---
title: "Di He — author profile and papers · Machine translation"
description: "Di He, Peking University: 2 papers on Elamur Research (2019), h-index 14 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/di-he/"
---
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# Di He

Di He has 2 papers in our library, in 2019, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/), [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/), [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/).

2 papers in our library · 2019

[OpenAlex](https://openalex.org/A5100739031) · [ORCID](https://orcid.org/0000-0002-0908-9123) · [Wikidata](https://www.wikidata.org/wiki/Q90970671) · [**h-index 14**](https://openalex.org/authors/A5100739031) · [29 works](https://openalex.org/works?filter=author.id:A5100739031) · [1,225 citations](https://openalex.org/works?filter=author.id:A5100739031&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/di-he/#papers) · [🔗 Cited 200 times in our library](https://md.research.elamur.ai/free/en/authors/di-he/cited-by/) · [⭐ Paper Stars ranking: #3953](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3953)

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

## Affiliations

[🎓**Peking University** Beijing · China 2019–2025 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Microsoft** Redmond · United States 2018–2021 · 5 papers](https://md.research.elamur.ai/free/en/companies/microsoft/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 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 3 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2010s

[**2019** 2 papers Di He's papers of 2019](https://md.research.elamur.ai/free/en/authors/di-he/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Representation Degeneration Problem in Training Natural Language Generation Models](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)** *(2019 · 180 citations)* The paper identifies a flaw in neural text generators trained by maximum likelihood with weight tying, where the input embedding matrix is shared with the softmax output layer.
2. **[Multilingual Neural Machine Translation with Language Clustering](https://md.research.elamur.ai/free/en/papers/tan-2019-multilingual-neural-machine-translation-language/)** *(2019 · 172 citations)* Supporting thousands of languages is hard with either extreme: one translation model per language pair is too costly, and a single shared model struggles when its languages are very dissimilar.

## Co-authors here

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

- [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/) ×2
- [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) ×2
- [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/) ×2
- [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/)
- [Yingce Xia](https://md.research.elamur.ai/free/en/authors/yingce-xia/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)

## Cited by

Papers of our library cite their works 200 times (of the 141,840 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/di-he/cited-by/).

Updated 24 October 2026
