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Yibo Yang

4 papers hereh-index 2105 citations8 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Yibo Yang — 31 papers, h 23
  • Yibo Yang — 17 papers, h 6
  • Yibo Yang — 14 papers, h 2
  • Yibo Yang — 13 papers, h 11
  • Yibo Yang — 8 papers, h 3
  • Yibo Yang — 7 papers, h 6

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
20222026
most citedMulti-Task Learning with Multi-Query Transformer for Dense Prediction

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

collaborators

4 papers

cs.CV2026

Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction

Yangyang Xu, Haobo Yuan, Yuzhu Wang +4

Vision foundation backbones provide strong representations for dense prediction, yet a single shared feature still needs to support tasks with different, image-dependent adaptation…

cs.AI2026

AIDABench: AI Data Analytics Benchmark

Yibo Yang, Fei Lei, Yixuan Sun +24

As AI-driven document understanding and processing tools become increasingly prevalent in real-world applications, the need for rigorous evaluation standards has grown increasingly…

cs.CV2023

DeGMix: Efficient Multi-Task Dense Prediction with Deformable and Gating Mixer

Yangyang Xu, Yibo Yang, Bernard Ghanem +3

Convolution neural networks and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Existing studies typically…

cs.CV2022★ 3 cited

Multi-Task Learning with Multi-Query Transformer for Dense Prediction

Yangyang Xu, Xiangtai Li, Haobo Yuan +2

Previous multi-task dense prediction studies developed complex pipelines such as multi-modal distillations in multiple stages or searching for task relational contexts for each tas…

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