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Renchi YANG, Prof
Assistant Professor
,
Department of Computer Science
https://orcid.org/0000-0002-7284-3096
Email
renchi
hkbu.edu
hk
2017
2027
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(5)
Research Output
(47)
Prizes / Awards
(2)
Similar Scholars
(3)
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Dive into the research topics where Renchi YANG 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
Random Walk
100%
Clustering Quality
73%
Node Classification
66%
Graph Neural Network
66%
Bipartite Graph
65%
Clustering Graph
45%
Machine Learning
43%
Learning System
43%
Social Network
41%
Link Prediction
41%
Approximation (Algorithm)
38%
Representation Learning
36%
Parallelization
34%
Graph Representation Learning
33%
Multicore
32%
Large Language Model
32%
Message Passing
32%
Optimization Problem
27%
Efficient Algorithm
27%
Topology Graph
25%
Optimization Task
21%
Data Management
21%
Graphics Processing Unit
21%
Graph Traversal
20%
Data Structure
19%
Superior Performance
19%
Attribute Data
17%
spam
17%
Computational Time
16%
Query Processing
16%
Time Complexity
16%
Fraudulent Transaction
16%
Social Network Analysis
16%
Attribute Information
16%
Computational Cost
15%
Clustering Algorithm
14%
Directed Graph
14%
Community Detection
14%
Information Retrieval
13%
Contrastive Learning
13%
World Wide Web Search
12%
Data Model
12%
Heterogeneous Graph
12%
Recommender System
12%
World Application
11%
Subgraphs
11%
Matrix Operation
11%
Relative Error
10%
Effective Resistance
10%
Computation Cost
10%
Keyphrases
Large Graphs
80%
Attributed Graph
62%
Graph Neural Network
58%
Order of Magnitude
57%
Personalized PageRank
56%
Bipartite Graph
52%
Graph Clustering
41%
Node Classification
38%
Attributed Network Embedding
32%
Graph Structure
30%
Benchmark Dataset
29%
Graph Representation Learning
27%
Cluster Quality
23%
High Efficiency
22%
Random Walk
22%
Effective Edge
21%
K-nearest
21%
Hypergraph
21%
Network Embedding
21%
Local Clustering
21%
Large Language Models
21%
PageRank
20%
Node Representation
18%
Node Attributes
18%
Social Networks
17%
Feature Aggregation
17%
Graph Topology
17%
Edge Representation
16%
Attributed Networks
16%
SimRank
16%
Algorithm Design
16%
Superior Performance
15%
Accuracy Guarantee
14%
Graph Datasets
14%
Representation Learning
14%
Link Prediction
13%
Efficient Solvers
13%
Disjoint
13%
Attributed Graph Clustering
13%
Cluster-based
13%
Message Passing
13%
Data Management
13%
Social Community
13%
Signed Graph
13%
Local Graph Clustering
12%
Index-free
12%
Random Walk Model
12%
Graph-based
11%
Approximation Guarantee
11%
Asymptotic Performance
11%
