---
title: "Yuhao Zhang — author profile and papers"
description: "Yuhao Zhang, University of Illinois Urbana-Champaign: 4 papers on Elamur Research (2018–2020), h-index 20 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yuhao-zhang/"
---
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# Yuhao Zhang

4 papers on this site · 2018–2020

current affiliation [University of Illinois Urbana-Champaign](https://ror.org/047426m28), Urbana, United States; [Nanjing University of Posts and Telecommunications](https://ror.org/043bpky34), Nanjing, China; [Xi'an Jiaotong University](https://ror.org/017zhmm22), Xi'an, China

Yuhao Zhang has 4 papers on this site, in 2018–2020, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Peng Qi](https://md.research.elamur.ai/free/en/authors/peng-qi/), [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/).

[OpenAlex](https://openalex.org/A5100349352) · [ORCID](https://orcid.org/0009-0006-7281-9770) · [**h-index 20**](https://openalex.org/authors/A5100349352) · [109 works](https://openalex.org/works?filter=author.id:A5100349352) · [4 770 citations](https://openalex.org/works?filter=author.id:A5100349352&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[4 works on this site](https://md.research.elamur.ai/free/en/authors/yuhao-zhang/#papers) · [1 254 citations in our library](https://md.research.elamur.ai/free/en/authors/yuhao-zhang/cited-by/) · 1 more work in our library

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

## Affiliations

- [University of Illinois Urbana-Champaign](https://ror.org/047426m28) · Urbana, United States —current · 2018 on 1 paper
- [Nanjing University of Posts and Telecommunications](https://ror.org/043bpky34) · Nanjing, China —current
- [Xi'an Jiaotong University](https://ror.org/017zhmm22) · Xi'an, China —current
- [Amazon (United States)](https://ror.org/04mv4n011) · Seattle, United States —2022–2026 on 6 papers
- [Stanford University](https://ror.org/00f54p054) · Stanford, United States —2015–2024 on 24 papers
- [University of California, Santa Barbara](https://ror.org/02t274463) · Santa Barbara, United States —2024 on 2 papers
- [Stanford Medicine](https://ror.org/03mtd9a03) · Stanford, United States —2016–2018 on 2 papers
- [Tsinghua University](https://ror.org/03cve4549) · Beijing, China —2012–2014 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Topics

[Machine translation 1](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Information extraction 1](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Summarization 1](https://md.research.elamur.ai/free/en/topics/summarization/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.research.elamur.ai/free/en/papers/ud-2020-qi-stanza-python-natural-language-processing/)** *(2020 · 2 347 citations)* Stanza is a Python toolkit whose pipeline is neural from raw text to dependencies, for 66 languages. It has a combined tokenizer and sentence splitter, multi-word-token expansion (a frequency lexicon with a sequence-to-sequence model), a POS and feature tagger that conditions XPOS and features on UPOS, a lemmatizer…
2. **[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/)** *(2018 · 1 046 citations)* Relation extraction decides whether two entity mentions in a sentence, a subject and an object, are linked by a relation and which one.
3. **[Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)** *(2020 · 240 citations)* Abstractive summarizers trained to match human references can score well on overlap metrics like ROUGE and still state wrong facts.
4. **[The NiuTrans Machine Translation Systems for WMT19](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/)** *(2019 · 92 citations)* This paper documents the NiuTrans team's (Northeastern University and NiuTrans Co., Ltd.) entries to the WMT19 news translation shared task. They covered 13 directions: 11 supervised (EN↔{ZH, DE, RU, KK, LT} and GU→EN) and the unsupervised DE↔CS sub-track.

## Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

## Co-authors here

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

- [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) ×3
- [Peng Qi](https://md.research.elamur.ai/free/en/authors/peng-qi/) ×2
- [Bei Li](https://md.research.elamur.ai/free/en/authors/bei-li/)
- [Chen Xu](https://md.research.elamur.ai/free/en/authors/chen-xu/)
- [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/)
- [Jason Bolton](https://md.research.elamur.ai/free/en/authors/jason-bolton/)
- [Nuo Xu](https://md.research.elamur.ai/free/en/authors/nuo-xu/)

## Cited by

Papers of our library cite their works 1 254 times (of the 140 884 papers whose bibliographies we read); [95 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuhao-zhang/cited-by/).
