---
title: "Feng Wu — author profile and papers — Elamur Research"
description: "Feng Wu, Dalian Jiaotong University: 2 papers on Elamur Research (2020–2026), h-index 6 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/feng-wu/"
---
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# Feng Wu

Feng Wu has 2 papers in our library, in 2020–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Bolei He](https://md.research.elamur.ai/free/en/authors/bolei-he/), [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/).

2 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5037295904) · [ORCID](https://orcid.org/0000-0003-4483-0690) · [**h-index 6**](https://openalex.org/authors/A5037295904) · [17 works](https://openalex.org/works?filter=author.id:A5037295904) · [542 citations](https://openalex.org/works?filter=author.id:A5037295904&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/feng-wu/#papers) · [🔗 Cited 61 times in our library](https://md.research.elamur.ai/free/en/authors/feng-wu/cited-by/) · [⭐ Paper Stars ranking: #5289](https://md.research.elamur.ai/free/en/paper-stars/page/53/#star-5289)

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

## Affiliations

[🎓**Dalian Jiaotong University** Dalian · China 2016–2025 · 5 papers*current*](https://ror.org/05gp45n31) · [🎓**University of Science and Technology of China** Hefei · China 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Xuzhou University of Technology** Xuzhou · China 2015–2017 · 2 papers](https://ror.org/02315by94) · [🎓**Dalian University of Technology** Dalian · China 2000–2012 · 2 papers](https://md.research.elamur.ai/free/en/universities/dalian-university-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/feng-wu/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/feng-wu/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/)** *(2020 · 333 citations)* Pre-trained language models such as BERT and RoBERTa learn general representations through word-level objectives.
2. **[Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling](https://md.research.elamur.ai/free/en/papers/xie-2026-escaping-sisyphus-dilemma-experience-replay/)** *(2026)* LLMs can turn natural-language problem descriptions into executable optimization models, such as MILP formulations for solvers like Gurobi.

## Co-authors here

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

- [Bolei He](https://md.research.elamur.ai/free/en/authors/bolei-he/)
- [Can Gao](https://md.research.elamur.ai/free/en/authors/can-gao/)
- [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/)
- [Hao Liu](https://md.research.elamur.ai/free/en/authors/hao-liu/)
- [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/)
- [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/)
- [Xiangyang Li](https://md.research.elamur.ai/free/en/authors/xiangyang-li/)
- [Xinyan Xiao](https://md.research.elamur.ai/free/en/authors/xinyan-xiao/)

## 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/): [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 61 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/feng-wu/cited-by/).

Updated 2 November 2026
