--- title: "Meng Zhang — author profile and papers" description: "Meng Zhang, Queen Mary University of London: 2 papers on Elamur Research (2017–2020), h-index 7 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/meng-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/meng-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Meng Zhang # Meng Zhang 2 papers on this site · 2017–2020 current affiliation [Queen Mary University of London](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/), London, United Kingdom; [Tohoku University](https://md.research.elamur.ai/free/en/universities/tohoku-university/), Sendai, Japan Meng Zhang has 2 papers on this site, in 2017–2020, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/), [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/), [Huanbo Luan](https://md.research.elamur.ai/free/en/authors/huanbo-luan/). [OpenAlex](https://openalex.org/A5114763084) · [ORCID](https://orcid.org/0009-0002-9009-9149) · [**h-index 7**](https://openalex.org/authors/A5114763084) · [22 works](https://openalex.org/works?filter=author.id:A5114763084) · [595 citations](https://openalex.org/works?filter=author.id:A5114763084&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/meng-zhang/#papers) · [246 citations in our library](https://md.research.elamur.ai/free/en/authors/meng-zhang/cited-by/) 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=Meng+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Meng+Zhang) · [dblp](https://dblp.org/search?q=Meng+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Meng+Zhang) ## Affiliations - [Queen Mary University of London](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · London, United Kingdom —current · 2024–2026 on 5 papers - [Tohoku University](https://md.research.elamur.ai/free/en/universities/tohoku-university/) · Sendai, Japan —current · 2012–2026 on 3 papers - [Huawei Technologies (China)](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · Shenzhen, China —2021–2022 on 2 papers - [Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · Beijing, China —2008 on 2 papers - [Institute of Automation](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · Beijing, China —2008 on 2 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. ## Topics [Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/) ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/) ## Papers The most cited first (OpenAlex and our library). 1. **[Adversarial Training for Unsupervised Bilingual Lexicon Induction](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/)** *(2017 · 359 citations)* Bilingual lexicon induction usually depends on cross-lingual supervision to connect independently trained word embedding spaces, such as a parallel corpus or a seed dictionary of hundreds to thousands of word pairs. 2. **[Word-level Textual Adversarial Attacking as Combinatorial Optimization](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/)** *(2020 · 338 citations)* Word substitution attacks on text classifiers can be framed as combinatorial optimization. This paper splits the task into two stages: first narrowing the space of candidate perturbations, then searching that space for an input that changes the model's prediction. The authors argue that earlier attacks struggled at… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) ×2 - [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/) - [Huanbo Luan](https://md.research.elamur.ai/free/en/authors/huanbo-luan/) - [Qun Liu](https://md.research.elamur.ai/free/en/authors/qun-liu/) - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) - [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) ## Cited by Papers of our library cite their works 246 times (of the 140 884 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/meng-zhang/cited-by/).