommendations
17%
Recommender Systems
17%
Graph in graph theory
16%
Prediction
16%
Mining
16%
Electroencephalogram (EEG)
15%
Extreme Learning Machine
14%
Task Graph
13%
Performance
13%
Electronic Commerce
13%
Community Detection
12%
Neural Networks
12%
Attribute
11%
Classifier
11%
Naive Bayes
11%
Experimental Results
11%
Model
10%
Boosting
10%
Knowledge
10%
Experiment
9%
Bayesian Networks
9%
Internet of Things
9%
Subgraph
9%
Demonstrate
8%
Brain
8%
Reinforcement Learning
8%
Vehicular Ad Hoc Networks
8%
Feature Weighting
7%
Community
7%
Semantic Similarity
7%
Regularization
7%
Weighting
7%
Event Detection
7%
Recommendation System
6%
Frequent Pattern
6%
Social Influence
6%
Similarity
6%
Training
6%
Dispatching
6%
Fusion
6%
Tensor
6%
Evolutionary multiobjective Optimization
6%
Supervised Learning
6%
Meta-learning
6%
Convex Games
6%
Business & Economics
Graph
35%
Event Detection
27%
Neural Networks
21%
Prediction
17%
Social Networks
14%
Transfer Learning
12%
Node
11%
Fraud Detection
10%
Deep Learning
10%
Crowdsourcing
9%
Experiment
8%
Summarization
7%
Matrix Factorization
7%
Social Media
7%
Regularization
7%
Vehicle Dispatching
7%
Semi-supervised Learning
7%
Sentiment Classification
6%
Traffic Flow
6%
Feature Selection
6%
Hypergraph
6%
Decision Tree
6%
Data Augmentation
6%
Local Influence
5%
Workers
5%
Reinforcement Learning
5%
Performance
5%
Dempster-Shafer Theory
5%
Information Entropy
5%
Recommender Systems
5%
Missing Data
5%
