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Jingjing Huang

4 papers hereh-index 235 citations4 works total

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

author position
  • middle author4

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

fields
  • cs.CV2
  • cs.AI1
  • stat.AP1
same name
  • Jingjing Huang — 3 papers, h 5
  • Jingjing Huang — 1 paper, h 2
  • Jingjing Huang — 1 paper, h 3
  • Jingjing Huang — 1 paper, h 4

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 citedWhy Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Scaling Spatial Reasoning in MLLMs through Programmatic Data Synthesis

Zhi Helu, Huang Jingjing, Xu Wang +9

Embodied intelligence, a grand challenge in artificial intelligence, is fundamentally constrained by the limited spatial understanding and reasoning capabilities of current models.…

stat.AP2025

TacEleven: generative tactic discovery for football open play

Siyao Zhao, Hao Ma, Zhiqiang Pu +4

Creating offensive advantages during open play is fundamental to football success. However, due to the highly dynamic and long-sequence nature of open play, the potential tactic sp…

cs.CV2025

Video2Layout: Recall and Reconstruct Metric-Grounded Cognitive Map for Spatial Reasoning

Yibin Huang, Wang Xu, Wanyue Zhang +6

Spatial intelligence is a critical frontier for Multimodal Large Language Models (MLLMs), empowering them to comprehend the physical world. Drawing inspiration from human perceptio…

cs.CV2025★ 1 cited

Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to Architecture

Wanyue Zhang, Yibin Huang, Yangbin Xu +5

Spatial understanding is essential for Multimodal Large Language Models (MLLMs) to support perception, reasoning, and planning in embodied environments. Despite recent progress, ex…

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