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researcher

Yiru Wang

12 papers hereh-index 4108 citations16 works total

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

author position
  • first author4
  • middle author7

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.RO5
  • cs.CV4
  • cs.AI2
  • cs.IT1
same name
  • Yiru Wang — 3 papers, h 3
  • Yiru Wang — 2 papers, h 0
  • Yiru Wang — 2 papers, h 2
  • Yiru Wang — 1 paper, h 2
  • Yiru Wang — 1 paper, h 0
  • Yiru Wang — 1 paper, h 2

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 citedCL-SEC: Cross-Layer Semantic Error Correction Empowered by Language Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Unified Map Prior Encoder for Mapping and Planning

Zongzheng Zhang, Sizhe Zou, Guantian Zheng +12

Online mapping and end-to-end (E2E) planning in autonomous driving remain largely sensor-centric, leaving rich map priors, including HD/SD vector maps, rasterized SD maps, and sate…

cs.CV2026

HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving

Yiru Wang, Zichong Gu, Yu Gao +5

Vision-Language-Action (VLA) models offer promising capabilities for autonomous driving through multimodal understanding. However, their utilization in safety-critical scenarios is…

cs.CV2025

DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online HD Map Diffusion

Zhigang Sun, Yiru Wang, Anqing Jiang +13

Autonomous driving requires accurate scene understanding, including road geometry, traffic agents, and their semantic relationships. In online HD map generation scenarios, raster-b…

cs.CV2025

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction

Anqing Jiang, Jinhao Chai, Yu Gao +10

Recent advancements in high-definition \emph{HD} map construction have demonstrated the effectiveness of dense representations, which heavily rely on computationally intensive bird…

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