🧑‍🔬 Hao Xuan Tan

🏛️ Affiliations

🎓Xiangtan UniversityXiangtan · China2026 · 1 papercurrent🎓University of North Carolina at Chapel HillChapel Hill · United States2017–2022 · 20 papers🏢Adobe SystemsSan Jose · United States2019–2025 · 6 papers🎓Sichuan UniversityChengdu · China2025 · 3 papers🔬State Key Laboratory of Hydraulics and Mountain River EngineeringChengdu2025 · 3 papers🎓Southern University of Science and TechnologyShenzhen · China2016–2021 · 3 papersEducation 2016–2020 · Bachelor, Computer ScienceEmployment 2020–2021 · Research Assistant, Computer Science and Engineering🏢Dongfeng Motor GroupWuhan · China2017–2018 · 2 papers🎓University of LeedsLeeds · United Kingdom2021Education since 2021 · Doctor of Philosophy, School of Computing

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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. LXMERT: Learning Cross-Modality Encoder Representations from Transformers (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 (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 TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Tan, Mohit Bansal2019 · 2,789 citations
2. Learning to Navigate Unseen Environments: Back Translation with Environmental DropoutConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Tan, Licheng Yu, Mohit Bansal2019 · 358 citations
3. Unifying Vision-and-Language Tasks via Text Generation ↗arXiv (Cornell University) · no summary yetJaemin Cho et al.2021 · 317 citations
4. A Joint Speaker-Listener-Reinforcer Model for Referring Expressions ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLicheng Yu et al.2017 · 269 citations
5. How Much Can CLIP Benefit Vision-and-Language Tasks? ↗arXiv (Cornell University) · no summary yetSheng Shen et al.2021 · 220 citations
6. Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHao Tan, Mohit Bansal2020 · 120 citations
7. Envedit: Environment Editing for Vision-and-Language Navigation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJialu Li, Hao Xuan Tan, Mohit Bansal2022 · 102 citations
8. Scaling Data Generation in Vision-and-Language Navigation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZun Wang et al.2023 · 78 citations
9. Expressing Visual Relationships via Language ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHao Tan et al.2019 · 71 citations
10. Diagnosing the Environment Bias in Vision-and-Language Navigation ↗International Joint Conference on Artificial Intelligence · no summary yetYubo Zhang, Hao Xuan Tan, Mohit Bansal2020 · 60 citations
11. The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetXiang Zhou et al.2020 · 60 citations
12. Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetHaonan Chen et al.2020 · 50 citations
13. Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJialu Li, Hao Tan, Mohit Bansal2021 · 37 citations
14. VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning ↗arXiv (Cornell University) · no summary yetHao Xuan Tan et al.2021 · 37 citations
15. Modality-Balanced Models for Visual Dialogue ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHyounghun Kim, Hao Xuan Tan, Mohit Bansal2020 · 30 citations
16. ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetHyounghun Kim et al.2020 · 26 citations
17. Source-Target Inference Models for Spatial Instruction Understanding ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHao Xuan Tan, Mohit Bansal2018 · 24 citations
18. VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer ↗arXiv (Cornell University) · no summary yetZineng Tang et al.2021 · 20 citations
19. Object Ordering with Bidirectional Matchings for Visual Reasoning ↗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 yetHao Tan, Mohit Bansal2018 · 13 citations

🤝 Co-authors here

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

• Mohit Bansal ×2
• 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) ×3: 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): 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 →.

Updated 30 October 2026

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