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researcher

Zhenfei Yin

16 papers hereh-index 7301 citations20 works total

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

author position
  • middle author15
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG4
  • cs.AI2
  • cs.CL2
  • cs.RO2
same name
  • Zhenfei Yin — 30 papers, h 9
  • Zhenfei Yin — 18 papers, h 4
  • Zhenfei Yin — 7 papers, h 4
  • Zhenfei Yin — 4 papers, h 5
  • Zhenfei Yin — 1 paper
  • Zhenfei Yin — 1 paper, h 0

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
20242026
most citedMany Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

4 citations · 5 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Interleaving Reasoning for Better Text-to-Image Generation

Wenxuan Huang, Shuang Chen, Zheyong Xie +15

Unified multimodal understanding and generation models recently have achieve significant improvement in image generation capability, yet a large gap remains in instruction followin…

cs.AI2025

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research

Renqi Chen, Haoyang Su, Shixiang Tang +7

The Science of Science (SoS) explores the mechanisms underlying scientific discovery, and offers valuable insights for enhancing scientific efficiency and fostering innovation. Tra…

cs.RO2025

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents

Rui Li, Zixuan Hu, Wenxi Qu +13

Scientific embodied agents play a crucial role in modern laboratories by automating complex experimental workflows. Compared to typical household environments, laboratory settings…

cs.CV2025

CompBench: Benchmarking Complex Instruction-guided Image Editing

Bohan Jia, Wenxuan Huang, Yuntian Tang +14

While real-world applications increasingly demand intricate scene manipulation, existing instruction-guided image editing benchmarks often oversimplify task complexity and lack com…

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