--- title: "Mingzhe Wang · Tsinghua University — author profile and papers" description: "Mingzhe Wang, Tsinghua University: 2 papers on Elamur Research (2017–2020), h-index 19 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/mingzhe-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mingzhe-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mingzhe Wang # Mingzhe Wang Mingzhe Wang has 2 papers in our library, in 2017–2020, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jia Hao Deng](https://md.research.elamur.ai/free/en/authors/jia-hao-deng/), [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/). 2 papers in our library · 2017–2020 [OpenAlex](https://openalex.org/A5100630730) · [ORCID](https://orcid.org/0000-0002-2153-6766) · [**h-index 19**](https://openalex.org/authors/A5100630730) · [58 works](https://openalex.org/works?filter=author.id:A5100630730) · [977 citations](https://openalex.org/works?filter=author.id:A5100630730&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mingzhe-wang/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/mingzhe-wang/cited-by/) · [⭐ Paper Stars ranking: #7310](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7310) 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=Mingzhe+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mingzhe+Wang) · [dblp](https://dblp.org/search?q=Mingzhe+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Mingzhe+Wang) ## Affiliations [🎓**Tsinghua University** Beijing · China 2018–2025 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2001–2015 · 7 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🔬**China Academy of Railway Sciences** Beijing · China 2003–2024 · 2 papers](https://ror.org/051wv2j09) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**Princeton University** Princeton · United States 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) 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 3 The field of science this work belongs to (OpenAlex fields).[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/) 🧭 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 [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/mingzhe-wang/year/2020/) ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/mingzhe-wang/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[Premise Selection for Theorem Proving by Deep Graph Embedding](https://md.research.elamur.ai/free/en/papers/wang-2017-premise-selection-theorem-proving-deep/)** *(2017 · 106 citations)* Automated theorem provers struggle with large mathematical libraries. Premise selection is a filtering step that picks the few known statements likely to help prove a target conjecture. Earlier learning-based systems for this task processed formulas as strings of characters or tokens. This work instead turns each… 2. **[Learning to Prove Theorems by Learning to Generate Theorems](https://md.research.elamur.ai/free/en/papers/wang-2020-learning-prove-theorems-learning-generate/)** *(2020 · 53 citations)* Neural theorem provers usually learn by imitating human-written formal proofs. Such data is scarce because formalizing mathematics requires rare expertise and a lot of time. Wang and Deng address this bottleneck by adding machine-made training examples. They introduce MetaGen, a learnable generator for the Metamath… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Jia Hao Deng](https://md.research.elamur.ai/free/en/authors/jia-hao-deng/) ×2 - [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/) ## Cited by Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mingzhe-wang/cited-by/). Updated 3 November 2026