---
title: "Jiang Zhou · Tianjin University — author profile and papers"
description: "Jiang Zhou, Tianjin University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jiang-zhou/"
---
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# Jiang Zhou

Jiang Zhou has 3 papers in our library, in 2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/), [Linlong Xu](https://md.research.elamur.ai/free/en/authors/linlong-xu/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139839571) · [**h-index 0**](https://openalex.org/authors/A5139839571) · [3 works](https://openalex.org/works?filter=author.id:A5139839571) · [0 citations](https://openalex.org/works?filter=author.id:A5139839571&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiang-zhou/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/jiang-zhou/cited-by/) · [⭐ Paper Stars ranking: #12396](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12396)

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

## Affiliations

[🎓**Tianjin University** Tianjin · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 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/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jiang-zhou/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/)** *(2026 · 1 citation)* Mainstream LLMs are trained mostly on high-resource languages, so Tibetan remains poorly served despite its millions of speakers and cultural importance. The authors build an end-to-end pipeline to close this gap.
2. **[Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation](https://md.research.elamur.ai/free/en/papers/zhou-2026-incentivizing-parametric-knowledge-reinforcement-learning/)** *(2026 · 1 citation)* Large language models often mistranslate culturally grounded entities such as songs, films, books, places and idioms.
3. **[M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-m-2-po-multi-perspective/)** *(2026)* The paper tackles unreliable reward signals in preference-based alignment of LLMs for machine translation.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2
- [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/) ×2
- [Linlong Xu](https://md.research.elamur.ai/free/en/authors/linlong-xu/) ×2
- [Tianyu Dong](https://md.research.elamur.ai/free/en/authors/tianyu-dong/) ×2
- [Xiaohu Zhao](https://md.research.elamur.ai/free/en/authors/xiaohu-zhao/) ×2
- [Xinwei Wu](https://md.research.elamur.ai/free/en/authors/xinwei-wu/) ×2
- [Yangyang Liu](https://md.research.elamur.ai/free/en/authors/yangyang-liu/) ×2
- [Bo Zeng](https://md.research.elamur.ai/free/en/authors/bo-zeng/)
- [Bojian Xiong](https://md.research.elamur.ai/free/en/authors/bojian-xiong/)
- [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/)
- [Jianxiang Peng](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/)
- [Junru Wu](https://md.research.elamur.ai/free/en/authors/junru-wu/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/jiang-zhou/cited-by/).

Updated 1 November 2026
