---
title: "Haozhan Li — author profile and papers — Elamur Research"
description: "Haozhan Li, Shenyang Jianzhu University: 2 papers on Elamur Research (2025), h-index 4 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/haozhan-li/"
---
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# Haozhan Li

Haozhan Li has 2 papers in our library, in 2025, 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 [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/), [Yuchen Zhang](https://md.research.elamur.ai/free/en/authors/yuchen-zhang/), [Yuxin Zuo](https://md.research.elamur.ai/free/en/authors/yuxin-zuo/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5019298414) · [**h-index 4**](https://openalex.org/authors/A5019298414) · [16 works](https://openalex.org/works?filter=author.id:A5019298414) · [99 citations](https://openalex.org/works?filter=author.id:A5019298414&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haozhan-li/#papers) · [🔗 Cited 170 times in our library](https://md.research.elamur.ai/free/en/authors/haozhan-li/cited-by/) · [⭐ Paper Stars ranking: #6723](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6723)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Shenyang Jianzhu University** Shenyang · China 2026 · 1 paper*current*](https://ror.org/01zr73v18) · [🎓**Communication University of China** Beijing · China 2021–2024 · 7 papers](https://ror.org/04facbs33) · [🔬**State Key Laboratory of Media Convergence and Communication** Beijing 2021–2024 · 5 papers](https://ror.org/0595ys057) · [🎓**Tianjin University of Technology** Tianjin · China 2023 · 2 papers](https://ror.org/00zbe0w13)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/haozhan-li/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models](https://md.research.elamur.ai/free/en/papers/cui-2025-entropy-mechanism-reinforcement-learning-reasoning/)** *(2025 · 101 citations)* Reinforcement learning with verifiable rewards is now a main way to improve LLM reasoning, but scaling it hits a recurring problem. Without explicit regularization, policy entropy falls to almost zero within the first training steps. The model becomes overconfident, stops exploring and its validation accuracy stalls.
2. **[TTRL: Test-Time Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zuo-2025-ttrl-test-time-reinforcement-learning/)** *(2025 · 76 citations)* Reinforcement learning is now a main way to strengthen reasoning in large language models, but it usually needs labeled answers.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) ×2
- [Yuchen Zhang](https://md.research.elamur.ai/free/en/authors/yuchen-zhang/) ×2
- [Yuxin Zuo](https://md.research.elamur.ai/free/en/authors/yuxin-zuo/) ×2
- [Biqing Qi](https://md.research.elamur.ai/free/en/authors/biqing-qi/)
- [Ermo Hua](https://md.research.elamur.ai/free/en/authors/ermo-hua/)
- [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/)
- [Huayu Chen](https://md.research.elamur.ai/free/en/authors/huayu-chen/)
- [Jiacheng Chen](https://md.research.elamur.ai/free/en/authors/jiacheng-chen/)
- [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/)
- [Li Sheng](https://md.research.elamur.ai/free/en/authors/li-sheng/)
- [Lifan Yuan](https://md.research.elamur.ai/free/en/authors/lifan-yuan/)
- [Shang Qu](https://md.research.elamur.ai/free/en/authors/shang-qu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 170 times (of the 149,439 papers whose bibliographies we read); [62 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haozhan-li/cited-by/).

Updated 2 November 2026
