---
title: "Zhuo Chen — author profile and papers — Elamur Research"
description: "Zhuo Chen, University of Science and Technology of China: 3 papers on Elamur Research (2023–2025), h-index 40 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/zhuo-chen/"
---
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# Zhuo Chen

Zhuo Chen has 3 papers in our library, in 2023–2025, 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/); often with [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/), [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/), [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/).

3 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5100345092) · [ORCID](https://orcid.org/0000-0002-9011-7928) · [**h-index 40**](https://openalex.org/authors/A5100345092) · [248 works](https://openalex.org/works?filter=author.id:A5100345092) · [8,310 citations](https://openalex.org/works?filter=author.id:A5100345092&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhuo-chen/#papers) · [🔗 Cited 297 times in our library](https://md.research.elamur.ai/free/en/authors/zhuo-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3495](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3495)

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=Zhuo+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhuo+Chen) · [dblp](https://dblp.org/search?q=Zhuo+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Zhuo+Chen)

## Affiliations

[🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2007–2025 · 98 papers*current*](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🔬**Data61** Sydney · Australia 2016–2025 · 41 papers*current*](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**University of Science and Technology of China** Hefei · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**ByteDance** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🔬**China Electric Power Research Institute** Beijing 2025 · 1 paper*current*](https://ror.org/05ehpzy81) · [🏛️**State Administration for Market Regulation** Beijing · China 2025 · 1 paper*current*](https://ror.org/00aaqtw69) · [🏢**Microsoft** Redmond · United States 2017–2024 · 50 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🔬**Information and Communication Technologies Centre** Sydney · Australia 2007–2014 · 46 papers](https://ror.org/034x2fx50) · [🎓**The University of Sydney** Sydney · Australia 2002–2006 · 10 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2014–2018 · 9 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 42 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/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Physiology · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/physiology/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 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/)

## Works by year

### 2020s

[**2025** 1 paper A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) · [**2024** 1 paper Seed-TTS: A Family of High-Quality Versatile Speech Generation Models](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/) · [**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/)

## 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. **[Seed-TTS: A Family of High-Quality Versatile Speech Generation Models](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/)** *(2024 · 69 citations)* ByteDance's Seed Team presents Seed-TTS, a family of large text-to-speech models. The goal is to clone any speaker's voice from a brief reference recording, producing output that listeners cannot tell apart from real human recordings. The main system has four components. A speech tokenizer feeds an autoregressive…
3. **[A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)** *(2025 · 64 citations)* Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common.

## All works

4 works of theirs in our library, the most cited first; 3 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 · 333 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/)
2. [**Seed-TTS: A Family of High-Quality Versatile Speech Generation Models arXiv:2406.02430**Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/)
3. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
4. **[Modeling and Reasoning in Event Calculus using Goal-Directed Constraint Answer Set Programming](https://arxiv.org/abs/2106.14566) arXiv:2106.14566 · original ↗ · no summary yet**Joaquín Arias et al.*2021 · 14 citations*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/)
- [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/)
- [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/)
- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/)
- [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/)
- [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/)
- [Jiawei Chen](https://md.research.elamur.ai/free/en/authors/jiawei-chen/)
- [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/)
- [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/)
- [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/)
- [Yu Wu](https://md.research.elamur.ai/free/en/authors/yu-wu/)
- [Yuanxing Zhang](https://md.research.elamur.ai/free/en/authors/yuanxing-zhang/)

## Cited by

Papers of our library cite their works 297 times (of the 141,840 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhuo-chen/cited-by/).

Updated 24 October 2026
