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Guangyan Zhang

12 papers hereh-index 2130 citations13 works total

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

author position
  • middle author12

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.AS5
  • cs.CL3
  • cs.SD3
  • cs.CV1
same name
  • Guangyan Zhang — 10 papers, h 8
  • Guangyan Zhang — 1 paper, h 3
  • Guangyan Zhang — 1 paper, h 2

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
most citedRecent Advances in Speech Language Models: A Survey

5 citations · 6 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

eess.AS2026

One-Step Token-to-Waveform Generation with MeanFlow in Latent Space

Zheqi Dai, Guangyan Zhang, Zhen Ye +5

Neural audio codecs are central to modern LLM-based Text-to-Speech (TTS) and multimodal systems. As low-bitrate semantic codecs gain prominence, the Token-to-Waveform (Token2Wav) d…

eess.AS2026

Which Speech Representation Better Matches Text-Native Reasoning? A Study of Speech-Text Alignment on Frame Rate and Representation

Zhen Ye, Xu Tan, Yiming Li +10

Spoken dialogue models typically start from text LLM backbones, yet reasoning often degrades when conditioning on speech instead of text. We attribute part of this modality gap to…

cs.CV2026

Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling

Zhen Ye, Xu Tan, Aoxiong Yin +8

Joint audio-video generation models have shown that unified generation yields stronger cross-modal coherence than cascaded approaches. However, existing models couple modalities th…

eess.AS2026

SemanticAudio: Audio Generation and Editing in Semantic Space

Zheqi Dai, Guangyan Zhang, Haolin He +5

In recent years, Text-to-Audio Generation has achieved remarkable progress, offering sound creators powerful tools to transform textual inspirations into vivid audio. However, exis…

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