---
title: "Hao Tan · Xiangtan University — author profile and papers"
description: "Hao Tan, Xiangtan University: 2 papers on Elamur Research (2019), h-index 20 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/hao-tan/"
---
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# Hao Tan

Hao Tan has 2 papers in our library, in 2019, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/), [Licheng Yu](https://md.research.elamur.ai/free/en/authors/licheng-yu/).

2 papers in our library · 2019

[OpenAlex](https://openalex.org/A5074267258) · [ORCID](https://orcid.org/0000-0002-9489-6543) · [**h-index 20**](https://openalex.org/authors/A5074267258) · [50 works](https://openalex.org/works?filter=author.id:A5074267258) · [4,076 citations](https://openalex.org/works?filter=author.id:A5074267258&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hao-tan/#papers) · [🔗 Cited 540 times in our library](https://md.research.elamur.ai/free/en/authors/hao-tan/cited-by/) · [⭐ Paper Stars ranking: #917](https://md.research.elamur.ai/free/en/paper-stars/page/10/#star-917)

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=Hao+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hao+Tan) · [dblp](https://dblp.org/search?q=Hao+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Hao+Tan)

## Affiliations

[🎓**Xiangtan University** Xiangtan · China 2026 · 1 paper*current*](https://ror.org/00xsfaz62) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2017–2022 · 20 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🏢**Adobe Systems** San Jose · United States 2019–2025 · 6 papers](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**Sichuan University** Chengdu · China 2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🔬**State Key Laboratory of Hydraulics and Mountain River Engineering** Chengdu 2025 · 3 papers](https://ror.org/02169wb20) · [🎓**Southern University of Science and Technology** Shenzhen · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/) · [🏢**Dongfeng Motor Group** Wuhan · China 2017–2018 · 2 papers](https://ror.org/055ar4y96)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Transformer and attention · 1 work](https://md.research.elamur.ai/free/en/concepts/transformer/)

## Works by year

### 2010s

[**2019** 2 papers Hao Tan's papers of 2019](https://md.research.elamur.ai/free/en/authors/hao-tan/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/)** *(2019 · 2,730 citations)* LXMERT addresses the problem of building a general pre-trained backbone for joint vision-and-language reasoning.
2. **[Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout](https://md.research.elamur.ai/free/en/papers/tan-2019-learning-navigate-unseen-environments-back/)** *(2019 · 347 citations)* The paper addresses instruction-guided navigation in the Room-to-Room (R2R) task, which is built on real Matterport3D indoor scans. Agents for this task usually lose much of their accuracy in houses they never saw during training. The authors propose a two-stage training scheme.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) ×2
- [Licheng Yu](https://md.research.elamur.ai/free/en/authors/licheng-yu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2019](https://md.research.elamur.ai/free/en/venues/naacl/2019/)

## Cited by

Papers of our library cite their works 540 times (of the 141,840 papers whose bibliographies we read); [42 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hao-tan/cited-by/).

Updated 24 October 2026
