---
title: "Enze Xie · King University — author profile and papers"
description: "Enze Xie, King University: 4 papers on Elamur Research (2023), h-index 36 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/enze-xie/"
---
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# Enze Xie

Enze Xie has 4 papers in our library, in 2023, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/), [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/), [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/).

4 papers in our library · 2023

[OpenAlex](https://openalex.org/A5041031140) · [ORCID](https://orcid.org/0000-0001-6890-1049) · [**h-index 36**](https://openalex.org/authors/A5041031140) · [123 works](https://openalex.org/works?filter=author.id:A5041031140) · [16,193 citations](https://openalex.org/works?filter=author.id:A5041031140&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/enze-xie/#papers) · [🔗 Cited 502 times in our library](https://md.research.elamur.ai/free/en/authors/enze-xie/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5358](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5358)

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

## Affiliations

[🏢**Huawei Technologies** Shenzhen · China 2023–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🏢**Nvidia** Santa Clara · United States 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**King University** Bristol · United States 2026 · 1 paper*current*](https://ror.org/01evb6z23) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2019–2025 · 34 papersEducation 2019–2022 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Tongji University** Shanghai · China 2018–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/tongji-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🏢**Huawei Technologies** Markham · Canada 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies-canada/)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2023** 4 papers](https://md.research.elamur.ai/free/en/authors/enze-xie/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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.
2. **[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.
3. **[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…
4. **[DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/)** *(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 ↗](https://doi.org/10.1109/iccv48922.2021.00061) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenhai Wang et al.*2021 · 5,076 citations*
2. **[Shape Robust Text Detection With Progressive Scale Expansion Network ↗](https://doi.org/10.1109/cvpr.2019.00956) 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**Wenhai Wang et al.*2019 · 866 citations*
3. **[Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ↗](https://doi.org/10.1109/iccv.2019.00853) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenhai Wang et al.*2019 · 635 citations*
4. **[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*
5. **[Scene Text Detection with Supervised Pyramid Context Network ↗](https://doi.org/10.1609/aaai.v33i01.33019038) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Enze Xie et al.*2019 · 240 citations*
6. **[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*
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. **[CycleMLP: A MLP-Like Architecture for Dense Visual Predictions ↗](https://doi.org/10.1109/tpami.2023.3303397) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Shoufa Chen et al.*2023 · 123 citations*
9. **[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*
10. [**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/)
11. [**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/)
12. **[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*
13. **[Watch Only Once: An End-to-End Video Action Detection Framework ↗](https://doi.org/10.1109/iccv48922.2021.00807) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Shoufa Chen et al.*2021 · 61 citations*
14. [**DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning arXiv:2310.02954**Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/)
15. **[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*

## Co-authors here

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

- [Chuanyang Zheng](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/) ×3
- [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×3
- [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/) ×2
- [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) ×2
- [Qingxing Cao](https://md.research.elamur.ai/free/en/authors/qingxing-cao/) ×2
- [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×2
- [Chengming Li](https://md.research.elamur.ai/free/en/authors/chengming-li/)
- [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/)
- [Huajian Xin](https://md.research.elamur.ai/free/en/authors/huajian-xin/)
- [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/)
- [Jian Yin](https://md.research.elamur.ai/free/en/authors/jian-yin/)
- [Jincheng Yu](https://md.research.elamur.ai/free/en/authors/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 →](https://md.research.elamur.ai/free/en/authors/enze-xie/cited-by/).

Updated 2 November 2026