---
title: "Ming Hu · Monash University — author profile and papers"
description: "Ming Hu, Monash University: 2 papers on Elamur Research (2026), h-index 16 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ming-hu/"
---
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# Ming Hu

Ming Hu has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Cheng Wang](https://md.research.elamur.ai/free/en/authors/cheng-wang/), [Feilong Tang](https://md.research.elamur.ai/free/en/authors/feilong-tang/), [Imran Razzak](https://md.research.elamur.ai/free/en/authors/imran-razzak/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5020111214) · [ORCID](https://orcid.org/0000-0002-5288-2936) · [**h-index 16**](https://openalex.org/authors/A5020111214) · [69 works](https://openalex.org/works?filter=author.id:A5020111214) · [914 citations](https://openalex.org/works?filter=author.id:A5020111214&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ming-hu/#papers) · [⭐ Paper Stars ranking: #13055](https://md.research.elamur.ai/free/en/paper-stars/page/131/#star-13055)

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

## Affiliations

[🎓**Monash University** Melbourne · Australia 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🎓**National Taiwan University** Taipei · Taiwan 2010–2025 · 25 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2005–2008 · 4 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Sichuan University** Chengdu · China 2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2009–2010 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of Toronto** Toronto · Canada 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 7 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/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/)

🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ming-hu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification](https://md.research.elamur.ai/free/en/papers/wu-2026-tags-test-time-generalist-specialist/)** *(2026 · 1 citation)* The paper targets a weakness of LLMs in medical question answering. Prompting tricks such as Chain-of-Thought tend to give shallow or unstable reasoning, and fine-tuned medical models struggle when the data distribution shifts. The authors propose TAGS, which runs purely at inference time and changes no model…
2. **[SPIDE: Serial and Parallel Intertwined Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xu-2026-spide-serial-parallel-intertwined-speculative/)** *(2026)* The paper targets two weaknesses of speculative decoding (SD) for LLMs. Classic "draft-then-verify" pipelines run strictly in sequence, which caps the speedup. Fully parallel schemes such as PEARL keep the large target model busy almost constantly, which raises the cost of using it. SPIDE is a training-free framework…

## Co-authors here

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

- [Cheng Wang](https://md.research.elamur.ai/free/en/authors/cheng-wang/)
- [Feilong Tang](https://md.research.elamur.ai/free/en/authors/feilong-tang/)
- [Imran Razzak](https://md.research.elamur.ai/free/en/authors/imran-razzak/)
- [Jianzhong Qi](https://md.research.elamur.ai/free/en/authors/jianzhong-qi/)
- [Shoaib Jameel](https://md.research.elamur.ai/free/en/authors/shoaib-jameel/)
- [Yutong Xie](https://md.research.elamur.ai/free/en/authors/yutong-xie/)
- [Zongyuan Ge](https://md.research.elamur.ai/free/en/authors/zongyuan-ge/)

## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

Updated 2 November 2026
