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Yuxuan Xiong

4 papers hereh-index 5155 citations6 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CL2
  • cs.AI1
  • cs.CV1
same name
  • Yuxuan Xiong — 6 papers, h 3
  • Yuxuan Xiong — 5 papers, h 2
  • Yuxuan Xiong — 2 papers, h 1
  • Yuxuan Xiong — 1 paper, h 2
  • Yuxuan Xiong — 1 paper, h 7
  • Yuxuan Xiong — 1 paper, 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
20202023
most citedNeural Topic Modeling with Bidirectional Adversarial Training

6 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency

Yue Shi, Yuxuan Xiong, Jingyi Chai +2

Dressed people reconstruction from images is a popular task with promising applications in the creative media and game industry. However, most existing methods reconstruct the huma…

cs.AI2021★ 1 cited

Variational Gaussian Topic Model with Invertible Neural Projections

Rui Wang, Deyu Zhou, Yuxuan Xiong +1

Neural topic models have triggered a surge of interest in extracting topics from text automatically since they avoid the sophisticated derivations in conventional topic models. How…

cs.CL2020★ 3 cited

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Xuemeng Hu, Rui Wang, Deyu Zhou +1

Advances on deep generative models have attracted significant research interest in neural topic modeling. The recently proposed Adversarial-neural Topic Model models topics with an…

cs.CL2020★ 6 cited

Neural Topic Modeling with Bidirectional Adversarial Training

Rui Wang, Xuemeng Hu, Deyu Zhou +4

Recent years have witnessed a surge of interests of using neural topic models for automatic topic extraction from text, since they avoid the complicated mathematical derivations fo…

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