---
title: "Gang Wang · Nankai University — author profile and papers"
description: "Gang Wang, Nankai University: 2 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/gang-wang/"
---
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# Gang Wang

Gang Wang has 2 papers in our library, in 2025–2026, 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 [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/), [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/), [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5100367320) · [ORCID](https://orcid.org/0000-0003-0387-2501) · [**h-index 6**](https://openalex.org/authors/A5100367320) · [25 works](https://openalex.org/works?filter=author.id:A5100367320) · [114 citations](https://openalex.org/works?filter=author.id:A5100367320&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gang-wang/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/gang-wang/cited-by/) · [⭐ Paper Stars ranking: #10009](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10009)

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

## Affiliations

[🎓**Nankai University** Tianjin · China 2009–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](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 · 1 work](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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/gang-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/gang-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MiMo-Audio: Audio Language Models are Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/team-2025-llm-mimo-audio-audio-language/)** *(2025 · 24 citations)* Most current audio language models need separate fine-tuning for each speech task. This work asks whether the GPT-3 recipe, scaling next-token prediction pretraining, also gives audio models few-shot generalization. The Xiaomi team built MiMo-Audio around a tokenizer designed to keep paralinguistic detail. They used…
2. **[Efficient Learned Data Compression via Dual-Stream Feature Decoupling](https://md.research.elamur.ai/free/en/papers/ma-2026-efficient-learned-data-compression-dual/)** *(2026)* Learned Data Compression (LDC) produces smaller files than classic tools like Gzip or zstd, but it is slow.

## Co-authors here

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

- [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/)
- [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/)
- [Shuhuai Ren](https://md.research.elamur.ai/free/en/authors/shuhuai-ren/)
- [Weiji Zhuang](https://md.research.elamur.ai/free/en/authors/weiji-zhuang/)
- [Xiaomi LLM-Core Team](https://md.research.elamur.ai/free/en/authors/xiaomi-llm-core-team/)
- [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gang-wang/cited-by/).

Updated 1 November 2026
