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Zhiyong Wu

4 papers here

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.HC3
  • cs.CL1
ORCID 0000-0001-8533-0524
same name
  • Zhiyong Wu — 62 papers, h 21
  • Zhiyong Wu — 28 papers, h 20
  • Zhiyong Wu — 14 papers, h 11
  • Zhiyong Wu — 13 papers, h 14
  • Zhiyong Wu — 12 papers, h 3
  • Zhiyong Wu — 11 papers, h 5

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 citedThe DiffuseStyleGesture+ entry to the GENEA Challenge 2023

31 citations · 65 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC2023★ 17 cited

UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons

Sicheng Yang, Zilin Wang, Zhiyong Wu +8

The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack o…

cs.HC2023★ 31 cited

The DiffuseStyleGesture+ entry to the GENEA Challenge 2023

Sicheng Yang, Haiwei Xue, Zhensong Zhang +5

In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which aims t…

cs.CL2022★ 1 cited

Lexicon-injected Semantic Parsing for Task-Oriented Dialog

Xiaojun Meng, Wenlin Dai, Yasheng Wang +4

Recently, semantic parsing using hierarchical representations for dialog systems has captured substantial attention. Task-Oriented Parse (TOP), a tree representation with intents a…

cs.HC2022★ 16 cited

The ReprGesture entry to the GENEA Challenge 2022

Sicheng Yang, Zhiyong Wu, Minglei Li +4

This paper describes the ReprGesture entry to the Generation and Evaluation of Non-verbal Behaviour for Embodied Agents (GENEA) challenge 2022. The GENEA challenge provides the pro…

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