---
title: "Ming Zhou — papers of 2019 — 4 papers, the most cited first"
description: "Ming Zhou — papers of 2019: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/ming-zhou/year/2019/"
---
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# Ming Zhou — papers of 2019 — 4 papers, the most cited first

4 papers · [all years of Ming Zhou](https://md.research.elamur.ai/free/en/authors/ming-zhou/#years)

- [Unified Language Model Pre-training for Natural Language Understanding and Generation arXiv:1905.03197](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/) — Li Dong, Nan Yang, Wenhui Wang, et al. · 2019 · 1,422 citations
- [LayoutLM: Pre-training of Text and Layout for Document Image Understanding arXiv:1912.13318](https://md.research.elamur.ai/free/en/papers/xu-2019-layoutlm-pre-training-text-layout/) — Yiheng Xu, Minghao Li, Lei Cui, et al. · 2019 · 896 citations

**[HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 451 citations*

**[Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoyang Huang, Yaobo Liang, Nan Duan, et al.*2019 · 265 citations*
