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Zhen Yuan

4 papers hereh-index 00 citations5 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV2
  • cs.LG1
  • cs.RO1
same name
  • Zhen Yuan — 5 papers, h 3
  • Zhen Yuan — 5 papers, h 5
  • Zhen Yuan — 2 papers, h 18
  • Zhen Yuan — 2 papers, h 2
  • Zhen Yuan — 2 papers, h 1
  • Zhen Yuan — 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.LG2026

M100: An Orchestrated Dataflow Architecture Powering General AI Computing

Yan Xie, Changkui Mao, Changsong Wu +34

As deep learning-based AI technologies gain momentum, the demand for general-purpose AI computing architectures continues to grow. While GPGPU-based architectures offer versatility…

cs.RO2026

Robotic Manipulation is Vision-to-Geometry Mapping: Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou +4

At its core, robotic manipulation is a problem of vision-to-geometry mapping (f(v)→G). Physical actions are fundamentally defined by geometric properties like 3D posi…

cs.CV2026

MODIX: A Training-Free Multimodal Information-Driven Positional Index Scaling for Vision-Language Models

Ruoxiang Huang, Zhen Yuan

Vision-Language Models (VLMs) have achieved remarkable progress in multimodal understanding, yet their positional encoding mechanisms remain suboptimal. Existing approaches uniform…

cs.CV2025

OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models

Ruoxiang Huang, Xindian Ma, Rundong Kong +2

Vision-Language Models (VLMs) have demonstrated strong performance across various multimodal tasks, where position encoding plays a vital role in modeling both the sequential struc…

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