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Xing Shi

Xing Shi has 2 papers in our library, in 2016–2017, most of them on Machine translation, Syntax & grammar formalisms; often with Kevin Knight, Inkit Padhi, Marjan Ghazvininejad.

2 papers in our library · 2016–2017

OpenAlex · ORCID · h-index 34 · 147 works · 4,271 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 264 times in our library · ⭐ Paper Stars ranking: #2788

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

🎓Tongji UniversityShanghai · China2012–2026 · 47 paperscurrent🎓Southeast UniversityNanjing · China2007–2021 · 53 papers🎓Hunan UniversityChangsha · China2016–2025 · 16 papers🎓University of Southern CaliforniaLos Angeles · United States2015–2020 · 11 papers🏢Alibaba GroupHangzhou · China2017–2024 · 3 papers🎓Tsinghua UniversityBeijing · China2015–2021 · 3 papers🎓Beihang UniversityBeijing · China2019–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Machine translation · 1 workSyntax & grammar formalisms · 1 work

 Works by year

2010s

20171 paperHafez: an Interactive Poetry Generation System20161 paperDoes String-Based Neural MT Learn Source Syntax?

 Papers

The most cited first (OpenAlex and our library).

  1. Does String-Based Neural MT Learn Source Syntax? (2016 · 496 citations)
    Encoder-decoder NMT models see only string pairs, so it is unclear whether they pick up source-language grammar that syntax-based MT systems encode explicitly.
  2. Hafez: an Interactive Poetry Generation System (2017 · 196 citations)
    Hafez is a demo system that writes English sonnet-style poems on any topic a user supplies. It targets three weaknesses of earlier poetry generators: poem quality is hard to evaluate, users cannot steer a draft beyond changing the random seed, and generation is slow. The pipeline builds on the authors' earlier work.…

 Co-authors here

3 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 264 times (of the 141,840 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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