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Ding Li

5 papers hereh-index 151.6k citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.LG1
same name
  • Ding Li — 19 papers, h 12
  • Ding Li — 4 papers, h 3
  • Ding Li — 4 papers, h 2
  • Ding Li — 4 papers, h 2
  • Ding Li — 4 papers, h 1
  • Ding Li — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedStructural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

11 citations · 17 across the 2 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2019★ 6 cited

Heterogeneous Graph Matching Networks

Shen Wang, Zhengzhang Chen, Xiao Yu +7

Information systems have widely been the target of malware attacks. Traditional signature-based malicious program detection algorithms can only detect known malware and are prone t…

cs.CR2019

Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection

Peng Gao, Xusheng Xiao, Ding Li +4

The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely ab…

cs.CR2018

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification

Shen Wang, Zhengzhang Chen, Ding Li +6

Program or process is an integral part of almost every IT/OT system. Can we trust the identity/ID (e.g., executable name) of the program? To avoid detection, malware may disguise i…

cs.CR2018

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

Peng Gao, Xusheng Xiao, Ding Li +6

Recently, advanced cyber attacks, which consist of a sequence of steps that involve many vulnerabilities and hosts, compromise the security of many well-protected businesses. This…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.