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Xiaochen Yuan

4 papers hereh-index 10319 citations56 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
  • cs.LG1
same name
  • Xiaochen Yuan — 3 papers, h 2
  • Xiaochen Yuan — 3 papers, h 0
  • Xiaochen Yuan — 2 papers, h 2
  • Xiaochen Yuan — 2 papers, h 4
  • Xiaochen Yuan — 2 papers, h 10
  • Xiaochen Yuan — 2 papers, h 21

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 citedRBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition

28 citations · 28 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities

Yejing Huo, Guoheng Huang, Lianglun Cheng +5

Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies…

cs.CV2024

TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation

Ruicheng Zhang, Guoheng Huang, Yejing Huo +4

Generative Adversarial Networks (GANs) have emerged as a prominent research focus for image editing tasks, leveraging the powerful image generation capabilities of the GAN framewor…

cs.CV2024

Adaptive Query Prompting for Multi-Domain Landmark Detection

Yuhui Li, Qiusen Wei, Guoheng Huang +5

Medical landmark detection is crucial in various medical imaging modalities and procedures. Although deep learning-based methods have achieve promising performance, they are mostly…

cs.AI2023★ 28 cited

RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition

Lin Yuan, Guoheng Huang, Fenghuan Li +3

Emotion recognition in conversation (ERC) has received increasing attention from researchers due to its wide range of applications.As conversation has a natural graph structure,num…

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