--- title: "Yu-Feng Li · Nanjing University — author profile and papers" description: "Yu-Feng Li, Nanjing University: 2 papers on Elamur Research (2024–2026), h-index 25 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yu-feng-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-feng-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yu-Feng Li # Yu-Feng Li Yu-Feng Li has 2 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Zhi Zhou](https://md.research.elamur.ai/free/en/authors/zhi-zhou/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Lan-Zhe Guo](https://md.research.elamur.ai/free/en/authors/lan-zhe-guo/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100355152) · [ORCID](https://orcid.org/0000-0002-7727-4304) · [Wikidata](https://www.wikidata.org/wiki/Q130800311) · [**h-index 25**](https://openalex.org/authors/A5100355152) · [95 works](https://openalex.org/works?filter=author.id:A5100355152) · [2,767 citations](https://openalex.org/works?filter=author.id:A5100355152&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-feng-li/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/yu-feng-li/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11354](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11354) 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=Yu-Feng+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu-Feng+Li) · [dblp](https://dblp.org/search?q=Yu-Feng+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yu-Feng+Li) ## Affiliations [🎓**Nanjing University** Nanjing · China 2006–2026 · 74 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-feng-li/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-feng-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Neuro-Symbolic Data Generation for Math Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-neuro-symbolic-data-generation-math/)** *(2024 · 14 citations)* The paper asks whether weak LLM performance in mathematics is a basic limitation or a consequence of too little reliable training data. 2. **[TabularMath: Understanding Math Reasoning over Tables with Large Language Models](https://md.research.elamur.ai/free/en/papers/tian-2026-tabularmath-understanding-math-reasoning-over/)** *(2026 · 3 citations)* Most math benchmarks for LLMs use plain-text word problems. Real tasks such as business intelligence or financial reports instead require multi-step arithmetic over tables that may be large, incomplete, or contradictory. Existing table benchmarks rely on manual collection, which limits their scale, and they seldom… ## All works 7 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. **[Multi-instance learning by treating instances as non-I.I.D. samples ↗](https://doi.org/10.1145/1553374.1553534) International Conference on Machine Learning · no summary yet**Zhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li*2009 · 396 citations* 2. **[Semi-supervised learning using label mean ↗](https://doi.org/10.1145/1553374.1553456) International Conference on Machine Learning · no summary yet**Yu-Feng Li, James Tin-Yau Kwok, Zhi‐Hua Zhou*2009 · 109 citations* 3. **[Learning Safe Prediction for Semi-Supervised Regression ↗](https://doi.org/10.1609/aaai.v31i1.10856) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yu-Feng Li, Hanwen Zha, Zhi‐Hua Zhou*2017 · 64 citations* 4. **[NGC: A Unified Framework for Learning with Open-World Noisy Data ↗](https://doi.org/10.1109/iccv48922.2021.00013) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zhi-Fan Wu et al.*2021 · 60 citations* 5. **[Risk Minimization in the Presence of Label Noise ↗](https://doi.org/10.1609/aaai.v30i1.10293) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Wei Dong Gao et al.*2016 · 56 citations* 6. **[Neuro-Symbolic Data Generation for Math Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-neuro-symbolic-data-generation-math/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zenan Li, Zhi Zhou, Yuan Yao, et al.*2024 · 14 citations* 7. **[TabularMath: Understanding Math Reasoning over Tables with Large Language Models](https://md.research.elamur.ai/free/en/papers/tian-2026-tabularmath-understanding-math-reasoning-over/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shi-Yu Tian, Zhi Zhou, Wei Dong, et al.*2026 · 3 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Zhi Zhou](https://md.research.elamur.ai/free/en/authors/zhi-zhou/) ×2 - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Lan-Zhe Guo](https://md.research.elamur.ai/free/en/authors/lan-zhe-guo/) - [Ming Yang](https://md.research.elamur.ai/free/en/authors/ming-yang/) - [Wei Dong](https://md.research.elamur.ai/free/en/authors/wei-dong/) - [Xian Zhang](https://md.research.elamur.ai/free/en/authors/xian-zhang/) - [Xiaoxing Ma](https://md.research.elamur.ai/free/en/authors/xiaoxing-ma/) - [Yuan Yao](https://md.research.elamur.ai/free/en/authors/yuan-yao/) - [Zenan Li](https://md.research.elamur.ai/free/en/authors/zenan-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Machine Learning ×2 - Proceedings of the AAAI Conference on Artificial Intelligence ×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/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yu-feng-li/cited-by/). Updated 3 November 2026