---
title: "Ke Xu · Nanjing Normal University — author profile and papers"
description: "Ke Xu, Nanjing Normal University: 2 papers on Elamur Research (2014–2019), h-index 50 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/ke-xu/"
---
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# Ke Xu

Ke Xu has 2 papers in our library, in 2014–2019, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/), [Li Dong](https://md.research.elamur.ai/free/en/authors/li-dong/), [Chuanqi Tan](https://md.research.elamur.ai/free/en/authors/chuanqi-tan/).

2 papers in our library · 2014–2019

[OpenAlex](https://openalex.org/A5100665814) · [ORCID](https://orcid.org/0000-0003-2587-8517) · [Wikidata](https://www.wikidata.org/wiki/Q130821133) · [**h-index 50**](https://openalex.org/authors/A5100665814) · [644 works](https://openalex.org/works?filter=author.id:A5100665814) · [12,050 citations](https://openalex.org/works?filter=author.id:A5100665814&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ke-xu/#papers) · [🔗 Cited 227 times in our library](https://md.research.elamur.ai/free/en/authors/ke-xu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1692](https://md.research.elamur.ai/free/en/paper-stars/page/17/#star-1692)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2002–2026 · 431 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2026 · 41 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**South China University of Technology** Guangzhou · China 2022–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**Southeast University** Nanjing · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🎓**Nanjing Normal University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-normal-university/) · [🎓**Beihang University** Beijing · China 2000–2024 · 45 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🔬**State Key Laboratory of Software Development Environment** Beijing 2009–2024 · 23 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-software-development-environment/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2020–2021 · 16 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2008–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Chongqing University of Posts and Telecommunications** Chongqing · China 2010–2021 · 7 papers](https://ror.org/03dgaqz26)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 55 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 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/) · [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/)

🧭 Topics 1 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2010s

[**2019** 1 paper Visualizing and Understanding the Effectiveness of BERT](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/) · [**2014** 1 paper Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/)** *(2014 · 1,216 citations)* The paper addresses target-dependent sentiment classification on Twitter: given a tweet and one entity mentioned in it, the task is to decide whether the author's attitude toward that entity is positive, negative or neutral.
2. **[Visualizing and Understanding the Effectiveness of BERT](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/)** *(2019 · 221 citations)* Pre-training followed by fine-tuning works well across NLP tasks, but it has not been clear why it trains more easily and generalizes better.

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/dong-2014-adaptive-recursive-neural-network-target/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Li Dong, Furu Wei, Chuanqi Tan, et al.*2014 · 1,216 citations*
2. **[Visualizing and Understanding the Effectiveness of BERT](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yaru Hao, Li Dong, Furu Wei, et al.*2019 · 221 citations*
3. **[Improving Grammatical Error Correction with Machine Translation Pairs](https://aclanthology.org/2020.findings-emnlp.30/) Findings of the Association for Computational Linguistics: EMNLP 2020 · original ↗ · no summary yet**Wangchunshu Zhou et al.*2020 · 63 citations*
4. **[Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models](https://aclanthology.org/2025.acl-long.237/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Kuofeng Gao et al.*2025 · 12 citations*

## Co-authors here

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

- [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) ×2
- [Li Dong](https://md.research.elamur.ai/free/en/authors/li-dong/) ×2
- [Chuanqi Tan](https://md.research.elamur.ai/free/en/authors/chuanqi-tan/)
- [Duyu Tang](https://md.research.elamur.ai/free/en/authors/duyu-tang/)
- [Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/)
- [Yaru Hao](https://md.research.elamur.ai/free/en/authors/yaru-hao/)

## 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 2014](https://md.research.elamur.ai/free/en/venues/acl/2014/)
- [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/)
- Findings of the Association for Computational Linguistics: EMNLP 2020

## Cited by

Papers of our library cite their works 227 times (of the 141,840 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ke-xu/cited-by/).

Updated 24 October 2026
