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researcher

Haiyang Liu

4 papers hereh-index 368 citations6 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.LG1
  • cs.RO1
same name
  • Haiyang Liu — 11 papers, h 5
  • Haiyang Liu — 7 papers, h 5
  • Haiyang Liu — 4 papers, h 4
  • Haiyang Liu — 3 papers, h 7
  • Haiyang Liu — 3 papers, h 4
  • Haiyang Liu — 2 papers, 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 citedRenderWorld: World Model with Self-Supervised 3D Label

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2026

AR Forcing: Towards Long-Horizon Robot Navigation World Model

Yifei Yang, Zehua Fan, Huan Li +9

The diffusion based robot navigation world models are typically trained using parallel supervision, while autoregressive inference is employed during path planning. This results in…

cs.CV2026

Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models

Canyu Chen, Yuguang Yang, Zhewen Tan +10

We identify a fundamental Narrow Policy limitation undermining the performance of autonomous VLA models, where driving Imitation Learning (IL) tends to collapse exploration and lim…

cs.LG2024★ 1 cited

GWQ: Gradient-Aware Weight Quantization for Large Language Models

Yihua Shao, Yan Gu, Siyu Chen +12

Large language models (LLMs) show impressive performance in solving complex language tasks. However, its large number of parameters presents significant challenges for the deployme…

cs.CV2024★ 2 cited

RenderWorld: World Model with Self-Supervised 3D Label

Ziyang Yan, Wenzhen Dong, Yihua Shao +8

End-to-end autonomous driving with vision-only is not only more cost-effective compared to LiDAR-vision fusion but also more reliable than traditional methods. To achieve a economi…

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