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Ziyang Ma

Ziyang Ma has 2 papers in our library, in 2025–2026, most of them on Speech & spoken language, Evaluation & benchmarks; often with Zhikang Niu, Haoyu Wang, Jian Zhao.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 12 · 90 works · 633 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 252 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #6178

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2023–2026 · 40 paperscurrent🎓Shanghai Innovation InstituteShanghai · China2026 · 2 paperscurrent🏢TencentShenzhen · China2025–2026 · 2 paperscurrent🏢Alibaba GroupHangzhou · China2023–2024 · 3 papers🎓Kunming University of Science and TechnologyKunming · China2025 · 2 papers🏢Alibaba DAMO AcademyHangzhou · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 workExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (2025 · 152 citations)
    F5-TTS is a fully non-autoregressive zero-shot text-to-speech system. It drops the usual alignment machinery: no duration model, no text encoder, and no phoneme alignment. Like E2 TTS, it turns the transcript into a character sequence, pads it with filler tokens to the length of the mel spectrogram, and trains a…
  2. Evaluating the Expressive Appropriateness of Speech in Rich Contexts (2026)
    Current speech evaluation tools mostly score naturalness, signal quality or emotional intensity for single utterances.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Constant Time Weighted Median Filtering for Stereo Matching and Beyond ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetZiyang Ma et al.2013 · 293 citations
  2. emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetZiyang Ma et al.2024 · 200 citations
  3. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Yushen Chen, Zhikang Niu, Ziyang Ma, et al.2025 · 152 citations
  4. Handling motion blur in multi-frame super-resolution ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZiyang Ma et al.2015 · 107 citations
  5. CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens ↗arXiv:2407.05407 · no summary yetZhihao Du et al.2024 · 93 citations
  6. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series ↗arXiv:2405.19327 · no summary yetGe Zhang et al.2024 · 44 citations
  7. BAT: Learning to Reason about Spatial Sounds with Large Language Models ↗arXiv (Cornell University) · no summary yetZhisheng Zheng et al.2024 · 7 citations
  8. Evaluating the Expressive Appropriateness of Speech in Rich ContextsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.2026

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 252 times (of the 149,439 papers whose bibliographies we read); 58 citing papers with a page here →.

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