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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
2025
Research activity per year
Overview
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Network
Projects / Grants
(3)
Research Output
(33)
Prizes / Awards
(2)
Similar Scholars
(4)
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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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Computer Science
Approximation (Algorithm)
30%
Attribute Data
17%
Attribute Information
12%
Bipartite Graph
54%
Clustering Algorithm
13%
Clustering Graph
32%
Clustering Quality
57%
Computation Cost
10%
Computational Cost
13%
Computational Time
16%
Data Management
21%
Data Structure
18%
Directed Graph
14%
Distance Measure
10%
Effective Index
10%
Effective Resistance
10%
Efficient Algorithm
24%
Fraudulent Transaction
16%
Graph Neural Network
35%
Graph Representation Learning
29%
Graph Traversal
20%
Graphics Processing Unit
21%
Information Retrieval
10%
Interaction Order
10%
Learning System
43%
Link Prediction
41%
Machine Learning
43%
Matrix Operation
11%
Message Passing
18%
Multicore
32%
Node Classification
62%
Optimization Problem
27%
Optimization Task
21%
Parallelization
34%
Precomputation
10%
Profit Maximization
10%
Query Processing
16%
Random Walk
100%
Relative Error
10%
Representation Learning
25%
Similarity Search
10%
Social Network
30%
Social Network Analysis
16%
spam
17%
Speedup Technique
10%
Superior Performance
12%
Time Complexity
16%
Topology Graph
21%
World Application
11%
World Wide Web Search
12%
Keyphrases
Accuracy Guarantee
14%
Algorithm Design
16%
Analysis on Graphs
10%
Approximation Guarantee
11%
Asymptotic Performance
11%
Attributed Graph
13%
Attributed Graph Clustering
13%
Attributed Network Clustering
10%
Attributed Network Embedding
32%
Attributed Networks
16%
Benchmark Dataset
15%
Bipartite Graph
52%
Cluster Quality
11%
Database and Data Management
10%
Disjoint
11%
Edge Representation
16%
Effective Edge
21%
Effective Resistance
10%
Efficient Solvers
13%
Feature Aggregation
17%
Graph Clustering
28%
Graph Neural Network
16%
Graph Query Processing
10%
Graph Representation Learning
29%
Graph Structure
13%
Heat Kernel Pagerank
10%
High Efficiency
20%
Hypergraph
21%
Index-free
12%
Information Retrieval
12%
K-nearest
21%
Large Graphs
71%
Link Prediction
13%
Local Clustering
10%
Machine Learning
10%
Matrix Operation
11%
Network Embedding
21%
Node Classification
24%
Node Representation
16%
Order of Magnitude
50%
PageRank
20%
Personalized PageRank
56%
Practical Efficiency
11%
Random Walk
22%
Random Walk Model
12%
Representation Learning
13%
Scalable Graph Neural Network
10%
SimRank
16%
Social Network Analysis
15%
Web Information Retrieval
10%