◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhisheng Zhang

7 papers hereh-index 333 citations6 works total

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

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SD6
  • eess.AS1
same name
  • Zhisheng Zhang — 4 papers, h 3
  • Zhisheng Zhang — 2 papers, h 2
  • Zhisheng Zhang — 1 paper, h 12
  • Zhisheng Zhang — 1 paper, h 2
  • Zhisheng 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 citedMitigating Unauthorized Speech Synthesis for Voice Protection

7 citations · 7 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.SD2026

Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMs

Jing Peng, Zichao Nie, Zhisheng Zhang +2

Large Audio Language Models (LALMs) utilize either continuous features or discrete tokens, yet the optimal representation paradigm for general audio understanding remains debated.…

cs.SD2026

Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions

Haiyun Li, Shuhai Peng, Zhisheng Zhang +4

Audio watermarking aims to embed identifiable information into audio while remaining imperceptible. Existing methods adopt high-fidelity, low-energy designs to preserve perceptual…

cs.SD2026

VoxCPM2 Technical Report

Yixuan Zhou, Guoyang Zeng, Xin Liu +15

We present VoxCPM2, a https://info.arxiv.org/help/prep#abstractsfully open-source multilingual and controllable speech generation foundation model that extends the hierarchical dif…

eess.AS2026

LoSATok: Low-Dimensional Semantic-Acoustic Tokenizer for Cross-Domain Audio Understanding and Generation

Zhisheng Zhang, Xiang Li, Yixuan Zhou +3

Audio tokenizers are fundamental to unifying audio understanding and generation. Understanding requires high-level semantics, while generation demands semantic and acoustic details…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.