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Renjie WAN, Prof
Assistant Professor
,
Department of Computer Science
https://orcid.org/0000-0002-0161-0367
Email
renjiewan
hkbu.edu
hk
Accepting PhD Students
2016
2025
Research activity per year
Overview
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Network
Projects / Grants
(7)
Research Output
(42)
Prizes / Awards
(2)
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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Computer Science
3d Reconstruction
12%
Adversarial Machine Learning
18%
Aliasing
12%
Anti-Spoofing
12%
Art Performance
41%
Backdoors
37%
Benchmarking
12%
Capability Description
24%
Captured Image
53%
Classification Task
15%
Code Implementation
12%
Color Component
12%
Computer Vision Task
37%
Copyright Protection
15%
Data Synthesis
12%
Deep Feature
14%
Deep Neural Network
37%
Domain Feature
18%
Experimental Result
100%
Face Recognition
28%
Facial Feature
12%
Feature Extraction
16%
Generative Adversarial Networks
14%
Human Perception
18%
Image Artifact
24%
Image Enhancement
41%
Image Quality
16%
Image Restoration
24%
Integrate Content
12%
Light Transport
12%
Linear Dependency
12%
Medical Imaging
12%
Modern Medicine
12%
Neural Network
20%
Neural Radiance Field
86%
Ownership Information
12%
Progressive Refinement
12%
Regularization
12%
Representation Learning
18%
RGB Image
16%
Simultaneous Transmission
12%
Supervised Learning
12%
Training Dataset
12%
Training Image
12%
Training Pair
12%
Unified Framework
30%
Unsupervised Domain Adaptation
24%
Unsupervised Method
12%
Visual Quality
24%
Watermarking
37%
Keyphrases
Adversarial Training
16%
Asynchronous Events
12%
Backdoor Attack
24%
Bayesian Uncertainty
12%
Benchmark Dataset
29%
Collaborative Framework
14%
Computer Vision Tasks
22%
Copyright
27%
Copyright Protection
15%
Deep Neural Network
25%
Disentanglement
16%
Domain Generalization
14%
Encoder
14%
Feature Disentanglement
12%
Generalization Ability
18%
Gradient Information
16%
Image Artifacts
20%
Image Pair
14%
Implicit Solution
12%
In the Wild
16%
Invertible Neural Networks
12%
Learning-based
20%
Low-dose CT Reconstruction
12%
Low-light Image
43%
Low-light Image Enhancement
41%
Multi-layer Features
12%
Multi-scale Gradient
16%
Neural Radiance Field (NeRF)
70%
New Dataset
23%
Non-learning
16%
Normalizing Flows
12%
Radiance Fields
27%
Real Scene
22%
Reflection Image
19%
Reflection Removal
51%
Scene Recovery
24%
Scene Representation
12%
Single Image
20%
Single Image Reflection Removal
24%
Sparse Gradient
22%
Splatting
24%
State-of-the-art Techniques
38%
Target Domain
16%
Uncertainty Alignment
12%
Underwater Scene
12%
Unified Framework
19%
Unsupervised Domain Adaptation
24%
Visible Watermarking
13%
Visual Quality
16%
Watermarking
30%
