---
title: "MingHua Ma — author profile and papers — Elamur Research"
description: "MingHua Ma, Microsoft: 4 papers on Elamur Research (2025–2026), h-index 24 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/minghua-ma/"
---
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# MingHua Ma

MingHua Ma has 4 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/), [Bo Qiao](https://md.research.elamur.ai/free/en/authors/bo-qiao/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5070950193) · [ORCID](https://orcid.org/0000-0002-6303-1731) · [Wikidata](https://www.wikidata.org/wiki/Q130802300) · [**h-index 24**](https://openalex.org/authors/A5070950193) · [77 works](https://openalex.org/works?filter=author.id:A5070950193) · [1,962 citations](https://openalex.org/works?filter=author.id:A5070950193&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/minghua-ma/#papers) · [🔗 Cited 30 times in our library](https://md.research.elamur.ai/free/en/authors/minghua-ma/cited-by/) · [⭐ Paper Stars ranking: #9369](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9369)

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

## Affiliations

[🏢**Microsoft** Redmond · United States 2023–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research Asia** Beijing · China 2022–2024 · 14 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Tsinghua University** Beijing · China 2016–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [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.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/minghua-ma/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/minghua-ma/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[UFO: A UI-Focused Agent for Windows OS Interaction](https://md.research.elamur.ai/free/en/papers/zhang-2025-ufo-ui-focused-agent-windows/)** *(2025 · 38 citations)* Windows is a hard environment for vision-language agents. Its interfaces are dense, its screens are large, and everyday requests often require moving between several programs. The Microsoft authors present UFO, an agent that turns natural-language instructions into executed GUI actions on Windows. It relies on two…
2. **[Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization](https://md.research.elamur.ai/free/en/papers/xueyun-2026-learning-mistakes-negative-reasoning-samples/)** *(2026)* SFT on distilled chain-of-thought data usually relies on rejection sampling, which keeps only trajectories whose final answer is correct.
3. **[PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mu-2026-parif-pushing-pareto-frontier-instruction/)** *(2026)* Large Reasoning Models handle complex problems well but often ignore explicit constraints in user instructions.
4. **[TabGuard: Agentic LLM Orchestration for Adaptive Tabular Anomaly Detection via Dynamic Validator Selection and Generation](https://md.research.elamur.ai/free/en/papers/unnikrishnan-2026-tabguard-agentic-llm-orchestration-adaptive/)** *(2026)* TabGuard tackles column-level anomaly detection in heterogeneous tables, which mix identifiers, numbers, and free text. Rule-based checkers need manual setup for every schema. Statistical detectors miss semantic errors. Running an LLM on every cell costs too much at enterprise scale.

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/)
- [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/)
- [Bo Qiao](https://md.research.elamur.ai/free/en/authors/bo-qiao/)
- [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/)
- [Heng Dong](https://md.research.elamur.ai/free/en/authors/heng-dong/)
- [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/)
- [Ming Liu](https://md.research.elamur.ai/free/en/authors/ming-liu/)
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/)
- [Qingwei Lin](https://md.research.elamur.ai/free/en/authors/qingwei-lin/)
- [Saravan Rajmohan](https://md.research.elamur.ai/free/en/authors/saravan-rajmohan/)
- [Tian Xueyun](https://md.research.elamur.ai/free/en/authors/tian-xueyun/)
- [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/)

## Cited by

Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minghua-ma/cited-by/).

Updated 2 November 2026
