--- title: "Yichao Lu — author profile and papers" description: "Yichao Lu: 2 papers on Elamur Research (2018–2020), h-index 15 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yichao-lu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yichao-lu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yichao Lu # Yichao Lu 2 papers on this site · 2018–2020 Yichao Lu has 2 papers on this site, in 2018–2020, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Phillip Keung](https://md.research.elamur.ai/free/en/authors/phillip-keung/), [Faisal Ladhak](https://md.research.elamur.ai/free/en/authors/faisal-ladhak/), [György Szarvas](https://md.research.elamur.ai/free/en/authors/gyorgy-szarvas/). [OpenAlex](https://openalex.org/A5089283502) · [ORCID](https://orcid.org/0009-0001-2005-1724) · [**h-index 15**](https://openalex.org/authors/A5089283502) · [38 works](https://openalex.org/works?filter=author.id:A5089283502) · [1 295 citations](https://openalex.org/works?filter=author.id:A5089283502&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/yichao-lu/#papers) · [159 citations in our library](https://md.research.elamur.ai/free/en/authors/yichao-lu/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=Yichao+Lu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yichao+Lu) · [dblp](https://dblp.org/search?q=Yichao+Lu) · [ACL Anthology](https://aclanthology.org/search/?q=Yichao+Lu) ## Affiliations - [Fudan University](https://md.research.elamur.ai/free/en/universities/fudan-university/) · Shanghai, China —2016–2023 on 3 papers - [Amazon (United States)](https://md.research.elamur.ai/free/en/companies/amazon/) · Seattle, United States —2018–2021 on 10 papers - [University of Toronto](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · Toronto, Canada —2018–2019 on 5 papers - [University of Pennsylvania](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · Philadelphia, United States —2013–2015 on 5 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Multilingual & cross-lingual NLP 2](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Machine translation 1](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Multilingual Amazon Reviews Corpus](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/)** *(2020 · 255 citations)* Multilingual text classification lacks large, openly available benchmarks. Existing options such as RCV1/RCV2, MLDoc, XNLI, Yelp and earlier Amazon review releases are small, hard to obtain, missing non-English training data, unreliable about language labels, or lacking fixed splits. The authors address this gap with… 2. **[A neural interlingua for multilingual machine translation](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/)** *(2018 · 178 citations)* Multilingual NMT usually takes one of two routes. One trains a separate model for every language pair, so the number of models grows quadratically. The other shares a single encoder-decoder and a joint vocabulary, which forces many languages into one fixed-size output layer. Lu et al. (Amazon) propose a middle path.… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Phillip Keung](https://md.research.elamur.ai/free/en/authors/phillip-keung/) ×2 - [Faisal Ladhak](https://md.research.elamur.ai/free/en/authors/faisal-ladhak/) - [György Szarvas](https://md.research.elamur.ai/free/en/authors/gyorgy-szarvas/) - [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) ## Cited by Papers of our library cite their works 159 times (of the 140 884 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yichao-lu/cited-by/).