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Milin Zhang

Institute for the Wireless Internet of Things

1 paper hereh-index 580 citations12 works total

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

author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1
affiliations
  • Institute for the Wireless Internet of Things
  • Northeastern University
Homepage
same name
  • Milin Zhang — 3 papers
  • Milin Zhang — 2 papers, h 22
  • Milin Zhang — 2 papers
  • Milin Zhang — 1 paper
  • Milin Zhang — 1 paper
  • Milin Zhang — 1 paper, h 1

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

collaborators

4 papers

cs.LG2024

Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges

Milin Zhang, Mohammad Abdi, Venkat R. Dasari +1

Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth-generation (6G)…

cs.LG2024

Resilience of Entropy Model in Distributed Neural Networks

Milin Zhang, Mohammad Abdi, Shahriar Rifat +1

Distributed deep neural networks (DNNs) have emerged as a key technique to reduce communication overhead without sacrificing performance in edge computing systems. Recently, entrop…

cs.NI2024

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching

Daniel Uvaydov, Milin Zhang, Clifton Paul Robinson +3

Spectrum has become an extremely scarce and congested resource. As a consequence, spectrum sensing enables the coexistence of different wireless technologies in shared spectrum ban…

cs.LG2023

Adversarial Attacks to Latent Representations of Distributed Neural Networks in Split Computing

Milin Zhang, Mohammad Abdi, Jonathan Ashdown +1

Distributed deep neural networks (DNNs) have been shown to reduce the computational burden of mobile devices and decrease the end-to-end inference latency in edge computing scenari…

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