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researcher

Rui Zhang

9 papers hereh-index 5281 citations12 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO2
  • cs.AI1
  • cs.CL1
  • cs.CR1
  • cs.CV1
same name
  • Rui Zhang — 268 papers, h 137
  • Rui Zhang — 114 papers, h 77
  • Rui Zhang — 46 papers, h 17
  • Rui Zhang — 38 papers, h 13
  • Rui Zhang — 32 papers, h 16
  • Rui Zhang — 31 papers, h 24

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 citedKimi K2.5: Visual Agentic Intelligence

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

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.RO2025

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition

Jiahang Cao, Yize Huang, Hanzhong Guo +15

Diffusion-based models for robotic control, including vision-language-action (VLA) and vision-action (VA) policies, have demonstrated significant capabilities. Yet their advancemen…

cs.AI2025

Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction

Yesheng Zhang, Wenjian Sun, Yuheng Chen +4

Complex interactions among agents present a significant challenge for autonomous driving in real-world scenarios. Recently, a promising approach has emerged, which formulates the i…

cs.MA2025

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems

Fangqiao Tian, An Luo, Jin Du +12

A multi-agent AI system (MAS) is composed of multiple autonomous agents that interact, exchange information, and make decisions based on internal generative models. Recent advances…

cs.RO2025

Safety Aware Task Planning via Large Language Models in Robotics

Azal Ahmad Khan, Michael Andrev, Muhammad Ali Murtaza +5

The integration of large language models (LLMs) into robotic task planning has unlocked better reasoning capabilities for complex, long-horizon workflows. However, ensuring safety…

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