---
title: "Haiming Wang — author profile and papers · Reasoning"
description: "Haiming Wang, Beijing Union University: 4 papers on Elamur Research (2023–2025), h-index 45 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/haiming-wang/"
---
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# Haiming Wang

Haiming Wang has 4 papers in our library, in 2023–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/), [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/), [Huajian Xin](https://md.research.elamur.ai/free/en/authors/huajian-xin/).

4 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5100603995) · [ORCID](https://orcid.org/0000-0002-6156-258X) · [**h-index 45**](https://openalex.org/authors/A5100603995) · [354 works](https://openalex.org/works?filter=author.id:A5100603995) · [11,419 citations](https://openalex.org/works?filter=author.id:A5100603995&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/haiming-wang/#papers) · [🔗 Cited 402 times in our library](https://md.research.elamur.ai/free/en/authors/haiming-wang/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5958](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5958)

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=Haiming+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haiming+Wang) · [dblp](https://dblp.org/search?q=Haiming+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Haiming+Wang)

## Affiliations

[🎓**Southeast University** Nanjing · China 1994–2026 · 198 papersEducation 1994–1999 · B.E., Department of Radio EngineeringEducation 1999–2002 · M.E., Department of Radio EngineeringEducation 2004–2009 · PhD., School of Information Science and EngineeringEmployment since 2002 · Professor, School of Information Science and Engineering*current*](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🔬**State Key Laboratory of Millimeter Waves** Nanjing 2005–2026 · 165 papers*current*](https://ror.org/02q1v5910) · [🏢**Lenovo** Beijing · China 2021–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/lenovo/) · [🎓**Tarim University** Aral · China 2025–2026 · 2 papers*current*](https://ror.org/05202v862) · [🤝**Xinjiang Production and Construction Corps** Ürümqi · China 2025–2026 · 2 papers*current*](https://ror.org/03hcmxw73) · [🎓**Beijing Union University** Beijing · China 2026 · 1 paper*current*](https://ror.org/01hg31662) · [🔬**Purple Mountain Laboratories** Nanjing · China 2019–2024 · 51 papers](https://md.research.elamur.ai/free/en/labs/purple-mountain-laboratories/) · [🏢**Nokia** Beijing · China 2005–2010 · 26 papers](https://ror.org/01607kg94) · [🔬**Centro de Investigaciones en Optica** León · Mexico 1994–1998 · 11 papers](https://ror.org/00q8h8k29) · [🎓**Sun Yat-sen University** Guangzhou · China 2021–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 52 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).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haiming-wang/year/2025/) · [**2023** 3 papers](https://md.research.elamur.ai/free/en/authors/haiming-wang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2025-kimina-prover-preview-large-formal/)** *(2025 · 92 citations)* Earlier neural theorem provers for Lean 4 usually combined a language model with explicit search, such as best-first or Monte Carlo tree search.
2. **[LEGO-Prover: Neural Theorem Proving with Growing Libraries](https://md.research.elamur.ai/free/en/papers/wang-2023-lego-prover-neural-theorem-proving/)** *(2023 · 79 citations)* Formal theorem proving is still hard for large language models. Existing LLM-based provers often fail on competition problems at middle-school level. These "plain" provers write each proof as one long monolithic block and treat the available theorem library as fixed. So a lemma proved for one problem cannot help with…
3. **[FIMO: A Challenge Formal Dataset for Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/liu-2023-fimo-challenge-formal-dataset-automated/)** *(2023 · 53 citations)* Neural provers built on large language models still rarely solve olympiad-grade problems. Formal data is scarce and costly to produce, existing benchmarks contain few truly hard items, and most formal datasets lack natural-language counterparts. The authors address this with FIMO, a Lean benchmark drawn from the IMO…
4. **[DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/)** *(2023 · 27 citations)* The order and choice of demonstrations in a prompt strongly affect how well large language models solve multi-step reasoning problems.

## All works

11 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. [**Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning arXiv:2504.11354**Haiming Wang, Mert Unsal, Xiaohan Lin, et al.*2025 · 92 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-kimina-prover-preview-large-formal/)
2. [**LEGO-Prover: Neural Theorem Proving with Growing Libraries arXiv:2310.00656**Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.*2023 · 79 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-lego-prover-neural-theorem-proving/)
3. [**FIMO: A Challenge Formal Dataset for Automated Theorem Proving arXiv:2309.04295**Chengwu Liu, Jianhao Shen, Huajian Xin, et al.*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-fimo-challenge-formal-dataset-automated/)
4. **[DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ↗](https://aclanthology.org/2023.acl-long.706/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Haiming Wang et al.*2023 · 40 citations*
5. **[Process-Driven Autoformalization in Lean 4 ↗](https://arxiv.org/abs/2406.01940) arXiv:2406.01940 · no summary yet**Jianqiao Lu et al.*2024 · 33 citations*
6. **[MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data ↗](https://arxiv.org/abs/2402.08957) arXiv:2402.08957 (ICLR 2024 spotlight) · no summary yet**Yinya Huang et al.*2024 · 29 citations*
7. [**DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning arXiv:2310.02954**Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/)
8. **[Lyra: Orchestrating Dual Correction in Automated Theorem Proving ↗](https://arxiv.org/abs/2309.15806) arXiv:2309.15806 · no summary yet**Chuanyang Zheng et al.*2023 · 24 citations*
9. **[TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models ↗](https://aclanthology.org/2023.emnlp-main.711/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jing Xiong et al.*2023 · 21 citations*
10. **[CombiBench: Benchmarking LLM Capability for Combinatorial Mathematics ↗](https://arxiv.org/abs/2505.03171) arXiv:2505.03171 · no summary yet**Junqi Liu et al.*2025 · 20 citations*
11. **[Proving Theorems Recursively ↗](https://arxiv.org/abs/2405.14414) arXiv:2405.14414 · no summary yet**Haiming Wang et al.*2024 · 19 citations*

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/) ×3
- [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/) ×2
- [Huajian Xin](https://md.research.elamur.ai/free/en/authors/huajian-xin/) ×2
- [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) ×2
- [Lin Li](https://md.research.elamur.ai/free/en/authors/lin-li/) ×2
- [Qingxing Cao](https://md.research.elamur.ai/free/en/authors/qingxing-cao/) ×2
- [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/) ×2
- [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×2
- [Chengming Li](https://md.research.elamur.ai/free/en/authors/chengming-li/)
- [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/)
- [Jian Yin](https://md.research.elamur.ai/free/en/authors/jian-yin/)
- [Jianqiao Lu](https://md.research.elamur.ai/free/en/authors/jianqiao-lu/)

## Venues

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

- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 402 times (of the 149,439 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haiming-wang/cited-by/).

Updated 2 November 2026