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Yang Wang

4 papers here

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV2
  • cs.AI1
  • cs.RO1
ORCID 0000-0001-8100-9194
same name
  • Yang Wang — 45 papers, h 102
  • Yang Wang — 22 papers
  • Yang Wang — 15 papers
  • Yang Wang — 11 papers
  • Yang Wang — 11 papers, h 13
  • Yang Wang — 10 papers

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

most citedAdvancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing

Shichao Ma, Yunhe Guo, Jiahao Su +3

Text-to-image generation tasks have driven remarkable advances in diverse media applications, yet most focus on single-turn scenarios and struggle with iterative, multi-turn creati…

cs.RO2025

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots

Wei Cui, Haoyu Wang, Wenkang Qin +19

Humanoid robot technology is advancing rapidly, with manufacturers introducing diverse heterogeneous visual perception modules tailored to specific scenarios. Among various percept…

cs.CV2025

MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models

Hongyang Zhu, Haipeng Liu, Bo Fu +1

Multi-object editing aims to modify multiple objects or regions in complex scenes while preserving structural coherence. This task faces significant challenges in scenarios involvi…

cs.AI2024★ 1 cited

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Chen Zhang, Qiang He, Zhou Yuan +4

Deep Reinforcement Learning (DRL) agents have demonstrated impressive success in a wide range of game genres. However, existing research primarily focuses on optimizing DRL compete…

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