🧑‍🔬 Zhaoyu Li

🏛️ Affiliations

🎓The University of Western AustraliaPerth · Australia2023–2026 · 7 papersEmploymentcurrent🎓Hebei University of TechnologyTianjin · China2026 · 1 papercurrent🏥Mayo Clinic in FloridaJacksonville · United States2012–2019 · 11 papersEmployment since 2012🏥Mayo Clinic Comprehensive Cancer Center (Florida)Jacksonville2015–2019 · 9 papers🎓University of PennsylvaniaPhiladelphia · United States2007–2014 · 9 papersEducation 2007–2012Employment 2012🎓University of AlbertaEdmonton · Canada2001–2011 · 9 papersEducation 2001–2006🏛️Canadian Institutes of Health ResearchOttawa · Canada2006–2007 · 5 papers🎓University of MissouriColumbia · United States2017–2021 · 4 papers🔬Mayo ClinicRochester · United States2016–2018 · 4 papers🎓Capital Medical UniversityBeijing · China2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 25 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. A Survey on Deep Learning for Theorem Proving (2024 · 46 citations)
   Research applying neural methods, and especially large language models, to mathematical proof has grown quickly.
2. Autoformalizing Euclidean Geometry (2024 · 23 citations)
   The paper addresses autoformalization, which means converting human-written mathematics into statements and proofs that a machine can check.
3. Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency (2024 · 19 citations)
   The paper addresses a weakness in LLM-based autoformalization, the task of turning natural-language math statements into formal theorems (here, Isabelle/HOL).
4. Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning (2025 · 11 citations)
   The paper tackles automated formal proving of elementary algebraic inequalities from math Olympiads. Pure LLM provers struggle because formal proof data is scarce and the tactic space is huge. Symbolic methods such as cylindrical algebraic decomposition scale poorly and give opaque, non-readable proofs. The authors…

🤝 Co-authors here

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

• Kaiyu Yang ×3
• Xian Zhang ×3
• Xujie Si ×3
• Zenan Li ×3
• Fan Yang ×2
• Jialiang Sun ×2
• Logan Murphy ×2
• Xiaoxing Ma ×2
• Anima Anandkumar
• Yifan Wu
• Yuan Yao

Venues

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

• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024

🔗 Cited by

Papers of our library cite their works 88 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated 3 November 2026

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