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Yi Zheng

Yi Zheng has 3 papers in our library, in 2010–2026, most of them on Semitic languages, Information retrieval & search; often with Abbas Ghaddar, Baoxing Huai, Enhong Chen.

3 papers in our library · 2010–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #8798

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

🎓Fudan UniversityShanghai · China2026 · 1 papercurrent🎓University of EdinburghEdinburgh · United Kingdom2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20231 paper

2010s

20101 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing (2023 · 21 citations)
    Arabic has hundreds of millions of speakers, but its pretrained language models have lagged far behind English and Chinese in scale.
  2. Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier (2010 · 3 citations)
    The paper describes a system for Task 1 of the CoNLL-2010 Shared Task: deciding whether a sentence carries uncertain or hedged information.
  3. PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption (2026)
    Retrieval-Augmented Generation can be hijacked when attackers plant crafted passages in the knowledge base so that the LLM returns an answer they chose.

 Co-authors here

11 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 14 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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