--- title: "Sanyuan Chen — author profile and papers — Elamur Research" description: "Sanyuan Chen: 2 papers on Elamur Research (2023–2025), h-index 17 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sanyuan-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sanyuan-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sanyuan Chen # Sanyuan Chen Sanyuan Chen has 2 papers in our library, in 2023–2025, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/), [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/), [Sheng Zhao](https://md.research.elamur.ai/free/en/authors/sheng-zhao/). 2 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5079533447) · [ORCID](https://orcid.org/0000-0002-3082-6052) · [Wikidata](https://www.wikidata.org/wiki/Q130800663) · [**h-index 17**](https://openalex.org/authors/A5079533447) · [42 works](https://openalex.org/works?filter=author.id:A5079533447) · [3,160 citations](https://openalex.org/works?filter=author.id:A5079533447&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sanyuan-chen/#papers) · [🔗 Cited 327 times in our library](https://md.research.elamur.ai/free/en/authors/sanyuan-chen/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4572](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4572) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Sanyuan+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sanyuan+Chen) · [dblp](https://dblp.org/search?q=Sanyuan+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Sanyuan+Chen) ## Affiliations [🏢**Microsoft** Redmond · United States 2020–2024 · 16 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Harbin Institute of Technology** Harbin · China 2020–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🏢**Microsoft Research Asia** Beijing · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2012–2013 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Semiconductors** Beijing · China 2012–2013 · 3 papers](https://ror.org/048dd0611) · [🔬**State Key Laboratory on Integrated Optoelectronics** Beijing · China 2012–2013 · 2 papers](https://ror.org/00g102351) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Physiology · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/physiology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sanyuan-chen/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/sanyuan-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/)** *(2023 · 335 citations)* Zero-shot text-to-speech means reproducing a voice the system never saw during training. Earlier approaches relied on speaker adaptation or dedicated speaker encoders. Models trained on small, studio-clean corpora tend to generalize poorly to new speakers. 2. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/)** *(2025 · 25 citations)* Codec-based zero-shot TTS systems such as VALL-E represent speech as vector-quantized tokens. These tokens lose fidelity compared with continuous features. Sampling from them can also produce silences or noise loops, and the systems need a two-pass AR+NAR decoder. MELLE removes quantization entirely: a single… ## All works 4 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. [**Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers arXiv:2301.02111**Chengyi Wang, Sanyuan Chen, Yu Wu, et al.*2023 · 335 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/) 2. **[Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting ↗](https://aclanthology.org/2020.emnlp-main.634/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sanyuan Chen et al.*2020 · 257 citations* 3. **[WavLLM: Towards Robust and Adaptive Speech Large Language Model ↗](https://aclanthology.org/2024.findings-emnlp.263/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Shujie Hu et al.*2024 · 98 citations* 4. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingwei Meng, Long Zhou, Shujie Liu, et al.*2025 · 25 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/) ×2 - [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/) ×2 - [Sheng Zhao](https://md.research.elamur.ai/free/en/authors/sheng-zhao/) ×2 - [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/) ×2 - [Yanqing Liu](https://md.research.elamur.ai/free/en/authors/yanqing-liu/) ×2 - [Bing Han](https://md.research.elamur.ai/free/en/authors/bing-han/) - [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/) - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Helen Meng](https://md.research.elamur.ai/free/en/authors/helen-meng/) - [Xixin Wu](https://md.research.elamur.ai/free/en/authors/xixin-wu/) - [Yu Wu](https://md.research.elamur.ai/free/en/authors/yu-wu/) - [Zhuo Chen](https://md.research.elamur.ai/free/en/authors/zhuo-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - Findings of the Association for Computational Linguistics: EMNLP 2024 - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ## Cited by Papers of our library cite their works 327 times (of the 149,439 papers whose bibliographies we read); [61 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sanyuan-chen/cited-by/). Updated 1 November 2026