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researcher

Lei Yuan

Nanjing University

18 papers hereh-index 16857 citations71 works total

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

author position
  • middle author17

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.RO6
  • cs.AI4
  • cs.CL1
  • cs.MA1
affiliations
  • Nanjing University
Homepage
same name
  • Lei Yuan — 7 papers, h 6
  • Lei Yuan — 6 papers
  • Lei Yuan — 2 papers, h 2
  • Lei Yuan — 1 paper, h 4
  • Lei Yuan — 1 paper
  • Lei Yuan — 1 paper

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
20222026
most citedMulti-agent Dynamic Algorithm Configuration

7 citations · 11 across the 10 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Efficient Test-Time Optimization for Multi-Agent Proof Autoformalization

Tian-Shuo Liu, Shiyuan Zhang, Zijie Geng +5

Full-proof autoformalization bridges extensive mathematical proofs in natural language with formally validated reasoning, offering a pathway to elevate the ceiling of verifiable ma…

cs.AI2026

Offline Multi-agent Continual Cooperation via Skill Partition and Reuse

Yuchen Xiao, Lei Yuan, Ruiqi Xue +2

Extracting skills from multi-agent offline dataset improves learning efficiency via sharing task-invariant coordination skills among tasks. In settings where tasks occur sequential…

cs.AI2025

Multi-agent Embodied AI: Advances and Future Directions

Zhaohan Feng, Ruiqi Xue, Lei Yuan +7

Embodied artificial intelligence (Embodied AI) plays a pivotal role in the application of advanced technologies in the intelligent era, where AI systems are integrated with physica…

cs.AI2022★ 4 cited

Multi-Agent Policy Transfer via Task Relationship Modeling

Rongjun Qin, Feng Chen, Tonghan Wang +5

Team adaptation to new cooperative tasks is a hallmark of human intelligence, which has yet to be fully realized in learning agents. Previous work on multi-agent transfer learning…

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