---
title: "Changjiang Gao — author profile and papers in our library"
description: "Changjiang Gao, City University of Hong Kong: 2 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/changjiang-gao/"
---
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# Changjiang Gao

Changjiang Gao 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Shujian Huang](https://md.research.elamur.ai/free/en/authors/shujian-huang/), [Fei Yuan](https://md.research.elamur.ai/free/en/authors/fei-yuan/), [Jiajun Chen](https://md.research.elamur.ai/free/en/authors/jiajun-chen/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5101366865) · [ORCID](https://orcid.org/0009-0001-0763-8854) · [**h-index 2**](https://openalex.org/authors/A5101366865) · [22 works](https://openalex.org/works?filter=author.id:A5101366865) · [27 citations](https://openalex.org/works?filter=author.id:A5101366865&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/changjiang-gao/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/changjiang-gao/cited-by/) · [⭐ Paper Stars ranking: #9532](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9532)

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

## Affiliations

[🎓**Nanjing University** Nanjing · China 2023–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/)

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).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Could Thinking Multilingually Empower LLM Reasoning?](https://md.research.elamur.ai/free/en/papers/gao-2025-could-thinking-multilingually-empower-llm/)** *(2025 · 10 citations)* LLMs are usually assumed to reason best in English. Recent evidence shows that some non-English languages can outperform English on reasoning benchmarks. This paper asks how much accuracy could be gained by having a model reason over the same question in many languages and pooling the results.
2. **[ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection](https://md.research.elamur.ai/free/en/papers/gao-2026-explang-improved-exploration-exploitation-llm/)** *(2026 · 4 citations)* Reasoning models are usually post-trained with RL to think in English, even though sampling chains of thought in several languages can yield more varied solutions and higher Pass@k. ExpLang turns the choice of thinking language into an action the model takes itself during RL. The pipeline has three steps:

## Co-authors here

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

- [Shujian Huang](https://md.research.elamur.ai/free/en/authors/shujian-huang/) ×2
- [Fei Yuan](https://md.research.elamur.ai/free/en/authors/fei-yuan/)
- [Jiajun Chen](https://md.research.elamur.ai/free/en/authors/jiajun-chen/)
- [Jixing Li](https://md.research.elamur.ai/free/en/authors/jixing-li/)
- [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/)
- [Wenhao Zhu](https://md.research.elamur.ai/free/en/authors/wenhao-zhu/)
- [Xu Huang](https://md.research.elamur.ai/free/en/authors/xu-huang/)

## Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/changjiang-gao/cited-by/).

Updated 31 October 2026
