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Linfeng Zhang

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.CL1
  • cs.LG1
ORCID 0000-0002-3341-183X
same name
  • Linfeng Zhang — 27 papers
  • Linfeng Zhang — 15 papers
  • Linfeng Zhang — 10 papers
  • Linfeng Zhang — 6 papers
  • Linfeng Zhang — 4 papers
  • Linfeng Zhang — 4 papers

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

most citedTACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into Generation

Yuanhuiyi Lyu, Chi Kit Wong, Chenfei Liao +5

Recent works have made notable advancements in enhancing unified models for text-to-image generation through the Chain-of-Thought (CoT). However, these reasoning methods separate t…

cs.CV2025

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era

Xu Zheng, Chenfei Liao, Ziqiao Weng +12

Omnidirectional vision, using 360-degree vision to understand the environment, has become increasingly critical across domains like robotics, industrial inspection, and environment…

cs.LG2025★ 1 cited

SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching

Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu +4

Diffusion models have revolutionized high-fidelity image and video synthesis, yet their computational demands remain prohibitive for real-time applications. These models face two f…

cs.CL2025★ 1 cited

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration

Weiya Li, Junjie Chen, Bei Li +8

Machine translation has long been a central task in natural language processing. With the rapid advancement of large language models (LLMs), there has been remarkable progress in t…

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