--- title: "Hanqing Zeng — author profile and papers — Elamur Research" description: "Hanqing Zeng, Meta: 2 papers on Elamur Research (2026), h-index 13 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hanqing-zeng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hanqing-zeng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hanqing Zeng # Hanqing Zeng Hanqing Zeng has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Dongqi Fu](https://md.research.elamur.ai/free/en/authors/dongqi-fu/), [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/), [Kaveh Hassani](https://md.research.elamur.ai/free/en/authors/kaveh-hassani/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5014103790) · [ORCID](https://orcid.org/0000-0002-2578-2147) · [Wikidata](https://www.wikidata.org/wiki/Q130837196) · [**h-index 13**](https://openalex.org/authors/A5014103790) · [36 works](https://openalex.org/works?filter=author.id:A5014103790) · [1,196 citations](https://openalex.org/works?filter=author.id:A5014103790&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hanqing-zeng/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13590](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13590) 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=Hanqing+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hanqing+Zeng) · [dblp](https://dblp.org/search?q=Hanqing+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Hanqing+Zeng) ## Affiliations [🏢**Meta** Menlo Park · United States 2022–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Southern California** Los Angeles · United States 2017–2022 · 17 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Statistical and Nonlinear Physics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) 🧭 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/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hanqing-zeng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/)** *(2026)* The paper asks whether standard, instruction-tuned text-to-text LMs can classify nodes in Text-Attributed Graphs (TAGs) as well as specialized graph models, without changing the LM's architecture. 2. **[TARo: Token-level Adaptive Routing for LLM Test-time Alignment](https://md.research.elamur.ai/free/en/papers/rai-2026-taro-token-level-adaptive-routing/)** *(2026)* Test-time alignment steers a frozen LLM during decoding with a smaller reward model, avoiding expensive post-training such as RLVR. ## All works 3 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. **[How to Make LMs Strong Node Classifiers?](https://md.research.elamur.ai/free/en/papers/xu-2026-how-make-lms-strong-node/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Xu, Kaveh Hassani, Si Zhang, et al.*2026* 2. **[TARo: Token-level Adaptive Routing for LLM Test-time Alignment](https://md.research.elamur.ai/free/en/papers/rai-2026-taro-token-level-adaptive-routing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arushi Rai, Qiang Zhang, Hanqing Zeng, et al.*2026* 3. **[Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall ↗](https://arxiv.org/abs/2609.01532) arXiv:2609.01532 · no summary yet**Jacqueline He et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Dongqi Fu](https://md.research.elamur.ai/free/en/authors/dongqi-fu/) - [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/) - [Kaveh Hassani](https://md.research.elamur.ai/free/en/authors/kaveh-hassani/) - [Michihiro Yasunaga](https://md.research.elamur.ai/free/en/authors/michihiro-yasunaga/) - [Qiang Zhang](https://md.research.elamur.ai/free/en/authors/qiang-zhang/) - [Yunkai Zhang](https://md.research.elamur.ai/free/en/authors/yunkai-zhang/) - [Zhe Xu](https://md.research.elamur.ai/free/en/authors/zhe-xu/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026