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Ke Yan
School of Computer Science and Technology
h-index
1935
Citations
23
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2014
2024
Research activity per year
Overview
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Research output
(48)
Similar Profiles
(1)
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Dive into the research topics where Ke Yan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Computer Science
Art Performance
19%
Classifier
11%
Computational Method
12%
Computer Vision
20%
Constraint Graph
20%
Convolutional Neural Network
22%
de-noising
16%
Deep Convolutional Neural Networks
19%
Deep Learning
27%
Deep Transfer Learning
16%
Discriminative Feature
18%
Ensemble Learning
16%
Ensemble Method
16%
Experimental Result
84%
Face Recognition
33%
Feature Dimension
16%
Feature Extraction
8%
Functional Representation
11%
Hashing
33%
Hashing Method
16%
Image Retrieval
16%
Image Search
20%
Image Sequence
16%
Instance Level
16%
Interpretability
16%
Learning Framework
25%
Local Structure
16%
Machine Learning
18%
Missing Information
16%
Multi View Clustering
33%
multi-objective evolutionary algorithm
16%
Multi-View Learning
16%
Multitask Learning
16%
Network Structures
11%
Neural Architecture Search
16%
palmprint
16%
Person Re-Identification
16%
Prediction Accuracy
16%
Prediction Model
16%
Prediction Performance
16%
Predictive Performance
20%
Regularization Term
16%
Representation Learning
11%
Representation Method
16%
Scale-Invariant Feature Transform
16%
Shared Information
8%
Sparse Representation
66%
Support Vector Machine
20%
Training Sample
23%
Wavelet Transforms
16%
Biochemistry, Genetics and Molecular Biology
Antimicrobial Peptides
33%
Artificial Neural Network
5%
Binding Protein
16%
Biological Functions
10%
DNA Binding
16%
DNA Template
49%
DNA-binding Protein
16%
Extract
55%
Gene Expression
5%
Genetic Algorithm
16%
Immunoregulation
16%
Information Retrieval
11%
Intrinsically Disordered Protein
16%
Language Processing
5%
MicroRNA
16%
Natural Language Processing
16%
Network Learning
16%
Nucleic Acid Binding
18%
Origin of Replication
16%
Peptide Sequence
60%
Protein Data Bank
16%
Protein Folds
100%
Protein Motif
8%
Protein Structure
63%
Protein Structure Prediction
8%
Random Forest
16%
RNA Binding
33%
RNA-binding Protein
20%
Sequence Homology
9%
Short Term Memory
8%
Structural Motif
16%
Subcellular Localization
16%
Support Vector Machine
50%
Engineering
Artificial Neural Network
8%
Computational Efficiency
5%
Computervision
5%
Convolutional Neural Network
33%
Deep Learning
16%
Electronic Nose
5%
Energy Constraint
16%
Energy Engineering
5%
Experimental Result
48%
Extracted Feature
5%
Feature Extraction
25%
Function Analysis
16%
Image Processing
8%
Long Short-Term Memory
16%
Machine Learning Method
16%
Machine Learning Technique
8%
Main Reason
16%
Multi View Clustering
16%
Multiobjective Genetic Algorithm
16%
Noisy Data
5%
Orthogonal Matching Pursuit
16%
Orthogonal Matrix
5%
Performance Improvement
8%
Pursuit Algorithm
8%
Rank Tensor
16%
Real Life
8%
Recognition Accuracy
8%
Recognition Problem
8%
Sample Structure
8%
Scale Image
5%
Search Algorithm
16%
State-of-the-Art Method
8%
Support Vector Machine
8%
Test Sample
25%