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researcher

Rui Ma

4 papers hereh-index 215 citations4 works total

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

author position
  • middle author3

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

fields
  • cs.CV2
  • cs.RO1
  • hep-ph1
same name
  • Rui Ma — 15 papers, h 3
  • Rui Ma — 8 papers, h 9
  • Rui Ma — 7 papers, h 3
  • Rui Ma — 6 papers, h 5
  • Rui Ma — 6 papers, h 5
  • Rui Ma — 5 papers, h 5

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 citedDiscover the GellMann-Okubo formula with machine learning

8 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

PhysCodeBench: Benchmarking Physics-Aware Symbolic Simulation of 3D Scenes via Self-Corrective Multi-Agent Refinement

Tianyidan Xie, Peiyu Wang, Yuyi Qian +11

Translating natural-language descriptions of physical phenomena into executable simulation code requires both programming expertise and physical reasoning. Current large language m…

cs.CV2024

One-Shot Learning for Pose-Guided Person Image Synthesis in the Wild

Dongqi Fan, Tao Chen, Mingjie Wang +5

Current Pose-Guided Person Image Synthesis (PGPIS) methods depend heavily on large amounts of labeled triplet data to train the generator in a supervised manner. However, they ofte…

cs.CV2024

Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation

Tianyidan Xie, Rui Ma, Qian Wang +6

Recent advancements in image-conditioned image generation have demonstrated substantial progress. However, foreground-conditioned image generation remains underexplored, encounteri…

hep-ph2022★ 8 cited

Discover the GellMann-Okubo formula with machine learning

Zhenyu Zhang, Rui Ma, Jifeng Hu +1

Machine learning is a novel and powerful technology and has been widely used in various science topics. We demonstrate a machine-learning based approach built by a set of general m…

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