---
title: "Haitao Mi — author profile and papers"
description: "Haitao Mi, Bellevue College: 3 papers on Elamur Research (2008–2024), h-index 19 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/haitao-mi/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haitao-mi/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haitao Mi

# Haitao Mi

Haitao Mi has 3 papers in our library, in 2008–2024, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Liang Huang](https://md.research.elamur.ai/free/en/authors/liang-huang/), [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/), [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/).

3 papers in our library · 2008–2024

current affiliation [Bellevue College](https://ror.org/05gr4yv49), Bellevue, United States; [Tencent (China)](https://md.research.elamur.ai/free/en/companies/tencent/), Shenzhen, China; [HKUST Shenzhen Research Institute](https://ror.org/00sz56h79), Nanshan, China; [The Hong Kong University of Science and Technology (Guangzhou)](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/), Guangzhou, China; [Renmin University of China](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/), Beijing, China; [University of Hong Kong](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/), Pok Fu Lam, Hong Kong

[OpenAlex](https://openalex.org/A5071533156) · [**h-index 19**](https://openalex.org/authors/A5071533156) · [161 works](https://openalex.org/works?filter=author.id:A5071533156) · [1 531 citations](https://openalex.org/works?filter=author.id:A5071533156&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[3 works in our library](https://md.research.elamur.ai/free/en/authors/haitao-mi/#papers) · [860 citations in our library](https://md.research.elamur.ai/free/en/authors/haitao-mi/cited-by/) · 21 more works in our library · [⭐ Paper Star rank #2725](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2725)

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

## Affiliations

- [Tencent (China)](https://md.research.elamur.ai/free/en/companies/tencent/) · Shenzhen, China —current · 2022–2026 on 52 papers
- [Renmin University of China](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · Beijing, China —current · 2026 on 3 papers
- [The Hong Kong University of Science and Technology (Guangzhou)](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) · Guangzhou, China —current · 2026 on 2 papers
- [Bellevue College](https://ror.org/05gr4yv49) · Bellevue, United States —current · 2026 on 1 paper
- [HKUST Shenzhen Research Institute](https://ror.org/00sz56h79) · Nanshan, China —current · 2026 on 1 paper
- [University of Hong Kong](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · Pok Fu Lam, Hong Kong —current · 2026 on 1 paper
- [Soochow University](https://md.research.elamur.ai/free/en/universities/soochow-university/) · Suzhou, China —2023 on 2 papers
- [Ant Group (China)](https://md.research.elamur.ai/free/en/companies/ant-group/) · Hangzhou, China —2021–2022 on 6 papers
- [Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · Beijing, China —2008–2016 on 17 papers
- [IBM (United States)](https://md.research.elamur.ai/free/en/companies/ibm/) · Armonk, United States —2013–2016 on 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

## Topics

[Machine translation 1](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/ge-2024-scaling-synthetic-data-creation-1/)

### 2000s

[**2008** 2 papers](https://md.research.elamur.ai/free/en/authors/haitao-mi/year/2008/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Forest-Based Translation](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation/)** *(2008 · 252 citations)* Tree-based translation takes the 1-best parse of the source sentence as input. A parser error then becomes a translation error. The paper proposes decoding over a packed forest, a compact graph that holds exponentially many parses, instead of the single tree. A k-best list is shown to be a poor substitute: a 50-best…
2. **[Forest-based Translation Rule Extraction](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation-rule-extraction/)** *(2008 · 178 citations)* Syntax-based machine translation systems usually learn their translation rules from a single best parse of each training sentence.
3. **[Scaling Synthetic Data Creation with 1,000,000,000 Personas](https://md.research.elamur.ai/free/en/papers/ge-2024-scaling-synthetic-data-creation-1/)** *(2024 · 160 citations)* LLMs can generate large amounts of synthetic training data, but making that data diverse is much harder. One synthesis prompt yields essentially one output, so variety has to come from varying the prompts. Existing ways of doing that either depend on a small seed corpus or on hand-made lists of topics, and neither…

## Also in our library

21 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

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

- [Liang Huang](https://md.research.elamur.ai/free/en/authors/liang-huang/) ×2
- [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/)
- [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/)
- [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/)
- [Tao Ge](https://md.research.elamur.ai/free/en/authors/tao-ge/)
- [Xiaoyang Wang](https://md.research.elamur.ai/free/en/authors/xiaoyang-wang/)

## Cited by

Papers of our library cite their works 860 times (of the 140 884 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haitao-mi/cited-by/).
