--- title: "Qi He — author profile and papers — Elamur Research" description: "Qi He, Microsoft: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qi-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qi-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qi He # Qi He Qi He has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/), [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/), [Fali Wang](https://md.research.elamur.ai/free/en/authors/fali-wang/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139789436) · [**h-index 1**](https://openalex.org/authors/A5139789436) · [3 works](https://openalex.org/works?filter=author.id:A5139789436) · [1 citations](https://openalex.org/works?filter=author.id:A5139789436&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qi-he/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/qi-he/cited-by/) · [⭐ Paper Stars ranking: #10504](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10504) 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=Qi+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qi+He) · [dblp](https://dblp.org/search?q=Qi+He) · [ACL Anthology](https://aclanthology.org/search/?q=Qi+He) ## Affiliations [🏢**Microsoft** Redmond · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Building and Construction · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/building-and-construction/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/qi-he/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ni-2026-streasoner-empowering-llms-spatio-temporal/)** *(2026 · 3 citations)* LLMs are increasingly applied to time-series domains. Yet settings such as traffic networks, power grids or epidemic spread need more than point forecasts. Decision-makers want to know the cause, location and timing of events, which means linking signals across graph-connected nodes while accounting for propagation… 2. **[Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data](https://md.research.elamur.ai/free/en/papers/lu-2026-can-llm-agents-simulate-multi/)** *(2026 · 2 citations)* Studies of LLM agents that imitate people have mostly asked whether their behavior looks believable to human judges. 3. **[Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations](https://md.research.elamur.ai/free/en/papers/luo-2026-graph-assisted-large-language-models/)** *(2026)* This survey asks how graph structures can offset three built-in weaknesses of large language models. The first is knowledge: static training leads to outdated facts, errors, and unwanted memorization. The second is reasoning: token-by-token generation produces linear chains that cannot branch or backtrack. The third… ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/) - [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/) - [Fali Wang](https://md.research.elamur.ai/free/en/authors/fali-wang/) - [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) - [Jiahao Zhang](https://md.research.elamur.ai/free/en/authors/jiahao-zhang/) - [Jing Huang](https://md.research.elamur.ai/free/en/authors/jing-huang/) - [Ming Jin](https://md.research.elamur.ai/free/en/authors/ming-jin/) - [Minhua Lin](https://md.research.elamur.ai/free/en/authors/minhua-lin/) - [Shiyu Wang](https://md.research.elamur.ai/free/en/authors/shiyu-wang/) - [Sisong Bei](https://md.research.elamur.ai/free/en/authors/sisong-bei/) - [Suhang Wang](https://md.research.elamur.ai/free/en/authors/suhang-wang/) - [Xianfeng Tang](https://md.research.elamur.ai/free/en/authors/xianfeng-tang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [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/) ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/qi-he/cited-by/). Updated 1 November 2026