--- title: "Hongyuan Mei — author profile and papers · Reasoning" description: "Hongyuan Mei, Toyota Technological Institute at Chicago: 3 papers on Elamur Research (2016–2026), h-index 11 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hongyuan-mei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hongyuan-mei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hongyuan Mei # Hongyuan Mei Hongyuan Mei has 3 papers in our library, in 2016–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bang Liu](https://md.research.elamur.ai/free/en/authors/bang-liu/), [Chenhao Tan](https://md.research.elamur.ai/free/en/authors/chenhao-tan/), [Fan Zhou](https://md.research.elamur.ai/free/en/authors/fan-zhou/). 3 papers in our library · 2016–2026 [OpenAlex](https://openalex.org/A5070368916) · [ORCID](https://orcid.org/0000-0002-9426-6808) · [**h-index 11**](https://openalex.org/authors/A5070368916) · [68 works](https://openalex.org/works?filter=author.id:A5070368916) · [1,165 citations](https://openalex.org/works?filter=author.id:A5070368916&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/#papers) · [🔗 Cited 217 times in our library](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4872](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4872) 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=Hongyuan+Mei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongyuan+Mei) · [dblp](https://dblp.org/search?q=Hongyuan+Mei) · [ACL Anthology](https://aclanthology.org/search/?q=Hongyuan+Mei) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2008–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Toyota Technological Institute at Chicago** Chicago · United States 2016–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/toyota-technological-institute-at-chicago/) · [🏛️**Ministry of Industry and Information Technology** Beijing · China 2020–2026 · 10 papers*current*](https://ror.org/0385nmy68) · [🎓**Johns Hopkins University** Baltimore · United States 2016–2021 · 8 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of Chicago** Chicago · United States 2016–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chicago/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/year/2023/) ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/)** *(2016 · 353 citations)* The paper addresses selective generation: turning a database with many redundant event records into a short natural-language text. 2. **[Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/)** *(2023 · 44 citations)* The paper asks whether large language models can help forecast real-world events in time-stamped sequences, such as political interactions between G20 entities, where each event carries text like a news headline. 3. **[Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science](https://md.research.elamur.ai/free/en/papers/wu-2026-seeing-beyond-words-matvqa-challenging/)** *(2026)* Existing materials-science QA benchmarks such as MaScQA and SciQA are mostly text-only. They do not test whether multimodal models can read experimental figures and reason about them at a research level. The authors present MatVQA, a benchmark of 1,672 multiple-choice questions built from recent arXiv materials… ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2016 · 353 citations* 2. **[Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences ↗](https://arxiv.org/abs/1506.04089) arXiv:1506.04089 · no summary yet**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2015 · 232 citations* 3. **[Coherent Dialogue with Attention-Based Language Models ↗](https://doi.org/10.1609/aaai.v31i1.10961) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2017 · 109 citations* 4. **[Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.*2023 · 44 citations* 5. **[Accurate Vision-based Vehicle Localization using Satellite Imagery ↗](https://arxiv.org/abs/1510.09171) arXiv (Cornell University) · no summary yet**Hang Chu et al.*2015 · 9 citations* 6. **[Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science](https://md.research.elamur.ai/free/en/papers/wu-2026-seeing-beyond-words-matvqa-challenging/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sifan Wu, Huan Zhang, Yizhan Li, et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bang Liu](https://md.research.elamur.ai/free/en/authors/bang-liu/) - [Chenhao Tan](https://md.research.elamur.ai/free/en/authors/chenhao-tan/) - [Fan Zhou](https://md.research.elamur.ai/free/en/authors/fan-zhou/) - [Huan Zhang](https://md.research.elamur.ai/free/en/authors/huan-zhang/) - [James Y. Zhang](https://md.research.elamur.ai/free/en/authors/james-y-zhang/) - [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/) - [Kangrui Wang](https://md.research.elamur.ai/free/en/authors/kangrui-wang/) - [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) - [Xiaoming Shi](https://md.research.elamur.ai/free/en/authors/xiaoming-shi/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2016](https://md.research.elamur.ai/free/en/venues/naacl/2016/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 217 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/cited-by/). Updated 2 November 2026