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Xuan Liu

4 papers hereh-index 216 citations4 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Xuan Liu — 5 papers, h 2
  • Xuan Liu — 4 papers, h 1
  • Xuan Liu — 4 papers, h 2
  • Xuan Liu — 4 papers, h 1
  • Xuan Liu — 2 papers, h 1
  • Xuan Liu — 2 papers, 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

works on
agentic models 1continual learning 1memory module 1symbolic concept learning 1visual generation 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.CV2026

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling

Jinxiu Liu, Xuanming Liu, Kangfu Mei +2

High-fidelity image generation faces a trade-off between speed and quality. Diffusion models produce strong visuals but require costly iterative sampling. Existing efficient method…

cs.CV2026

SymbOmni: Evolving Agentic Omni Models via Symbolic Concept Learning

Jinxiu Liu, Jianru Li, Tanqing Kuang +4

The paper introduces SymbOmni, an agentic omni-model for visual generation that uses a symbolic concept memory to continuously learn and compose reusable instructions, enabling con…

cs.CV2026

Streaming Autoregressive Video Generation via Diagonal Distillation

Jinxiu Liu, Xuanming Liu, Kangfu Mei +3

Large pretrained diffusion models have significantly enhanced the quality of generated videos, and yet their use in real-time streaming remains limited. Autoregressive models offer…

cs.CV2026

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow

Yongjia Ma, Donglin Di, Xuan Liu +4

Rectified flow models have achieved remarkable performance in image and video generation tasks. However, existing numerical solvers face a trade-off between fast sampling and high…

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