---
title: "Qiang Zhou · Alibaba Group — author profile and papers"
description: "Qiang Zhou, Alibaba Group: 2 papers on Elamur Research (2022–2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/qiang-zhou/"
---
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# Qiang Zhou

Qiang Zhou has 2 papers in our library, in 2022–2026, most of them on [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Cheng Yu](https://md.research.elamur.ai/free/en/authors/cheng-yu/), [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5122084094) · [**h-index 1**](https://openalex.org/authors/A5122084094) · [7 works](https://openalex.org/works?filter=author.id:A5122084094) · [2 citations](https://openalex.org/works?filter=author.id:A5122084094&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qiang-zhou/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #10745](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10745)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech act theory · 1 work](https://md.research.elamur.ai/free/en/topics/speech-act-theory/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qiang-zhou/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/qiang-zhou/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Unified Thinker: A General Reasoning Core for Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-unified-thinker-general-reasoning-core/)** *(2026 · 3 citations)* Open-source image generators and editors still struggle with instructions that require real reasoning, such as solving a puzzle or inferring an implicit intent.
2. **[Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision](https://md.research.elamur.ai/free/en/papers/su-2022-speaker-clustering-textual-dialogue-pairwise/)** *(2022 · 1 citation)* The paper tackles a gap in dialogue data: many multi-party transcripts, such as subtitles, contain the utterances but not who spoke them. The authors frame speaker recovery as clustering. Utterances are grouped so that each group belongs to one real speaker, with no preset list of candidates.

## Co-authors here

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

- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Cheng Yu](https://md.research.elamur.ai/free/en/authors/cheng-yu/)
- [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/)
- [Junpeng Ma](https://md.research.elamur.ai/free/en/authors/junpeng-ma/)
- [Tiezheng Ge](https://md.research.elamur.ai/free/en/authors/tiezheng-ge/)
- [Yue Cao](https://md.research.elamur.ai/free/en/authors/yue-cao/)
- [Zhou Zhao](https://md.research.elamur.ai/free/en/authors/zhou-zhao/)

## 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/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2022](https://md.research.elamur.ai/free/en/venues/coling/2022/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
