--- title: "Qingfu Zhu — author profile and papers — Elamur Research" description: "Qingfu Zhu, Harbin Institute of Technology: 5 papers on Elamur Research (2025–2026), h-index 10 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/qingfu-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingfu-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingfu Zhu # Qingfu Zhu Qingfu Zhu has 5 papers in our library, in 2025–2026, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/), [Xianzhen Luo](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/), [Dingzirui Wang](https://md.research.elamur.ai/free/en/authors/dingzirui-wang/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100584833) · [ORCID](https://orcid.org/0000-0003-3395-222X) · [**h-index 10**](https://openalex.org/authors/A5100584833) · [64 works](https://openalex.org/works?filter=author.id:A5100584833) · [394 citations](https://openalex.org/works?filter=author.id:A5100584833&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/#papers) · [🔗 Cited 96 times in our library](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/cited-by/) · [⭐ Paper Stars ranking: #8256](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8256) 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=Qingfu+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingfu+Zhu) · [dblp](https://dblp.org/search?q=Qingfu+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Qingfu+Zhu) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2018–2026 · 41 papersEducationEmployment*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🔬**China Institute of Atomic Energy** Beijing · China 2005–2024 · 11 papers](https://ror.org/00v5gqm66) · [🏛️**China National Nuclear Corporation** Beijing · China 2018–2021 · 5 papers](https://ror.org/01d5ymp84) · [🎓**University of California, Santa Barbara** Santa Barbara · United States 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling](https://md.research.elamur.ai/free/en/papers/luo-2025-turning-trash-into-treasure-accelerating/)** *(2025 · 22 citations)* LLM inference is slow because autoregressive decoding emits one token per step, and each step is dominated by memory transfer of billions of weights. 2. **[RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals](https://md.research.elamur.ai/free/en/papers/zhang-2025-rot-enhancing-table-reasoning-iterative/)** *(2025 · 10 citations)* Reasoning LLMs that produce Long CoT have become strong at table question answering. However, building them requires costly training on curated data, and their long outputs tend to lose track of the table and invent cell contents. The authors (Harbin Institute of Technology) propose Row-of-Thought (RoT), a method… 3. **[Scaling Laws for Code: A More Data-Hungry Regime](https://md.research.elamur.ai/free/en/papers/luo-2026-scaling-laws-code-more-data/)** *(2026 · 3 citations)* Scaling laws, which predict validation loss from model size (N), training tokens (D) and compute (C), have mostly been derived on natural language (NL). 4. **[Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards](https://md.research.elamur.ai/free/en/papers/niu-2026-dashboard2code-evaluating-multimodal-models-reconstructing/)** *(2026)* Most multimodal work on visualization-to-code targets static charts. Real data exploration, however, often happens in interactive dashboards. This paper introduces Dashboard2Code, a task in which a model must explore a live dashboard on its own by clicking, hovering, filtering or dragging. It collects screenshots… 5. **[Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format](https://md.research.elamur.ai/free/en/papers/wang-2026-format-adapter-improving-reasoning-capability/)** *(2026)* Parallel test-time scaling (TTS) usually samples many answers using a single reasoning format chosen by a human. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/) ×3 - [Xianzhen Luo](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/) ×3 - [Dingzirui Wang](https://md.research.elamur.ai/free/en/authors/dingzirui-wang/) ×2 - [Xuanliang Zhang](https://md.research.elamur.ai/free/en/authors/xuanliang-zhang/) ×2 - [Baocai Shan](https://md.research.elamur.ai/free/en/authors/baocai-shan/) - [Binhua Li](https://md.research.elamur.ai/free/en/authors/binhua-li/) - [Dongliang Xu](https://md.research.elamur.ai/free/en/authors/dongliang-xu/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Longxu Dou](https://md.research.elamur.ai/free/en/authors/longxu-dou/) - [Qiguang Chen](https://md.research.elamur.ai/free/en/authors/qiguang-chen/) - [Qing Yang](https://md.research.elamur.ai/free/en/authors/qing-yang/) - [Rongyu Cao](https://md.research.elamur.ai/free/en/authors/rongyu-cao/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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 96 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingfu-zhu/cited-by/). Updated 1 November 2026