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Minlan Yu

9 papers hereh-index 429.2k citations113 works total

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

author position
  • middle author2
  • last author5

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.NI6
  • cs.CR1
  • cs.DB1
  • cs.DS1
same name
  • Minlan Yu — 6 papers, h 1
  • Minlan Yu — 6 papers, h 3
  • Minlan Yu — 5 papers, h 4
  • Minlan Yu — 4 papers, h 4
  • Minlan Yu — 4 papers, h 3
  • Minlan Yu — 2 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
20172022
most citedAutomating Botnet Detection with Graph Neural Networks

46 citations · 70 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.NI2020★ 14 cited

PINT: Probabilistic In-band Network Telemetry

Ran Ben Basat, Sivaramakrishnan Ramanathan, Yuliang Li +3

Commodity network devices support adding in-band telemetry measurements into data packets, enabling a wide range of applications, including network troubleshooting, congestion cont…

cs.NI2020★ 4 cited

Routing Oblivious Measurement Analytics

Ran Ben Basat, Xiaoqi Chen, Gil Einziger +3

Network-wide traffic analytics are often needed for various network monitoring tasks. These measurements are often performed by collecting samples at network switches, which are th…

cs.DB2020★ 1 cited

Cheetah: Accelerating Database Queries with Switch Pruning

Muhammad Tirmazi, Ran Ben Basat, Jiaqi Gao +1

Modern database systems are growing increasingly distributed and struggle to reduce query completion time with a large volume of data. In this paper, we leverage programmable switc…

cs.CR2020★ 46 cited

Automating Botnet Detection with Graph Neural Networks

Jiawei Zhou, Zhiying Xu, Alexander M. Rush +1

Botnets are now a major source for many network attacks, such as DDoS attacks and spam. However, most traditional detection methods heavily rely on heuristically designed multi-sta…

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