🧑‍🔬 Yu-Feng Li

🏛️ Affiliations

🎓Nanjing UniversityNanjing · China2006–2026 · 74 paperscurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Neuro-Symbolic Data Generation for Math Reasoning (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 (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 ↗International Conference on Machine Learning · no summary yetZhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li2009 · 396 citations
2. Semi-supervised learning using label mean ↗International Conference on Machine Learning · no summary yetYu-Feng Li, James Tin-Yau Kwok, Zhi‐Hua Zhou2009 · 109 citations
3. Learning Safe Prediction for Semi-Supervised Regression ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYu-Feng Li, Hanwen Zha, Zhi‐Hua Zhou2017 · 64 citations
4. NGC: A Unified Framework for Learning with Open-World Noisy Data ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZhi-Fan Wu et al.2021 · 60 citations
5. Risk Minimization in the Presence of Label Noise ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetWei Dong Gao et al.2016 · 56 citations
6. Neuro-Symbolic Data Generation for Math ReasoningConference on Neural Information Processing Systems (NeurIPS)Zenan Li, Zhi Zhou, Yuan Yao, et al.2024 · 14 citations
7. TabularMath: Understanding Math Reasoning over Tables with Large Language ModelsFindings of the Association for Computational LinguisticsShi-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 ×2
• Fan Yang
• Lan-Zhe Guo
• Ming Yang
• Wei Dong
• Xian Zhang
• Xiaoxing Ma
• Yuan Yao
• 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: Findings of the Association for Computational Linguistics 2026
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 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 →.

Updated 3 November 2026

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