--- title: "Zhenguo Li — author profile and papers — Elamur Research" description: "Zhenguo Li, Northwestern Polytechnical University: 5 papers on Elamur Research (2023), h-index 46 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/zhenguo-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhenguo-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhenguo Li # Zhenguo Li Zhenguo Li has 5 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/), [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 [OpenAlex](https://openalex.org/A5103196797) · [ORCID](https://orcid.org/0000-0002-8492-3069) · [Wikidata](https://www.wikidata.org/wiki/Q131013316) · [**h-index 46**](https://openalex.org/authors/A5103196797) · [240 works](https://openalex.org/works?filter=author.id:A5103196797) · [10,445 citations](https://openalex.org/works?filter=author.id:A5103196797&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/zhenguo-li/#papers) · [🔗 Cited 1,233 times in our library](https://md.research.elamur.ai/free/en/authors/zhenguo-li/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2840](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2840) 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=Zhenguo+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhenguo+Li) · [dblp](https://dblp.org/search?q=Zhenguo+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Zhenguo+Li) ## Affiliations [🏢**Huawei Technologies** Shenzhen · China 2013–2026 · 133 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Northwestern Polytechnical University** Xi'an · China 2020–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/northwestern-polytechnical-university/) · [🏢**Robotics Research** Cincinnati · United States 2026 · 1 paper*current*](https://ror.org/020w2fr77) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2006–2009 · 10 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Shandong University** Jinan · China 2011–2014 · 5 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Columbia University** New York · United States 2011–2013 · 5 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🏢**Huawei Technologies** Markham · Canada 2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies-canada/) · [🎓**Dalian Medical University** Dalian · China 2022–2023 · 2 papers](https://ror.org/04c8eg608) · [🏥**Second Affiliated Hospital of Dalian Medical University** Dalian · China 2022–2023 · 2 papers](https://ror.org/012f2cn18) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 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 8 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2023** 5 papers](https://md.research.elamur.ai/free/en/authors/zhenguo-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)** *(2023 · 565 citations)* Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset… 2. **[Progressive-Hint Prompting Improves Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2023-progressive-hint-prompting-improves-reasoning/)** *(2023 · 131 citations)* Few-shot prompting methods such as Chain-of-Thought (CoT) and self-consistency improve multi-step reasoning in LLMs, but they treat each answer as final and never feed it back to the model. 3. **[PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/)** *(2023 · 87 citations)* Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars. 4. **[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… 5. **[G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model](https://md.research.elamur.ai/free/en/papers/gao-2023-g-llava-solving-geometric-problem/)** *(2023 · 76 citations)* Multimodal LLMs, including GPT-4-V, often misread geometric diagrams. They confuse how points and lines relate, misjudge angles and hallucinate figure contents, so they struggle with geometry problems that require visual input. Public geometry datasets are also small and lack image descriptions. The authors address… ## All works 21 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. **[DeepFM: A Factorization-Machine based Neural Network for CTR Prediction ↗](https://doi.org/10.24963/ijcai.2017/239) International Joint Conference on Artificial Intelligence · no summary yet**Huifeng Guo et al.*2017 · 2,612 citations* 2. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models arXiv:2309.12284**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 565 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/) 3. **[DetCo: Unsupervised Contrastive Learning for Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00828) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Enze Xie et al.*2021 · 340 citations* 4. **[Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ↗](https://doi.org/10.1109/iccv.2019.00675) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Hang Xu et al.*2019 · 229 citations* 5. **[DDP: Diffusion Model for Dense Visual Prediction ↗](https://doi.org/10.1109/iccv51070.2023.01987) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yuanfeng Ji et al.*2023 · 153 citations* 6. **[Spatial-Aware Graph Relation Network for Large-Scale Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00952) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hang Xu et al.*2019 · 141 citations* 7. [**Progressive-Hint Prompting Improves Reasoning in Large Language Models arXiv:2304.09797**Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.*2023 · 131 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-progressive-hint-prompting-improves-reasoning/) 8. **[Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00658) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hang Xu et al.*2019 · 107 citations* 9. **[T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation ↗](https://doi.org/10.52202/075280-3443) neural information processing systems · no summary yet**Kaiyi Huang et al.*2023 · 104 citations* 10. **[T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation ↗](https://arxiv.org/abs/2307.06350) arXiv:2307.06350 · no summary yet**Kaiyi Huang et al.*2023 · 97 citations* 11. **[SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection ↗](https://arxiv.org/abs/1911.09929) arXiv:1911.09929 · no summary yet**Lewei Yao et al.*2019 · 95 citations* 12. [**PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis arXiv:2310.00426**Junsong Chen, Jincheng Yu, Chongjian Ge, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-pixart-alpha-fast-training-diffusion/) 13. [**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/) 14. [**G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model arXiv:2312.11370**Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.*2023 · 76 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-g-llava-solving-geometric-problem/) 15. **[MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ↗](https://doi.org/10.1109/iccv51070.2023.00801) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Chongjian Ge et al.*2023 · 67 citations* 16. **[Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00328) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Hanxue Liang et al.*2021 · 60 citations* 17. **[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* 18. **[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* 19. **[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* 20. **[Mathesis: Towards Formal Theorem Proving from Natural Languages ↗](https://arxiv.org/abs/2506.07047) arXiv:2506.07047 · no summary yet**Yu Xuejun et al.*2025 · 9 citations* 21. **[ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis ↗](https://arxiv.org/abs/2501.18310) arXiv:2501.18310 · no summary yet**Haoxiong Liu et al.*2025 · 4 citations* ## Co-authors here 12 of 27 co-authors with a page, the most papers together first. - [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/) ×3 - [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×3 - [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/) ×2 - [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/) ×2 - [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/) ×2 - [Jincheng Yu](https://md.research.elamur.ai/free/en/authors/jincheng-yu/) ×2 - [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/) - [Hang Xu](https://md.research.elamur.ai/free/en/authors/hang-xu/) - [Huajian Xin](https://md.research.elamur.ai/free/en/authors/huajian-xin/) - [Jiacheng Ye](https://md.research.elamur.ai/free/en/authors/jiacheng-ye/) - [Jiahui Gao](https://md.research.elamur.ai/free/en/authors/jiahui-gao/) - [Jian Yin](https://md.research.elamur.ai/free/en/authors/jian-yin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE/CVF International Conference on Computer Vision (ICCV) ×5 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2 - International Joint Conference on Artificial Intelligence - Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) - neural information processing systems ## Cited by Papers of our library cite their works 1,233 times (of the 149,439 papers whose bibliographies we read); [284 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhenguo-li/cited-by/). Updated 2 November 2026