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Feng Wu

Feng Wu has 2 papers in our library, in 2020–2026, most of them on Language models & pretraining, Sentiment & emotion; often with Bolei He, Can Gao, Haifeng Wang.

2 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 6 · 17 works · 542 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 61 times in our library · ⭐ Paper Stars ranking: #5289

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis (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 (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.

Venues

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

 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 →.

Updated

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