--- title: "Jianhao Shen — author profile and papers · Reasoning" description: "Jianhao Shen, Shenzhen Technology University: 5 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/jianhao-shen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jianhao-shen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jianhao Shen # Jianhao Shen Jianhao Shen has 5 papers in our library, in 2023–2024, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/), [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/), [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/). 5 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5102723742) · [ORCID](https://orcid.org/0000-0002-4977-7959) · [**h-index 10**](https://openalex.org/authors/A5102723742) · [41 works](https://openalex.org/works?filter=author.id:A5102723742) · [672 citations](https://openalex.org/works?filter=author.id:A5102723742&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/jianhao-shen/#papers) · [🔗 Cited 232 times in our library](https://md.research.elamur.ai/free/en/authors/jianhao-shen/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7108](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7108) 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=Jianhao+Shen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jianhao+Shen) · [dblp](https://dblp.org/search?q=Jianhao+Shen) · [ACL Anthology](https://aclanthology.org/search/?q=Jianhao+Shen) ## Affiliations [🎓**Shenzhen Technology University** Shenzhen · China 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-technology-university/) · [🎓**Peking University** Beijing · China 2018–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Shenzhen University** Shenzhen · China 2017–2021 · 8 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🏢**Huawei Technologies** Shenzhen · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jianhao-shen/year/2024/) · [**2023** 4 papers](https://md.research.elamur.ai/free/en/authors/jianhao-shen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function](https://md.research.elamur.ai/free/en/papers/wang-2023-dt-solver-automated-theorem-proving/)** *(2023 · 40 citations)* Neural theorem provers usually combine a language model that proposes the next tactic with a tree search that assembles a full proof. 3. **[Process-Driven Autoformalization in Lean 4](https://md.research.elamur.ai/free/en/papers/lu-2024-process-driven-autoformalization-lean-4/)** *(2024 · 33 citations)* Translating natural-language mathematics into formal code (autoformalization) has mostly been studied for languages with large online corpora, such as Lean 3. The newer and fast-changing Lean 4 lacks suitable training and evaluation data. The authors address this with two contributions. 4. **[Lyra: Orchestrating Dual Correction in Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/zheng-2023-lyra-orchestrating-dual-correction-automated/)** *(2023 · 24 citations)* Lyra targets automated formal theorem proving in Isabelle with large language models. It builds on the Draft, Sketch, and Prove (DSP) pipeline, where an LLM turns an informal proof into a formal sketch and an automated prover fills the remaining gaps. The authors identify two weaknesses in this setup. First, LLMs… 5. **[TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models](https://md.research.elamur.ai/free/en/papers/xiong-2023-trigo-benchmarking-formal-mathematical-proof/)** *(2023 · 21 citations)* TRIGO is a benchmark for testing whether generative language models can perform formal proof reduction that depends on numerical manipulation, such as grouping and factoring terms or substituting equivalent angle values. ## All works 8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Generate & Rank: A Multi-task Framework for Math Word Problems ↗](https://aclanthology.org/2021.findings-emnlp.195/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Jianhao Shen et al.*2021 · 152 citations* 2. [**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/) 3. **[DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function](https://md.research.elamur.ai/free/en/papers/wang-2023-dt-solver-automated-theorem-proving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haiming Wang, Ye Yuan, Zhengying Liu, et al.*2023 · 40 citations* 4. [**Process-Driven Autoformalization in Lean 4 arXiv:2406.01940**Jianqiao Lu, Yingjia Wan, Zhengying Liu, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-process-driven-autoformalization-lean-4/) 5. **[Joint Language Semantic and Structure Embedding for Knowledge Graph Completion ↗](https://aclanthology.org/2022.coling-1.171/) Proceedings of the 29th International Conference on Computational Linguistics · no summary yet**Jianhao Shen et al.*2022 · 29 citations* 6. [**Lyra: Orchestrating Dual Correction in Automated Theorem Proving arXiv:2309.15806**Chuanyang Zheng, Haiming Wang, Enze Xie, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lyra-orchestrating-dual-correction-automated/) 7. **[TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models](https://md.research.elamur.ai/free/en/papers/xiong-2023-trigo-benchmarking-formal-mathematical-proof/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jing Xiong, Jianhao Shen, Ye Yuan, et al.*2023 · 21 citations* 8. **[PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion ↗](https://aclanthology.org/2022.findings-emnlp.281/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Jianhao Shen et al.*2022 · 4 citations* ## Co-authors here 12 of 26 co-authors with a page, the most papers together first. - [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/) ×5 - [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×5 - [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/) ×3 - [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) ×3 - [Lin Li](https://md.research.elamur.ai/free/en/authors/lin-li/) ×3 - [Ye Yuan](https://md.research.elamur.ai/free/en/authors/ye-yuan/) ×3 - [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/) ×3 - [Chengwu Liu](https://md.research.elamur.ai/free/en/authors/chengwu-liu/) ×2 - [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 - [Yinya Huang](https://md.research.elamur.ai/free/en/authors/yinya-huang/) ×2 - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Findings of the Association for Computational Linguistics: EMNLP 2021 ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/) - Proceedings of the 29th International Conference on Computational Linguistics ## Cited by Papers of our library cite their works 232 times (of the 149,439 papers whose bibliographies we read); [81 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianhao-shen/cited-by/). Updated 3 November 2026