--- title: "Chengyi Wang · Jiangsu University — author profile and papers" description: "Chengyi Wang, Jiangsu University: 3 papers on Elamur Research (2022–2025), h-index 40 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chengyi-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengyi-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengyi Wang # Chengyi Wang Chengyi Wang has 3 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/), [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/), [Yu Wu](https://md.research.elamur.ai/free/en/authors/yu-wu/). 3 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5101863385) · [ORCID](https://orcid.org/0000-0002-6780-9299) · [**h-index 40**](https://openalex.org/authors/A5101863385) · [202 works](https://openalex.org/works?filter=author.id:A5101863385) · [6,272 citations](https://openalex.org/works?filter=author.id:A5101863385&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chengyi-wang/#papers) · [🔗 Cited 307 times in our library](https://md.research.elamur.ai/free/en/authors/chengyi-wang/cited-by/) · [⭐ Paper Stars ranking: #3026](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3026) 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=Chengyi+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengyi+Wang) · [dblp](https://dblp.org/search?q=Chengyi+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Chengyi+Wang) ## Affiliations [🎓**Jiangsu University of Science and Technology** Zhenjiang · China 2008–2026 · 5 papers*current*](https://ror.org/00tyjp878) · [🎓**Duke-NUS Medical School** Singapore · Singapore 2025–2026 · 2 papers*current*](https://ror.org/02j1m6098) · [🎓**Harbin Engineering University** Harbin · China 2025–2026 · 2 papers*current*](https://ror.org/03x80pn82) · [🏥**Peking University Third Hospital** Beijing · China 2025–2026 · 2 papers*current*](https://ror.org/04wwqze12) · [🎓**Jiangsu University** Zhenjiang · China 2026 · 1 paper*current*](https://ror.org/03jc41j30) · [🎓**Shandong University** Jinan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2005–2025 · 49 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Nankai University** Tianjin · China 2017–2025 · 23 papers](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🔬**Institute of Remote Sensing and Digital Earth** Beijing · China 2015–2022 · 23 papers](https://ror.org/02cjszf03) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 38 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Physiology · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/physiology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/) · [**2023** 1 paper 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/) · [**2022** 1 paper SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) ## 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 · 333 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. **[SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/)** *(2022 · 217 citations)* Most self-supervised speech models learn only from untranscribed audio and pre-train only an encoder. As a result, they ignore text data and leave decoders for generation tasks untrained. SpeechT5, inspired by T5, treats every spoken language task as turning speech or text into speech or text. A single Transformer… 3. **[Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/)** *(2025 · 61 citations)* Seed1.5-Thinking is a reasoning model from ByteDance Seed. It works through an extended chain of thought before giving its answer. The authors identify three factors behind strong reasoning models: training data, a stable RL algorithm and scalable RL infrastructure. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/) ×2 - [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/) ×2 - [Yu Wu](https://md.research.elamur.ai/free/en/authors/yu-wu/) ×2 - [Lingjun Liu](https://md.research.elamur.ai/free/en/authors/lingjun-liu/) - [Mingxuan Wang](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/) - [Qing Li](https://md.research.elamur.ai/free/en/authors/qing-li/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) - [Shuo Ren](https://md.research.elamur.ai/free/en/authors/shuo-ren/) - [Tiantian Fan](https://md.research.elamur.ai/free/en/authors/tiantian-fan/) - [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/) - [Yu Yue](https://md.research.elamur.ai/free/en/authors/yu-yue/) - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) ## 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 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/) ## Cited by Papers of our library cite their works 307 times (of the 141,840 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengyi-wang/cited-by/). Updated 24 October 2026