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Ping Li
Assistant Professor
,
Department of Computing
https://orcid.org/0000-0002-1503-0240
Phone
27667277
Email
p.li
polyu.edu
hk
h-index
4996
Citations
38
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2009
2025
Research activity per year
Overview
Fingerprint
Network
Research output
(165)
Prizes
(6)
Activities
(47)
Similar Profiles
(2)
Fingerprint
Dive into the research topics where Ping Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Experimental Result
100%
Convolutional Neural Network
78%
Graphics Processing Unit
42%
Broad Learning System
35%
Image Segmentation
29%
Image Dehazing
22%
Generative Adversarial Networks
22%
Deep Learning Method
21%
Feature Extraction
21%
Virtual Reality
19%
Neural Network
19%
Decision Support System
19%
Deep Neural Network
18%
Pose Estimation
17%
super resolution
17%
Vessel Segmentation
17%
Feature Fusion
16%
Deep Convolutional Neural Networks
15%
Augmented Reality
14%
Support Vector Machine
14%
Least Squares Methods
13%
Smart Grid
13%
Ergonomics
11%
Traditional Method
11%
Conventional Method
11%
Subnetwork
10%
Computer Vision
10%
Interior Design
10%
Image Processing
10%
Scale-Invariant Feature Transform
10%
Feature Map
10%
Evaluation Result
10%
Customisation
10%
Visual Quality
9%
Processing Method
9%
Attention (Machine Learning)
9%
Image Restoration
9%
Data Augmentation
9%
Invasive Surgery
8%
Superpixel
8%
High Availability
8%
Deep Feature
8%
Objective Function
8%
Diagnostic System
8%
Photorealistic Rendering
8%
Object Recognition
8%
Saliency Detection
8%
High Dynamic Range Image
8%
Boolean Operation
8%
Real Time Performance
8%
Keyphrases
State-of-the-art Techniques
30%
Convolutional Neural Network
26%
Broad Learning System
20%
Virtual Reality
18%
Image Dehazing
18%
Motion Deblurring
17%
Liver
17%
Segmentation-based
16%
Retexturing
15%
Deep Learning
15%
RGB-D
14%
Generative Adversarial Networks
14%
Layer Segmentation
13%
Choroid Layer
13%
Graphics Processing Unit
13%
Temporal Consistency
13%
Pencil Drawing
13%
Computed Tomography Images
13%
Stylization
13%
Feature Fusion
13%
Network Applications
13%
Optic Disc
13%
Deblurring
12%
Depth Map
12%
Depth Image
12%
Fundus Image
12%
Structure-aware
11%
Deep Neural Network
11%
Interior Design
11%
Blood Vessels
10%
Deep Convolutional Neural Network (deep CNN)
10%
Temporal Coherence
10%
Training Data
10%
Feature Extraction
10%
Saliency Detection
10%
Image-based
10%
Image Segmentation
10%
Lung Cancer Screening
10%
3D Head
10%
Glaucoma
10%
Systems-based
10%
Augmented Reality
10%
High Dynamic Range Imaging
9%
3D Model
9%
Radiologists
9%
Diabetic Retinopathy Screening
9%
Flickering
9%
Semantic Segmentation
9%
Coarse-to-fine
9%
Diabetic Retinopathy
9%
