---
title: "Haozhe Wang — author profile and papers · Reasoning"
description: "Haozhe Wang, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/haozhe-wang/"
---
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# Haozhe Wang

Haozhe Wang has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/), [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/), [Daniel Rueckert](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5129733915) · [**h-index 1**](https://openalex.org/authors/A5129733915) · [16 works](https://openalex.org/works?filter=author.id:A5129733915) · [8 citations](https://openalex.org/works?filter=author.id:A5129733915&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haozhe-wang/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/haozhe-wang/cited-by/) · [⭐ Paper Stars ranking: #9541](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9541)

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

## Affiliations

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/)

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 8 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL](https://md.research.elamur.ai/free/en/papers/liu-2025-distillation-pushing-limits-medical-llm/)** *(2025 · 10 citations)* Medical LLMs usually learn to reason through supervised fine-tuning on chain-of-thought (CoT) traces, often distilled from proprietary systems such as GPT-4o.
2. **[Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/)** *(2026 · 4 citations)* Converting scanned pages into structured Markdown is difficult. Pages mix paragraphs, tables, formulas and figures, and a parser must recover both the content and its layout and reading order. The authors identify two obstacles: there is little training data with precise, layout-aware annotation, and supervised…

## Co-authors here

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

- [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/)
- [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/)
- [Daniel Rueckert](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/)
- [Jiazhen Pan](https://md.research.elamur.ai/free/en/authors/jiazhen-pan/)
- [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/)
- [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/)
- [Meng Fang](https://md.research.elamur.ai/free/en/authors/meng-fang/)
- [Wei Chu](https://md.research.elamur.ai/free/en/authors/wei-chu/)
- [Yong Dai](https://md.research.elamur.ai/free/en/authors/yong-dai/)
- [Yuan Qi](https://md.research.elamur.ai/free/en/authors/yuan-qi/)
- [Zhongwei Wan](https://md.research.elamur.ai/free/en/authors/zhongwei-wan/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haozhe-wang/cited-by/).

Updated 1 November 2026
