---
title: "Chenjun Xiao — author profile and papers — Elamur Research"
description: "Chenjun Xiao, Chinese University of Hong Kong, Shenzhen: 2 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/chenjun-xiao/"
---
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# Chenjun Xiao

Chenjun Xiao 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/); often with [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/), [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/), [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5026521600) · [ORCID](https://orcid.org/0009-0006-5051-7384) · [**h-index 7**](https://openalex.org/authors/A5026521600) · [43 works](https://openalex.org/works?filter=author.id:A5026521600) · [204 citations](https://openalex.org/works?filter=author.id:A5026521600&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chenjun-xiao/#papers) · [🔗 Cited 944 times in our library](https://md.research.elamur.ai/free/en/authors/chenjun-xiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4175](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4175)

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

## Affiliations

[🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2023–2026 · 7 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**University of Alberta** Edmonton · Canada 2016–2023 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-alberta/) · [🏢**Huawei Technologies** Shenzhen · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏢**Google** Mountain View · United States 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Northeastern University** Shenyang · China 2012–2015 · 3 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Kimi k1.5: Scaling Reinforcement Learning with LLMs](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/)** *(2025 · 431 citations)* Next-token pretraining is limited by how much high-quality text exists. The Kimi Team proposes reinforcement learning as another way to keep scaling: the model creates its own training signal by exploring solutions and receiving rewards. The report describes how they built Kimi k1.5, a multimodal LLM. Training runs…
2. **[Large Language Model-Enhanced Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-model-enhanced-multi/)** *(2026 · 1 citation)* Earlier work prompts a pretrained LLM to pick bandit arms directly, but these agents often explore poorly.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Kimi k1.5: Scaling Reinforcement Learning with LLMs arXiv:2501.12599**Kimi Team, Angang Du, Bofei Gao, et al.*2025 · 431 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/)
2. **[Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning ↗](https://arxiv.org/abs/2504.11354) arXiv:2504.11354 · no summary yet**Haiming Wang et al.*2025 · 92 citations*
3. **[Large Language Model-Enhanced Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-model-enhanced-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahang Sun, Zhiyong Wang, Runhan Yang, et al.*2026 · 1 citation*

## Co-authors here

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

- [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/)
- [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/)
- [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/)
- [Cheng Chen](https://md.research.elamur.ai/free/en/authors/cheng-chen/)
- [Cheng Li](https://md.research.elamur.ai/free/en/authors/cheng-li/)
- [Chenzhuang Du](https://md.research.elamur.ai/free/en/authors/chenzhuang-du/)
- [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/)
- [Congcong Wang](https://md.research.elamur.ai/free/en/authors/congcong-wang/)
- [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/)
- [Zhiyong Wang](https://md.research.elamur.ai/free/en/authors/zhiyong-wang/)
- [Zhongxiang Dai](https://md.research.elamur.ai/free/en/authors/zhongxiang-dai/)

## 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 944 times (of the 149,439 papers whose bibliographies we read); [239 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenjun-xiao/cited-by/).

Updated 1 November 2026
