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Renjie WAN, Dr
Assistant Professor
,
Department of Computer Science
https://orcid.org/0000-0002-0161-0367
Email
renjiewan
hkbu.edu
hk
Accepting PhD Students
2018
2024
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(6)
Research Output
(27)
Prizes / Awards
(1)
Press/Media
(2)
Similar Scholars
(6)
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Dive into the research topics where Renjie WAN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Weight
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Engineering & Materials Science
Deep neural networks
100%
Image enhancement
97%
Color
70%
Deep learning
69%
Glass
61%
Infrared radiation
59%
Image classification
54%
Luminance
54%
Experiments
53%
Lighting
53%
Camera lenses
49%
Recovery
46%
Visibility
42%
Medical imaging
39%
Watermarking
38%
Pixels
37%
Benchmarking
35%
Multilayer neural networks
35%
Lenses
34%
Multilayers
33%
Genes
32%
Scattering
32%
Artificial intelligence
30%
Decoding
29%
Labels
29%
Mobile computing
29%
Fusion reactions
27%
Computer vision
26%
Neural networks
26%
Plastics
25%
Cameras
24%
Image processing
24%
Uncertainty
21%
Photons
20%
Labeled data
20%
Imaging techniques
19%
Gaussian distribution
19%
Water
18%
Image resolution
18%
Forensic science
18%
Object recognition
17%
Feature extraction
17%
Histology
16%
Tomography
16%
Testing
16%
Image reconstruction
15%
Face recognition
15%
Digital forensics
15%
Classifiers
13%
Assays
13%
Mathematics
Benchmarking
48%
Training
43%
Multilayer
42%
Vision
42%
Alignment
39%
Framework
39%
Gene
33%
Learning
32%
Aliasing
22%
Experiment
16%
Glass
16%
Sharing
16%
Genomics
16%
Gradient
15%
Patch
14%
Benchmark
13%
Relevance
13%
Scenarios
12%
Histology
11%
High Resolution
10%
Pattern Formation
10%
Network Architecture
10%
Ill-posedness
10%
Feature Extraction
10%
Multimodality
10%
Multilayer Perceptron
10%
Higher Order
9%
Strategy
9%
Masking
9%
Feature Space
9%
Instant
9%
Encoder
9%
Frequency Domain
9%
Taxonomy
8%
Modeling
8%
Mask
8%
Gene Expression
8%
Gold
8%
Computer Vision
8%
Tuning
8%
Modality
8%
Baseline
7%
Medicine
7%
Fusion
7%
Tumor
7%
Cancer
7%
Subsequence
6%
Experimental Results
6%
Paradigm
6%
Update
6%
