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Ligong Wang

4 papers hereh-index 314 citations7 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT4
same name
  • Ligong Wang — 20 papers, h 17
  • Ligong Wang — 17 papers, h 2
  • Ligong Wang — 11 papers
  • Ligong Wang — 9 papers, h 19
  • Ligong Wang — 4 papers, h 2
  • Ligong Wang — 4 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
20232026
most citedState-Dependent Channels with a Message-Cognizant Helper

3 citations · 3 across the 3 of their papers we have counts for

collaborators

4 papers

cs.IT2026

The Equivalence of Causal and Noncausal State Information on Bipartite Networks With State-Cognizant Receivers

Amos Lapidoth, Baohua Ni, Ligong Wang

State-dependent bipartite networks with state-cognizant receivers and state-informed transmitters are studied. Such networks have no nodes that both transmit and receive. Examples…

cs.IT2024

Covert Communication Over Additive-Noise Channels

Cécile Bouette, Laura Luzzi, Ligong Wang

We study the fundamental limits of covert communications over general memoryless additive-noise channels. We assume that the legitimate receiver and the eavesdropper share the same…

cs.IT2023★ 3 cited

State-Dependent Channels with a Message-Cognizant Helper

Amos Lapidoth, Ligong Wang, Yiming Yan

The capacity of a state-dependent discrete memoryless channel (SD-DMC) is derived for the setting where a message-cognizant rate-limited helper observes the state sequence noncausa…

cs.IT2023

Message-Cognizant Assistance and Feedback for the Gaussian Channel

Amos Lapidoth, Ligong Wang, Yiming Yan

A formula is derived for the capacity of the Gaussian channel with a benevolent message-cognizant rate-limited helper that provides a noncausal description of the noise to the enco…

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