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Xiaoqing GUO, Prof
Assistant Professor
,
Department of Computer Science
https://orcid.org/0000-0002-9476-521X
Email
xiaoqingguo
hkbu.edu
hk
2019
2024
Research activity per year
Overview
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Network
Research Output
(37)
Fingerprint
Dive into the research topics where Xiaoqing GUO is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Computer Science
Image Segmentation
100%
Unsupervised Domain Adaptation
40%
Polyp Segmentation
37%
Segmentation Model
32%
Annotation
28%
Data Distribution
26%
Domain Adaptation
25%
Level Adaptation
25%
Regularization
23%
Training Sample
20%
Generalization Ability
19%
Segmentation Task
18%
Feature Map
17%
Representation Learning
16%
Fully Connected Layer
16%
Image Classification
16%
Decision Boundary
16%
Transition Matrix
13%
Target Recognition
12%
Reconstruction Error
12%
Instance Level
12%
Generalized Few-shot Learning
12%
Tumor Segmentation
12%
Process Examination
12%
Common Knowledge
12%
Source-Free Domain Adaptation
12%
Dimensional Cross
12%
Common Diagnosis
12%
Base Class
12%
Discriminative Feature
12%
super resolution
12%
Network Segmentation
12%
Illumination Condition
12%
Selection Strategy
12%
Autonomous Driving
12%
Receptive Field
12%
Deep Learning Method
10%
Contrastive Learning
10%
Experimental Result
10%
Contrastive Loss
9%
Fourier Transform
9%
False Positive
8%
Simplex
8%
Few-Shot Learning
8%
Label Distribution
8%
Class Variance
8%
Semisupervised Learning
8%
Learning Scheme
7%
Deep Feature
7%
Unlabeled Data
7%
Keyphrases
Domain Adaptive Semantic Segmentation
25%
Simt
25%
Rare Disease Diagnosis
25%
Unsupervised Domain Adaptation
21%
Target Domain
14%
Open-set Object Detection
12%
Unsupervised Anomaly Segmentation
12%
Multi-rater
12%
High-speed Image
12%
Integrated Microwave Photonics
12%
Photonic Computing
12%
Microwave Photonics
12%
Gradient Guidance
12%
Single Domain Generalization
12%
Summary Generation
12%
Ultrasound Video
12%
Surgical Instruments
12%
Fetal Ultrasound
12%
Confidence-Aware
12%
Standard Plane
12%
Head Ultrasound
12%
Affinity Loss
12%
Loss Correction
12%
Automatic Scanning
12%
Attribute-guided
12%
Medical Image Diagnosis
12%
Tumor Region
12%
Disentanglement
12%
Brain Tumor Segmentation
12%
Few-shot
12%
Fourier
12%
Medical Image Segmentation
12%
Dynamic Features
12%
Missing Modalities
12%
Adaptive Segmentation
12%
Graph-based
12%
Common Knowledge
12%
Hierarchical Segmentation
12%
Network Adaptive
12%
Polyp Detection
12%
Overall Survival Prediction
12%
Manifold Mixup
12%
Adaptive Detection
12%
Adaptive Localization
12%
Adaptive Receptive Field
12%
Densely Connected Convolutional Networks
12%
Spatial Wavelet
12%
Melanoma Segmentation
12%
Complementary Network
12%
Adaptation
9%
