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Hanqing Zeng

Hanqing Zeng has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Dongqi Fu, Hanghang Tong, Kaveh Hassani.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 13 · 36 works · 1,196 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #13590

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MetaMenlo Park · United States2022–2026 · 9 paperscurrent🎓University of Southern CaliforniaLos Angeles · United States2017–2022 · 17 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. How to Make LMs Strong Node Classifiers? (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 (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?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
  2. TARo: Token-level Adaptive Routing for LLM Test-time AlignmentFindings of the Association for Computational LinguisticsArushi Rai, Qiang Zhang, Hanqing Zeng, et al.2026
  3. Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall ↗arXiv:2609.01532 · no summary yetJacqueline He et al.2026

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hanqing-zeng/