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Chenang Li

dblp:325/3290 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Network security · 67% Privacy and data protection · 33%
Artificial intelligence
2 papers
Efficient and distributed learning · 50% Graph learning · 50%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention › intrusion detection › attack detection › machine learning-based detection › machine learning-based intrusion detection
federated learning-based intrusion detection
1.012026
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning · NDSS 2026
Network security › intrusion detection and prevention
intrusion detection
1.012026
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning · NDSS 2026
Privacy and data protection
privacy-preserving machine learning
1.012026
Convergent Privacy Framework for Multi-layer GNNs through Contractive Message Passing · NDSS 2026
Machine learning › Efficient and distributed learning
federated learning
0.312026
Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning · NDSS 2026
Machine learning › Graph learning
graph neural network
0.312026
Convergent Privacy Framework for Multi-layer GNNs through Contractive Message Passing · NDSS 2026

Methods — techniques the papers use, named apart from their topics

graph neural network · 2.0federated learning · 2.0differential privacy · 2.0contractive message passing · 2.0
YearPublicationVenuePosition
2026 Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning
Jiacen Xu 0001, Chenang Li, Zhou Li 0001
NDSS2
2026 Convergent Privacy Framework for Multi-layer GNNs through Contractive Message Passing
Chenang Li, Zhou Li 0001
NDSS2