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Chengyi Wang

Chengyi Wang has 3 papers in our library, in 2022–2025, most of them on Language models & pretraining, Speech & spoken language, Reasoning; often with Long Zhou, Shujie Liu, Yu Wu.

3 papers in our library · 2022–2025

OpenAlex · ORCID · h-index 40 · 202 works · 6,272 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 307 times in our library · ⭐ Paper Stars ranking: #3026

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

🎓Jiangsu University of Science and TechnologyZhenjiang · China2008–2026 · 5 paperscurrent🎓Duke-NUS Medical SchoolSingapore · Singapore2025–2026 · 2 paperscurrent🎓Harbin Engineering UniversityHarbin · China2025–2026 · 2 paperscurrent🏥Peking University Third HospitalBeijing · China2025–2026 · 2 paperscurrent🎓Jiangsu UniversityZhenjiang · China2026 · 1 papercurrent🎓Shandong UniversityJinan · China2026 · 1 papercurrent🎓University of Science and Technology of ChinaHefei · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2005–2025 · 49 papers🎓Nankai UniversityTianjin · China2017–2025 · 23 papers🔬Institute of Remote Sensing and Digital EarthBeijing · China2015–2022 · 23 papers

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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 worksMedicine · 1 workPhysiology · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksSpeech & spoken language · 1 workReasoning · 1 work

 Works by year

2020s

20251 paperSeed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning20231 paperNeural Codec Language Models are Zero-Shot Text to Speech Synthesizers20221 paperSpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

 Papers

The most cited first (OpenAlex and our library).

  1. Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (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 (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 (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.

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 307 times (of the 141,840 papers whose bibliographies we read); 34 citing papers with a page here →.

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