Elamur Research⌕
☰
home / authors / Weiwei Zhang

Weiwei Zhang

Weiwei Zhang has 2 papers in our library, in 2026, most of them on Code & programming languages, Information retrieval & search, Semantic parsing & meaning representation; often with Davood Rafiei, Yang Liu, Yong Zhang.

2 papers in our library · 2026

OpenAlex · h-index 1 · 3 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #11726

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

🏢Huawei TechnologiesMarkham · Canada2026 · 2 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workComputer Networks and Communications · 2 worksArtificial Intelligence · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 work

🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 1 workInformation retrieval & search · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL (2026 · 1 citation)
    Text-to-SQL systems built on LLMs often receive the entire database schema. This adds irrelevant tables and columns, raises token costs, and encourages hallucinated SQL. The authors treat schema linking as a separate retrieval task. Their goal is to come close to an oracle ("perfect") schema without fixing the SQL…
  2. FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks (2026)
    Hybrid language models pair attention, which handles precise token interactions but scales quadratically, with state-space models (SSMs), which scale linearly but are weaker at fine-grained retrieval.

 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/weiwei-zhang/