--- title: "Weichuan Wang — author profile and papers in our library" description: "Weichuan Wang, City University of Hong Kong: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/weichuan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weichuan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weichuan Wang # Weichuan Wang Weichuan Wang has 2 papers in our library, in 2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Linqi Song](https://md.research.elamur.ai/free/en/authors/linqi-song/), [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/), [Wei Han](https://md.research.elamur.ai/free/en/authors/wei-han/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5021692839) · [**h-index 1**](https://openalex.org/authors/A5021692839) · [8 works](https://openalex.org/works?filter=author.id:A5021692839) · [4 citations](https://openalex.org/works?filter=author.id:A5021692839&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/weichuan-wang/#papers) · [⭐ Paper Stars ranking: #13979](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13979) 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=Weichuan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Weichuan+Wang) · [dblp](https://dblp.org/search?q=Weichuan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Weichuan+Wang) ## Affiliations [🎓**City University of Hong Kong** Hong Kong · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🎓**City University of Hong Kong, Shenzhen Research Institute** Shenzhen · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong-shenzhen-research-institute/) 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 5 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/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/weichuan-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Memo-SQL: Structured Decomposition and Experience-Driven Self-Correction for Training-Free NL2SQL](https://md.research.elamur.ai/free/en/papers/zerui-2026-memo-sql-structured-decomposition-experience/)** *(2026)* Memo-SQL targets two weaknesses of training-free NL2SQL systems built on test-time scaling (TTS). First, when an LLM decomposes questions freely, its runs tend to repeat the same reasoning, so ensembling adds little. Second, self-correction usually depends on fixed few-shot prompts and ignores past mistakes. 2. **[On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)** *(2026)* Modern translation models often sample their outputs with a temperature setting, so the same input can produce different translations on different runs. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Linqi Song](https://md.research.elamur.ai/free/en/authors/linqi-song/) ×2 - [Chen Ma](https://md.research.elamur.ai/free/en/authors/chen-ma/) - [Wei Han](https://md.research.elamur.ai/free/en/authors/wei-han/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026