---
title: "Dong Zhang — author profile and papers"
description: "Dong Zhang, Xiaomi: 2 papers on Elamur Research (2023), h-index 20 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/dong-zhang/"
---
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# Dong Zhang

Dong Zhang has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/), [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/), [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5100366067) · [ORCID](https://orcid.org/0000-0001-6756-6664) · [**h-index 20**](https://openalex.org/authors/A5100366067) · [98 works](https://openalex.org/works?filter=author.id:A5100366067) · [1,559 citations](https://openalex.org/works?filter=author.id:A5100366067&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dong-zhang/#papers) · [🔗 244 citations in our library](https://md.research.elamur.ai/free/en/authors/dong-zhang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #3242](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3242)

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

## Affiliations

[🏢**Xiaomi** Beijing · China 2026 · 1 paper*current*](https://ror.org/029f7bn57) · [🎓**Harbin Institute of Technology** Harbin · China 2014–2025 · 17 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Fudan University** Shanghai · China 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Soochow University** Suzhou · China 2019–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**South China University of Technology** Guangzhou · China 2015–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🔬**Idiap Research Institute** Martigny-Combe · Switzerland 2005–2007 · 5 papers](https://md.research.elamur.ai/free/en/labs/idiap-research-institute/) · [🎓**Shandong Academy of Sciences** Jinan · China 2019–2023 · 4 papers](https://ror.org/04y8d6y55) · [🎓**Qilu University of Technology** Jinan · China 2022–2023 · 3 papers](https://ror.org/04hyzq608) · [🏢**State Grid Corporation of China** Beijing · China 2015–2022 · 3 papers](https://ror.org/05twwhs70) · [🎓**Shanghai University** Shanghai · China 2008–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghai-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 29 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/dong-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)** *(2023 · 346 citations)* Most systems that let large language models talk chain separate ASR and TTS modules around a text LLM. This design keeps the LLM's knowledge from reaching the speech modality, discards cues such as emotion and prosody, and lets errors pile up between stages. SpeechGPT addresses this by converting speech into discrete…
2. **[SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechtokenizer-unified-speech-tokenizer-speech/)** *(2023 · 51 citations)* Speech large language models rely on discrete tokens of two kinds. Semantic tokens, such as k-means units from HuBERT, follow linguistic content but discard voice traits. Acoustic tokens from neural codecs like EnCodec retain audio detail but correspond poorly to text. The authors first build SLMTokBench, a benchmark…

## Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/) ×2
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/) ×2
- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×2
- [Yaqian Zhou](https://md.research.elamur.ai/free/en/authors/yaqian-zhou/) ×2
- [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/)

## Cited by

Papers of our library cite their works 244 times (of the 140,884 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dong-zhang/cited-by/).
