🧑‍🔬 Nanning Zheng

🏛️ Affiliations

🎓Xi'an Jiaotong UniversityXi'an · China1987–2026 · 1,091 papersEducationcurrent🎓Keio UniversityTokyo · Japan1984–2005 · 3 papersEducation🏛️Chinese Academy of SciencesBeijing · China2021–2023 · 2 papers🏢MicrosoftRedmond · United States2023 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. LongNet: Scaling Transformers to 1,000,000,000 Tokens (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 (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 (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDe Cheng et al.2016 · 1,267 citations
2. Salient Object Detection: A Discriminative Regional Feature Integration Approach ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHuaizu Jiang et al.2013 · 1,159 citations
3. SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPu Zhang et al.2019 · 543 citations
4. Similarity Learning with Spatial Constraints for Person Re-identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDapeng Chen et al.2016 · 325 citations
5. Similarity learning on an explicit polynomial kernel feature map for person re-identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDapeng Chen et al.2015 · 193 citations
6. TransVPR: Transformer-Based Place Recognition with Multi-Level Attention Aggregation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRuotong Wang et al.2022 · 187 citations
7. Point to Set Similarity Based Deep Feature Learning for Person Re-Identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSanping Zhou et al.2017 · 143 citations
8. LongNet: Scaling Transformers to 1,000,000,000 TokensarXiv:2307.02486Jiayu Ding, Shuming Ma, Li Dong, et al.2023 · 123 citations
9. Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZiyi Liu et al.2019 · 120 citations
10. Make Your LLM Fully Utilize the ContextConference on Neural Information Processing Systems (NeurIPS)Shengnan An, Zexiong Ma, Zeqi Lin, et al.2024 · 97 citations
11. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations
12. ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZiyi Liu et al.2021 · 79 citations
13. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations

🤝 Co-authors here

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

• Jian-Guang Lou ×2
• Shengnan An ×2
• Zeqi Lin ×2
• Zexiong Ma ×2
• Chen Li
• Furu Wei
• Han Hu
• Houwen Peng
• Jingcheng Hu
• Li Dong
• Shaohan Huang
• 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): NeurIPS 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 →.

Updated 2 November 2026

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