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Jianhuang Lai

Jianhuang Lai has 2 papers in our library, in 2018–2019, most of them on Machine translation; often with Lijun Wu, Tao Qin, Tie-Yan Liu.

2 papers in our library · 2018–2019

OpenAlex · ORCID · Wikidata · h-index 64 · 522 works · 15,759 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 142 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4033

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Machine translation · 2 works

 Works by year

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. A Study of Reinforcement Learning for Neural Machine Translation (2018 · 234 citations)
    Reinforcement learning can align NMT training with sequence-level metrics such as BLEU. In practice it is unstable, and most earlier evidence came from shallow RNN models. Lijun Wu and colleagues ran a systematic study of RL for deep Transformer models on large datasets: WMT14 English-German, WMT17 English-Chinese…
  2. Exploiting Monolingual Data at Scale for Neural Machine Translation (2019 · 102 citations)
    Back translation (BT) is a standard way to use target-language monolingual text in neural machine translation.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also MatterProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetLijun Wu et al.2018 · 71 citations

 Co-authors here

6 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 142 times (of the 141,840 papers whose bibliographies we read); 7 citing papers with a page here →.

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