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Ziyue Jiang

Ziyue Jiang has 4 papers in our library, in 2024–2026, most of them on Speech & spoken language; often with Zhou Zhao, Bin Zhang, Chang Zhou.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 17 · 207 works · 1,277 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 97 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6354

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

🎓Zhejiang UniversityHangzhou · China2023–2025 · 20 paperscurrent🏢PfizerNew York · United States2021–2025 · 9 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2010–2019 · 19 papers🏢ImaginAbInglewood · United States2016–2020 · 3 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024 · 2 papers🎓Southeast UniversityNanjing · China2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksSignal Processing · 2 worksMedicine · 1 workPhysiology · 1 work

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

 Works by year

2020s

20262 papers20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension (2024 · 112 citations)
    Large audio-language models (LALMs) such as SALMONN, BLSP and Qwen-Audio can respond to spoken and other audio input in free text.
  2. Qwen3-TTS Technical Report (2026 · 14 citations)
    Qwen3-TTS is the Qwen team's first text-to-speech family. It aims for synthesis that is multilingual, controllable through natural-language voice descriptions, able to clone a voice from roughly three seconds of audio, and fast enough for streaming. The models use a Qwen3 LM backbone in a dual-track setup: text and…
  3. ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control (2025 · 10 citations)
    Text-to-speech systems have usually offered one of two abilities. Zero-shot models can copy an unseen speaker's voice but cannot change how that voice speaks. Style-controllable models follow textual style descriptions but cannot reproduce a chosen speaker's timbre. ControlSpeech combines both. It takes three inputs…
  4. Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios (2026)
    Long-form text-to-speech has shifted from single sentences to paragraphs and multi-speaker dialogue, but evaluation has not kept pace.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Yang, Jin Xu, Wenrui Liu, et al.2024 · 112 citations
  2. Qwen3-TTS Technical ReportarXiv:2601.15621Hangrui Hu, Xinfa Zhu, Ting He, et al.2026 · 14 citations
  3. TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetYu Zhang et al.2024 · 13 citations
  4. ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Shengpeng Ji, Qian Chen, Wen Wang, et al.2025 · 10 citations
  5. Comprehensive Benchmarking of Long-Form Speech Generation in Diverse ScenariosFindings of the Association for Computational LinguisticsChanghao Pan, Rui Yang, Han Wang, et al.2026

 Co-authors here

12 of 29 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 97 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

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