🧑‍🔬 Enze Xie

🏛️ Affiliations

🏢Huawei TechnologiesShenzhen · China2023–2026 · 18 paperscurrent🏢NvidiaSanta Clara · United States2024–2026 · 7 paperscurrent🏢NvidiaReading · United Kingdom2024–2026 · 5 paperscurrent🎓King UniversityBristol · United States2026 · 1 papercurrent🎓Peking UniversityBeijing · China2026 · 1 papercurrent🎓Zhejiang UniversityHangzhou · China2026 · 1 papercurrent🎓University of Hong KongPok Fu Lam · China2019–2025 · 34 papersEducation 2019–2022 · PhD, Computer Science🎓Tongji UniversityShanghai · China2018–2019 · 5 papers🏛️Chinese Academy of SciencesBeijing · China2022–2025 · 3 papers🏢Huawei TechnologiesMarkham · Canada2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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. Progressive-Hint Prompting Improves Reasoning in Large Language Models (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.
2. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (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.
3. LEGO-Prover: Neural Theorem Proving with Growing Libraries (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…
4. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning (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

15 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. Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetWenhai Wang et al.2021 · 5,076 citations
2. Shape Robust Text Detection With Progressive Scale Expansion Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWenhai Wang et al.2019 · 866 citations
3. Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetWenhai Wang et al.2019 · 635 citations
4. DetCo: Unsupervised Contrastive Learning for Object Detection ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetEnze Xie et al.2021 · 340 citations
5. Scene Text Detection with Supervised Pyramid Context Network ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetEnze Xie et al.2019 · 240 citations
6. DDP: Diffusion Model for Dense Visual Prediction ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYuanfeng Ji et al.2023 · 153 citations
7. Progressive-Hint Prompting Improves Reasoning in Large Language ModelsarXiv:2304.09797Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.2023 · 131 citations
8. CycleMLP: A MLP-Like Architecture for Dense Visual Predictions ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetShoufa Chen et al.2023 · 123 citations
9. T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation ↗arXiv:2307.06350 · no summary yetKaiyi Huang et al.2023 · 97 citations
10. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
11. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
12. MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetChongjian Ge et al.2023 · 67 citations
13. Watch Only Once: An End-to-End Video Action Detection Framework ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShoufa Chen et al.2021 · 61 citations
14. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
15. Lyra: Orchestrating Dual Correction in Automated Theorem Proving ↗arXiv:2309.15806 · no summary yetChuanyang Zheng et al.2023 · 24 citations

🤝 Co-authors here

12 of 22 co-authors with a page, the most papers together first.

• Chuanyang Zheng ×3
• Zhenguo Li ×3
• Haiming Wang ×2
• Jing Xiong ×2
• Qingxing Cao ×2
• Zhengying Liu ×2
• Chengming Li
• Han Shi
• Huajian Xin
• James Tin-Yau Kwok
• Jian Yin
• Jincheng Yu

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) ×6
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 502 times (of the 149,439 papers whose bibliographies we read); 59 citing papers with a page here →.

Updated 2 November 2026

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