Xiqiang Qu

dblp:246/7519 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0002-4492-1632ORCID · reported

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

Theory of computation · 2 · 2 first-author · 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.

Theoretical computer science
2 papers
Information theory · 50% Coding theory · 32% Mathematical optimization · 18%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
optimal transport
1.012026
Channel-Aware Optimal Transport: A Theoretical Framework for Generative Communication · IEEE Trans. Inf. Theory 2026
Information theory
common randomness
0.912025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space · IEEE Trans. Inf. Theory 2025
Coding theory › source coding › rate-distortion theory
rate-distortion-perception tradeoff
0.912025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space · IEEE Trans. Inf. Theory 2025
Coding theory › source coding
rate-distortion theory
0.912025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space · IEEE Trans. Inf. Theory 2025
Information theory › channel capacity
single-letter characterization
0.912025
Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space · IEEE Trans. Inf. Theory 2025

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

optimal transport · 1.0soft covering lemma · 0.9gaussian source · 0.9
YearPublicationVenuePosition
2026 Channel-Aware Optimal Transport: A Theoretical Framework for Generative Communication
Xiqiang Qu, Ruibin Li, Jun Chen 0005, Lei Yu 0003, Xinbing Wang
IEEE Trans. Inf. Theory1
2025 Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
abstract
We derive a single-letter characterization of the fundamental distortion-rate-perception tradeoff with limited common randomness under the squared error distortion measure and the squared Wasserstein-2 perception measure. This characterization is further shown to admit an explicit evaluation in the case of Gaussian sources. In addition, we clarify two different notions of universal representation. As a byproduct, soft-covering lemmas with respect to the Wasserstein-2 distance are established.
Xiqiang Qu, Jun Chen 0005, Lei Yu 0003, Xiangyu Xu 0002
IEEE Trans. Inf. Theory1