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Yang Chen

5 papers hereh-index 223 citations9 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Yang Chen — 12 papers, h 8
  • Yang Chen — 10 papers, h 3
  • Yang Chen — 10 papers, h 4
  • Yang Chen — 8 papers, h 3
  • Yang Chen — 8 papers, h 2
  • Yang Chen — 7 papers, h 7

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
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Towards Robust and Realistic Human Pose Estimation via WiFi Signals

Yang Chen, Jingcai Guo

Robust WiFi-based human pose estimation (HPE) is a challenging task that bridges discrete and subtle WiFi signals to human skeletons. We revisit this problem and reveal two critica…

cs.CV2026

Learning by Neighbor-Aware Semantics, Deciding by Open-form Flows: Towards Robust Zero-Shot Skeleton Action Recognition

Yang Chen, Miaoge Li, Zhijie Rao +3

Recognizing unseen skeleton action categories remains highly challenging due to the absence of corresponding skeletal priors. Existing approaches generally follow an ``align-then-c…

cs.CV2025

Exploring Transferable Homogeneous Groups for Compositional Zero-Shot Learning

Zhijie Rao, Jingcai Guo, Miaoge Li +1

Conditional dependency present one of the trickiest problems in Compositional Zero-Shot Learning, leading to significant property variations of the same state (object) across diffe…

cs.CV2024

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

Yang Chen, Jingcai Guo, Song Guo +1

Zero-shot skeleton action recognition is a non-trivial task that requires robust unseen generalization with prior knowledge from only seen classes and shared semantics. Existing me…

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