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

Hao Xuan 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-xuan-tan/#papers) · [🔗 Cited 1,051 times in our library](https://md.research.elamur.ai/free/en/authors/hao-xuan-tan/cited-by/) · [17 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1028](https://md.research.elamur.ai/free/en/paper-stars/page/11/#star-1028)

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+Xuan+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hao+Xuan+Tan) · [dblp](https://dblp.org/search?q=Hao+Xuan+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Hao+Xuan+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 2016–2021 · 3 papersEducation 2016–2020 · Bachelor, Computer ScienceEmployment 2020–2021 · Research Assistant, Computer Science and Engineering](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) · [🎓**University of Leeds** Leeds · United Kingdom 2021Education since 2021 · Doctor of Philosophy, School of Computing](https://md.research.elamur.ai/free/en/universities/university-of-leeds/)

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.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 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](https://md.research.elamur.ai/free/en/authors/hao-xuan-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 · 2,789 citations)* LXMERT tackles a gap in 2019-era research: language and vision each had strong pre-trained backbones, but there was little large-scale pre-training for the two modalities together.
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 · 358 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.

## All works

19 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. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Tan, Mohit Bansal*2019 · 2,789 citations*
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/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hao Tan, Licheng Yu, Mohit Bansal*2019 · 358 citations*
3. **[Unifying Vision-and-Language Tasks via Text Generation ↗](https://arxiv.org/abs/2102.02779) arXiv (Cornell University) · no summary yet**Jaemin Cho et al.*2021 · 317 citations*
4. **[A Joint Speaker-Listener-Reinforcer Model for Referring Expressions ↗](https://doi.org/10.1109/cvpr.2017.375) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Licheng Yu et al.*2017 · 269 citations*
5. **[How Much Can CLIP Benefit Vision-and-Language Tasks? ↗](https://arxiv.org/abs/2107.06383) arXiv (Cornell University) · no summary yet**Sheng Shen et al.*2021 · 220 citations*
6. **[Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision ↗](https://aclanthology.org/2020.emnlp-main.162/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hao Tan, Mohit Bansal*2020 · 120 citations*
7. **[Envedit: Environment Editing for Vision-and-Language Navigation ↗](https://doi.org/10.1109/cvpr52688.2022.01497) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jialu Li, Hao Xuan Tan, Mohit Bansal*2022 · 102 citations*
8. **[Scaling Data Generation in Vision-and-Language Navigation ↗](https://doi.org/10.1109/iccv51070.2023.01103) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zun Wang et al.*2023 · 78 citations*
9. **[Expressing Visual Relationships via Language ↗](https://aclanthology.org/P19-1182/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hao Tan et al.*2019 · 71 citations*
10. **[Diagnosing the Environment Bias in Vision-and-Language Navigation ↗](https://doi.org/10.24963/ijcai.2020/124) International Joint Conference on Artificial Intelligence · no summary yet**Yubo Zhang, Hao Xuan Tan, Mohit Bansal*2020 · 60 citations*
11. **[The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions ↗](https://aclanthology.org/2020.emnlp-main.659/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xiang Zhou et al.*2020 · 60 citations*
12. **[Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning ↗](https://doi.org/10.1109/icra40945.2020.9197315) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Haonan Chen et al.*2020 · 50 citations*
13. **[Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information ↗](https://aclanthology.org/2021.naacl-main.82/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Jialu Li, Hao Tan, Mohit Bansal*2021 · 37 citations*
14. **[VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning ↗](https://arxiv.org/abs/2106.11250) arXiv (Cornell University) · no summary yet**Hao Xuan Tan et al.*2021 · 37 citations*
15. **[Modality-Balanced Models for Visual Dialogue ↗](https://doi.org/10.1609/aaai.v34i05.6320) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hyounghun Kim, Hao Xuan Tan, Mohit Bansal*2020 · 30 citations*
16. **[ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments ↗](https://aclanthology.org/2020.findings-emnlp.348/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Hyounghun Kim et al.*2020 · 26 citations*
17. **[Source-Target Inference Models for Spatial Instruction Understanding ↗](https://doi.org/10.1609/aaai.v32i1.12012) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hao Xuan Tan, Mohit Bansal*2018 · 24 citations*
18. **[VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer ↗](https://arxiv.org/abs/2107.02681) arXiv (Cornell University) · no summary yet**Zineng Tang et al.*2021 · 20 citations*
19. **[Object Ordering with Bidirectional Matchings for Visual Reasoning ↗](https://aclanthology.org/N18-2071/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Hao Tan, Mohit Bansal*2018 · 13 citations*

## 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/) ×3: [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [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/)
- Findings of the Association for Computational Linguistics: EMNLP 2020
- IEEE/CVF International Conference on Computer Vision (ICCV)
- International Joint Conference on Artificial Intelligence
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

## Cited by

Papers of our library cite their works 1,051 times (of the 149,439 papers whose bibliographies we read); [83 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hao-xuan-tan/cited-by/).

Updated 30 October 2026