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Ping Li
Assistant Professor
,
Faculty of Computer and Mathematical Sciences
,
Department of Computing
https://orcid.org/0000-0002-1503-0240
Phone
27667277
Email
p.li
polyu.edu
hk
h-index
3502
Citations
33
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2009
2022
Research activity per year
Overview
Fingerprint
Network
Research output
(159)
Prizes
(6)
Activities
(47)
Press/Media
(1)
Similar Profiles
(6)
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.
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Weight
Alphabetically
Computer Science
Attention (Machine Learning)
11%
Augmented Reality
15%
Boolean Operation
9%
Broad Learning System
38%
Computer Vision
11%
Conventional Method
11%
Convolutional Neural Network
84%
Decision Support System
20%
Deep Convolutional Neural Networks
16%
Deep Feature
9%
Deep Learning Method
23%
Deep Neural Network
19%
Diagnostic System
9%
Experimental Result
100%
Extracted Feature
8%
Feature Extraction
22%
Feature Fusion
18%
Feature Map
11%
Generative Adversarial Networks
23%
Graphics Processing Unit
45%
High Availability
9%
High Dynamic Range Image
9%
Image Dehazing
23%
Image Processing
11%
Image Restoration
10%
Image Segmentation
31%
Interior Design
11%
Invasive Surgery
9%
Learning System
9%
Least Squares Methods
14%
Neural Network
18%
Object Recognition
9%
Objective Function
9%
Photorealistic Rendering
9%
Pose Estimation
23%
Real Time Performance
9%
Reference Image
9%
RGB Image
9%
Saliency Detection
9%
Scale-Invariant Feature Transform
11%
Smart Grid
14%
Subnetwork
11%
super resolution
18%
Superpixel
9%
Support Vector Machine
15%
Traditional Method
12%
Vessel Segmentation
18%
Virtual Reality
21%
Visual Quality
10%
Volumetric Data
9%
Keyphrases
3D Head
10%
3D Model
10%
Augmented Reality
10%
Blood Vessels
11%
Broad Learning System
21%
Choroid Layer
14%
Coarse-to-fine
10%
Computed Tomography Images
14%
Convolutional Neural Network
28%
Deblurring
13%
Deep Convolutional Neural Network (deep CNN)
11%
Deep Learning
16%
Deep Neural Network
12%
Depth Image
12%
Depth Map
13%
Diabetic Retinopathy
10%
Diabetic Retinopathy Screening
10%
Feature Extraction
11%
Feature Fusion
14%
Flickering
10%
Fundus Image
12%
Generative Adversarial Networks
15%
Glaucoma
10%
Graphics Processing Unit
14%
High Dynamic Range Imaging
10%
Image Dehazing
19%
Image Segmentation
11%
Image-based
11%
Interior Design
11%
Layer Segmentation
14%
Liver
18%
Lung Cancer Screening
11%
Motion Deblurring
18%
Network Applications
14%
Optic Disc
13%
Pencil Drawing
14%
Radiologists
10%
Retexturing
16%
RGB-D
15%
Saliency Detection
11%
Segmentation-based
17%
Semantic Segmentation
10%
State-of-the-art Techniques
32%
Structure-aware
12%
Stylization
14%
Systems-based
10%
Temporal Coherence
11%
Temporal Consistency
14%
Training Data
11%
Virtual Reality
19%
