---
title: "Nanning Zheng — author profile and papers — Elamur Research"
description: "Nanning Zheng, Xi'an Jiaotong University: 4 papers on Elamur Research (2023–2024), h-index 79 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/nanning-zheng/"
---
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# Nanning Zheng

Nanning Zheng has 4 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jian-Guang Lou](https://md.research.elamur.ai/free/en/authors/jian-guang-lou/), [Shengnan An](https://md.research.elamur.ai/free/en/authors/shengnan-an/), [Zeqi Lin](https://md.research.elamur.ai/free/en/authors/zeqi-lin/).

4 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5047405956) · [ORCID](https://orcid.org/0000-0003-1608-8257) · [Wikidata](https://www.wikidata.org/wiki/Q9096080) · [**h-index 79**](https://openalex.org/authors/A5047405956) · [1,189 works](https://openalex.org/works?filter=author.id:A5047405956) · [36,182 citations](https://openalex.org/works?filter=author.id:A5047405956&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/nanning-zheng/#papers) · [🔗 Cited 316 times in our library](https://md.research.elamur.ai/free/en/authors/nanning-zheng/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5083](https://md.research.elamur.ai/free/en/paper-stars/page/51/#star-5083)

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

## Affiliations

[🎓**Xi'an Jiaotong University** Xi'an · China 1987–2026 · 1,091 papersEducation*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Keio University** Tokyo · Japan 1984–2005 · 3 papersEducation](https://md.research.elamur.ai/free/en/universities/keio-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🏢**Microsoft** Redmond · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/nanning-zheng/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/nanning-zheng/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LongNet: Scaling Transformers to 1,000,000,000 Tokens](https://md.research.elamur.ai/free/en/papers/ding-2023-longnet-scaling-transformers-1-000/)** *(2023 · 123 citations)* Standard self-attention scales quadratically with input length, which caps how long a context Transformers can handle.
2. **[Make Your LLM Fully Utilize the Context](https://md.research.elamur.ai/free/en/papers/an-2024-make-llm-fully-utilize-context/)** *(2024 · 97 citations)* Long-context LLMs can accept tens of thousands of tokens, yet they often miss facts located in the middle of the input.
3. **[Common 7B Language Models Already Possess Strong Math Capabilities](https://md.research.elamur.ai/free/en/papers/li-2024-common-7b-language-models-already/)** *(2024 · 79 citations)* The paper challenges the belief that math reasoning appears only in very large models or in models pre-trained heavily on mathematical text.
4. **[Learning From Mistakes Makes LLM Better Reasoner](https://md.research.elamur.ai/free/en/papers/an-2023-learning-mistakes-makes-llm-better/)** *(2023 · 64 citations)* Open-source LLMs such as LLaMA-2 still lag behind proprietary systems on multi-step math reasoning. They are usually improved by fine-tuning on question–rationale pairs (CoT data). This paper proposes LEMA (LEarning from MistAkes), which borrows the way students learn from their own errors. Several LLaMA and GPT…

## All works

13 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. **[Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function ↗](https://doi.org/10.1109/cvpr.2016.149) 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**De Cheng et al.*2016 · 1,267 citations*
2. **[Salient Object Detection: A Discriminative Regional Feature Integration Approach ↗](https://doi.org/10.1109/cvpr.2013.271) 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**Huaizu Jiang et al.*2013 · 1,159 citations*
3. **[SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction ↗](https://doi.org/10.1109/cvpr.2019.01236) 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**Pu Zhang et al.*2019 · 543 citations*
4. **[Similarity Learning with Spatial Constraints for Person Re-identification ↗](https://doi.org/10.1109/cvpr.2016.142) 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**Dapeng Chen et al.*2016 · 325 citations*
5. **[Similarity learning on an explicit polynomial kernel feature map for person re-identification ↗](https://doi.org/10.1109/cvpr.2015.7298764) 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**Dapeng Chen et al.*2015 · 193 citations*
6. **[TransVPR: Transformer-Based Place Recognition with Multi-Level Attention Aggregation ↗](https://doi.org/10.1109/cvpr52688.2022.01328) 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**Ruotong Wang et al.*2022 · 187 citations*
7. **[Point to Set Similarity Based Deep Feature Learning for Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2017.534) 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**Sanping Zhou et al.*2017 · 143 citations*
8. [**LongNet: Scaling Transformers to 1,000,000,000 Tokens arXiv:2307.02486**Jiayu Ding, Shuming Ma, Li Dong, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/ding-2023-longnet-scaling-transformers-1-000/)
9. **[Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks ↗](https://doi.org/10.1109/iccv.2019.00400) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ziyi Liu et al.*2019 · 120 citations*
10. **[Make Your LLM Fully Utilize the Context](https://md.research.elamur.ai/free/en/papers/an-2024-make-llm-fully-utilize-context/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shengnan An, Zexiong Ma, Zeqi Lin, et al.*2024 · 97 citations*
11. [**Common 7B Language Models Already Possess Strong Math Capabilities arXiv:2403.04706**Chen Li, Weiqi Wang, Jingcheng Hu, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-common-7b-language-models-already/)
12. **[ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization ↗](https://doi.org/10.1609/aaai.v35i3.16322) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ziyi Liu et al.*2021 · 79 citations*
13. [**Learning From Mistakes Makes LLM Better Reasoner arXiv:2310.20689**Shengnan An, Zexiong Ma, Zeqi Lin, et al.*2023 · 64 citations*](https://md.research.elamur.ai/free/en/papers/an-2023-learning-mistakes-makes-llm-better/)

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Jian-Guang Lou](https://md.research.elamur.ai/free/en/authors/jian-guang-lou/) ×2
- [Shengnan An](https://md.research.elamur.ai/free/en/authors/shengnan-an/) ×2
- [Zeqi Lin](https://md.research.elamur.ai/free/en/authors/zeqi-lin/) ×2
- [Zexiong Ma](https://md.research.elamur.ai/free/en/authors/zexiong-ma/) ×2
- [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/)
- [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/)
- [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/)
- [Houwen Peng](https://md.research.elamur.ai/free/en/authors/houwen-peng/)
- [Jingcheng Hu](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/)
- [Li Dong](https://md.research.elamur.ai/free/en/authors/li-dong/)
- [Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/)
- [Shuming Ma](https://md.research.elamur.ai/free/en/authors/shuming-ma/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×7
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- IEEE/CVF International Conference on Computer Vision (ICCV)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 316 times (of the 149,439 papers whose bibliographies we read); [90 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nanning-zheng/cited-by/).

Updated 2 November 2026